Submit Search
Upload
IRJET - Employee Performance Prediction System using Data Mining
•
0 likes
•
83 views
IRJET Journal
Follow
https://irjet.net/archives/V7/i2/IRJET-V7I2323.pdf
Read less
Read more
Engineering
Report
Share
Report
Share
1 of 3
Download now
Download to read offline
Recommended
IRJET-Performance Enhancement in Machine Learning System using Hybrid Bee Col...
IRJET-Performance Enhancement in Machine Learning System using Hybrid Bee Col...
IRJET Journal
A NOVEL SCHEME FOR ACCURATE REMAINING USEFUL LIFE PREDICTION FOR INDUSTRIAL I...
A NOVEL SCHEME FOR ACCURATE REMAINING USEFUL LIFE PREDICTION FOR INDUSTRIAL I...
ijaia
IRJET- Student Placement Prediction using Machine Learning
IRJET- Student Placement Prediction using Machine Learning
IRJET Journal
REVIEWING PROCESS MINING APPLICATIONS AND TECHNIQUES IN EDUCATION
REVIEWING PROCESS MINING APPLICATIONS AND TECHNIQUES IN EDUCATION
ijaia
IRJET - Comparative Analysis of GUI based Prediction of Parkinson Disease usi...
IRJET - Comparative Analysis of GUI based Prediction of Parkinson Disease usi...
IRJET Journal
Correlation of artificial neural network classification and nfrs attribute fi...
Correlation of artificial neural network classification and nfrs attribute fi...
eSAT Journals
IJCER (www.ijceronline.com) International Journal of computational Engineerin...
IJCER (www.ijceronline.com) International Journal of computational Engineerin...
ijceronline
DATA AUGMENTATION TECHNIQUES AND TRANSFER LEARNING APPROACHES APPLIED TO FACI...
DATA AUGMENTATION TECHNIQUES AND TRANSFER LEARNING APPROACHES APPLIED TO FACI...
ijaia
Recommended
IRJET-Performance Enhancement in Machine Learning System using Hybrid Bee Col...
IRJET-Performance Enhancement in Machine Learning System using Hybrid Bee Col...
IRJET Journal
A NOVEL SCHEME FOR ACCURATE REMAINING USEFUL LIFE PREDICTION FOR INDUSTRIAL I...
A NOVEL SCHEME FOR ACCURATE REMAINING USEFUL LIFE PREDICTION FOR INDUSTRIAL I...
ijaia
IRJET- Student Placement Prediction using Machine Learning
IRJET- Student Placement Prediction using Machine Learning
IRJET Journal
REVIEWING PROCESS MINING APPLICATIONS AND TECHNIQUES IN EDUCATION
REVIEWING PROCESS MINING APPLICATIONS AND TECHNIQUES IN EDUCATION
ijaia
IRJET - Comparative Analysis of GUI based Prediction of Parkinson Disease usi...
IRJET - Comparative Analysis of GUI based Prediction of Parkinson Disease usi...
IRJET Journal
Correlation of artificial neural network classification and nfrs attribute fi...
Correlation of artificial neural network classification and nfrs attribute fi...
eSAT Journals
IJCER (www.ijceronline.com) International Journal of computational Engineerin...
IJCER (www.ijceronline.com) International Journal of computational Engineerin...
ijceronline
DATA AUGMENTATION TECHNIQUES AND TRANSFER LEARNING APPROACHES APPLIED TO FACI...
DATA AUGMENTATION TECHNIQUES AND TRANSFER LEARNING APPROACHES APPLIED TO FACI...
ijaia
MOVIE SUCCESS PREDICTION AND PERFORMANCE COMPARISON USING VARIOUS STATISTICAL...
MOVIE SUCCESS PREDICTION AND PERFORMANCE COMPARISON USING VARIOUS STATISTICAL...
ijaia
MITIGATION TECHNIQUES TO OVERCOME DATA HARM IN MODEL BUILDING FOR ML
MITIGATION TECHNIQUES TO OVERCOME DATA HARM IN MODEL BUILDING FOR ML
ijaia
DEEP-LEARNING-BASED HUMAN INTENTION PREDICTION WITH DATA AUGMENTATION
DEEP-LEARNING-BASED HUMAN INTENTION PREDICTION WITH DATA AUGMENTATION
ijaia
IRJET- Predictive Analytics for Placement of Student- A Comparative Study
IRJET- Predictive Analytics for Placement of Student- A Comparative Study
IRJET Journal
Software Bug Detection Algorithm using Data mining Techniques
Software Bug Detection Algorithm using Data mining Techniques
AM Publications
COMPARATIVE ANALYSIS OF DIFFERENT MACHINE LEARNING ALGORITHMS FOR PLANT DISEA...
COMPARATIVE ANALYSIS OF DIFFERENT MACHINE LEARNING ALGORITHMS FOR PLANT DISEA...
International Research Journal of Modernization in Engineering Technology and Science
PREDICTION OF MALIGNANCY IN SUSPECTED THYROID TUMOUR PATIENTS BY THREE DIFFER...
PREDICTION OF MALIGNANCY IN SUSPECTED THYROID TUMOUR PATIENTS BY THREE DIFFER...
cscpconf
Identification of important features and data mining classification technique...
Identification of important features and data mining classification technique...
IJECEIAES
Biometric Identification and Authentication Providence using Fingerprint for ...
Biometric Identification and Authentication Providence using Fingerprint for ...
IJECEIAES
An Architecture for Simplified and Automated Machine Learning
An Architecture for Simplified and Automated Machine Learning
IJECEIAES
A Defect Prediction Model for Software Product based on ANFIS
A Defect Prediction Model for Software Product based on ANFIS
IJSRD
IRJET- Medical Data Mining
IRJET- Medical Data Mining
IRJET Journal
Advanced Question Paper Generator using Fuzzy Logic
Advanced Question Paper Generator using Fuzzy Logic
IRJET Journal
4113ijaia09
4113ijaia09
Rajkishorepanda
Performance analysis of binary and multiclass models using azure machine lear...
Performance analysis of binary and multiclass models using azure machine lear...
IJECEIAES
IRJET- E-MORES: Efficient Multiple Output Regression for Streaming Data
IRJET- E-MORES: Efficient Multiple Output Regression for Streaming Data
IRJET Journal
Clustering Prediction Techniques in Defining and Predicting Customers Defecti...
Clustering Prediction Techniques in Defining and Predicting Customers Defecti...
IJECEIAES
Feature Selection : A Novel Approach for the Prediction of Learning Disabilit...
Feature Selection : A Novel Approach for the Prediction of Learning Disabilit...
csandit
Data mining for prediction of human
Data mining for prediction of human
IJDKP
Developing a framework for
Developing a framework for
csandit
A New Approach of Analysis of Student Results by using MapReduce
A New Approach of Analysis of Student Results by using MapReduce
IRJET Journal
Applying Classification Technique using DID3 Algorithm to improve Decision Su...
Applying Classification Technique using DID3 Algorithm to improve Decision Su...
IJMER
More Related Content
What's hot
MOVIE SUCCESS PREDICTION AND PERFORMANCE COMPARISON USING VARIOUS STATISTICAL...
MOVIE SUCCESS PREDICTION AND PERFORMANCE COMPARISON USING VARIOUS STATISTICAL...
ijaia
MITIGATION TECHNIQUES TO OVERCOME DATA HARM IN MODEL BUILDING FOR ML
MITIGATION TECHNIQUES TO OVERCOME DATA HARM IN MODEL BUILDING FOR ML
ijaia
DEEP-LEARNING-BASED HUMAN INTENTION PREDICTION WITH DATA AUGMENTATION
DEEP-LEARNING-BASED HUMAN INTENTION PREDICTION WITH DATA AUGMENTATION
ijaia
IRJET- Predictive Analytics for Placement of Student- A Comparative Study
IRJET- Predictive Analytics for Placement of Student- A Comparative Study
IRJET Journal
Software Bug Detection Algorithm using Data mining Techniques
Software Bug Detection Algorithm using Data mining Techniques
AM Publications
COMPARATIVE ANALYSIS OF DIFFERENT MACHINE LEARNING ALGORITHMS FOR PLANT DISEA...
COMPARATIVE ANALYSIS OF DIFFERENT MACHINE LEARNING ALGORITHMS FOR PLANT DISEA...
International Research Journal of Modernization in Engineering Technology and Science
PREDICTION OF MALIGNANCY IN SUSPECTED THYROID TUMOUR PATIENTS BY THREE DIFFER...
PREDICTION OF MALIGNANCY IN SUSPECTED THYROID TUMOUR PATIENTS BY THREE DIFFER...
cscpconf
Identification of important features and data mining classification technique...
Identification of important features and data mining classification technique...
IJECEIAES
Biometric Identification and Authentication Providence using Fingerprint for ...
Biometric Identification and Authentication Providence using Fingerprint for ...
IJECEIAES
An Architecture for Simplified and Automated Machine Learning
An Architecture for Simplified and Automated Machine Learning
IJECEIAES
A Defect Prediction Model for Software Product based on ANFIS
A Defect Prediction Model for Software Product based on ANFIS
IJSRD
IRJET- Medical Data Mining
IRJET- Medical Data Mining
IRJET Journal
Advanced Question Paper Generator using Fuzzy Logic
Advanced Question Paper Generator using Fuzzy Logic
IRJET Journal
4113ijaia09
4113ijaia09
Rajkishorepanda
Performance analysis of binary and multiclass models using azure machine lear...
Performance analysis of binary and multiclass models using azure machine lear...
IJECEIAES
IRJET- E-MORES: Efficient Multiple Output Regression for Streaming Data
IRJET- E-MORES: Efficient Multiple Output Regression for Streaming Data
IRJET Journal
Clustering Prediction Techniques in Defining and Predicting Customers Defecti...
Clustering Prediction Techniques in Defining and Predicting Customers Defecti...
IJECEIAES
Feature Selection : A Novel Approach for the Prediction of Learning Disabilit...
Feature Selection : A Novel Approach for the Prediction of Learning Disabilit...
csandit
What's hot
(18)
MOVIE SUCCESS PREDICTION AND PERFORMANCE COMPARISON USING VARIOUS STATISTICAL...
MOVIE SUCCESS PREDICTION AND PERFORMANCE COMPARISON USING VARIOUS STATISTICAL...
MITIGATION TECHNIQUES TO OVERCOME DATA HARM IN MODEL BUILDING FOR ML
MITIGATION TECHNIQUES TO OVERCOME DATA HARM IN MODEL BUILDING FOR ML
DEEP-LEARNING-BASED HUMAN INTENTION PREDICTION WITH DATA AUGMENTATION
DEEP-LEARNING-BASED HUMAN INTENTION PREDICTION WITH DATA AUGMENTATION
IRJET- Predictive Analytics for Placement of Student- A Comparative Study
IRJET- Predictive Analytics for Placement of Student- A Comparative Study
Software Bug Detection Algorithm using Data mining Techniques
Software Bug Detection Algorithm using Data mining Techniques
COMPARATIVE ANALYSIS OF DIFFERENT MACHINE LEARNING ALGORITHMS FOR PLANT DISEA...
COMPARATIVE ANALYSIS OF DIFFERENT MACHINE LEARNING ALGORITHMS FOR PLANT DISEA...
PREDICTION OF MALIGNANCY IN SUSPECTED THYROID TUMOUR PATIENTS BY THREE DIFFER...
PREDICTION OF MALIGNANCY IN SUSPECTED THYROID TUMOUR PATIENTS BY THREE DIFFER...
Identification of important features and data mining classification technique...
Identification of important features and data mining classification technique...
Biometric Identification and Authentication Providence using Fingerprint for ...
Biometric Identification and Authentication Providence using Fingerprint for ...
An Architecture for Simplified and Automated Machine Learning
An Architecture for Simplified and Automated Machine Learning
A Defect Prediction Model for Software Product based on ANFIS
A Defect Prediction Model for Software Product based on ANFIS
IRJET- Medical Data Mining
IRJET- Medical Data Mining
Advanced Question Paper Generator using Fuzzy Logic
Advanced Question Paper Generator using Fuzzy Logic
4113ijaia09
4113ijaia09
Performance analysis of binary and multiclass models using azure machine lear...
Performance analysis of binary and multiclass models using azure machine lear...
IRJET- E-MORES: Efficient Multiple Output Regression for Streaming Data
IRJET- E-MORES: Efficient Multiple Output Regression for Streaming Data
Clustering Prediction Techniques in Defining and Predicting Customers Defecti...
Clustering Prediction Techniques in Defining and Predicting Customers Defecti...
Feature Selection : A Novel Approach for the Prediction of Learning Disabilit...
Feature Selection : A Novel Approach for the Prediction of Learning Disabilit...
Similar to IRJET - Employee Performance Prediction System using Data Mining
Data mining for prediction of human
Data mining for prediction of human
IJDKP
Developing a framework for
Developing a framework for
csandit
A New Approach of Analysis of Student Results by using MapReduce
A New Approach of Analysis of Student Results by using MapReduce
IRJET Journal
Applying Classification Technique using DID3 Algorithm to improve Decision Su...
Applying Classification Technique using DID3 Algorithm to improve Decision Su...
IJMER
Credit card fraud detection using python machine learning
Credit card fraud detection using python machine learning
Sandeep Garg
MACHINE LEARNING CLASSIFIERS TO ANALYZE CREDIT RISK
MACHINE LEARNING CLASSIFIERS TO ANALYZE CREDIT RISK
IRJET Journal
SEAMLESS AUTOMATION AND INTEGRATION OF MACHINE LEARNING CAPABILITIES FOR BIG ...
SEAMLESS AUTOMATION AND INTEGRATION OF MACHINE LEARNING CAPABILITIES FOR BIG ...
ijdpsjournal
SEAMLESS AUTOMATION AND INTEGRATION OF MACHINE LEARNING CAPABILITIES FOR BIG ...
SEAMLESS AUTOMATION AND INTEGRATION OF MACHINE LEARNING CAPABILITIES FOR BIG ...
ijdpsjournal
Paper id 29201413
Paper id 29201413
IJRAT
IRJET - An Overview of Machine Learning Algorithms for Data Science
IRJET - An Overview of Machine Learning Algorithms for Data Science
IRJET Journal
Data Analytics Course Curriculum_ What to Expect and How to Prepare in 2023.pdf
Data Analytics Course Curriculum_ What to Expect and How to Prepare in 2023.pdf
Neha Singh
Overlooked aspects of data governance: workflow framework for enterprise data...
Overlooked aspects of data governance: workflow framework for enterprise data...
Anastasija Nikiforova
data mining, a prediction technique for workers.pdf
data mining, a prediction technique for workers.pdf
NavAhmed3
IRJET- Comparative Analysis of Various Tools for Data Mining and Big Data...
IRJET- Comparative Analysis of Various Tools for Data Mining and Big Data...
IRJET Journal
Big Data Analytics
Big Data Analytics
JOSEPH FRANCIS
Data Mining: A prediction Technique for the workers in the PR Department of O...
Data Mining: A prediction Technique for the workers in the PR Department of O...
ijcseit
IRJET- Fault Detection and Prediction of Failure using Vibration Analysis
IRJET- Fault Detection and Prediction of Failure using Vibration Analysis
IRJET Journal
A Compendium of Various Applications of Machine Learning
A Compendium of Various Applications of Machine Learning
IRJET Journal
A Comparative Study of Techniques to Predict Customer Churn in Telecommunicat...
A Comparative Study of Techniques to Predict Customer Churn in Telecommunicat...
IRJET Journal
Loan Default Prediction Using Machine Learning Techniques
Loan Default Prediction Using Machine Learning Techniques
IRJET Journal
Similar to IRJET - Employee Performance Prediction System using Data Mining
(20)
Data mining for prediction of human
Data mining for prediction of human
Developing a framework for
Developing a framework for
A New Approach of Analysis of Student Results by using MapReduce
A New Approach of Analysis of Student Results by using MapReduce
Applying Classification Technique using DID3 Algorithm to improve Decision Su...
Applying Classification Technique using DID3 Algorithm to improve Decision Su...
Credit card fraud detection using python machine learning
Credit card fraud detection using python machine learning
MACHINE LEARNING CLASSIFIERS TO ANALYZE CREDIT RISK
MACHINE LEARNING CLASSIFIERS TO ANALYZE CREDIT RISK
SEAMLESS AUTOMATION AND INTEGRATION OF MACHINE LEARNING CAPABILITIES FOR BIG ...
SEAMLESS AUTOMATION AND INTEGRATION OF MACHINE LEARNING CAPABILITIES FOR BIG ...
SEAMLESS AUTOMATION AND INTEGRATION OF MACHINE LEARNING CAPABILITIES FOR BIG ...
SEAMLESS AUTOMATION AND INTEGRATION OF MACHINE LEARNING CAPABILITIES FOR BIG ...
Paper id 29201413
Paper id 29201413
IRJET - An Overview of Machine Learning Algorithms for Data Science
IRJET - An Overview of Machine Learning Algorithms for Data Science
Data Analytics Course Curriculum_ What to Expect and How to Prepare in 2023.pdf
Data Analytics Course Curriculum_ What to Expect and How to Prepare in 2023.pdf
Overlooked aspects of data governance: workflow framework for enterprise data...
Overlooked aspects of data governance: workflow framework for enterprise data...
data mining, a prediction technique for workers.pdf
data mining, a prediction technique for workers.pdf
IRJET- Comparative Analysis of Various Tools for Data Mining and Big Data...
IRJET- Comparative Analysis of Various Tools for Data Mining and Big Data...
Big Data Analytics
Big Data Analytics
Data Mining: A prediction Technique for the workers in the PR Department of O...
Data Mining: A prediction Technique for the workers in the PR Department of O...
IRJET- Fault Detection and Prediction of Failure using Vibration Analysis
IRJET- Fault Detection and Prediction of Failure using Vibration Analysis
A Compendium of Various Applications of Machine Learning
A Compendium of Various Applications of Machine Learning
A Comparative Study of Techniques to Predict Customer Churn in Telecommunicat...
A Comparative Study of Techniques to Predict Customer Churn in Telecommunicat...
Loan Default Prediction Using Machine Learning Techniques
Loan Default Prediction Using Machine Learning Techniques
More from IRJET Journal
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
IRJET Journal
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
IRJET Journal
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
IRJET Journal
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil Characteristics
IRJET Journal
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
IRJET Journal
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
IRJET Journal
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
IRJET Journal
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
IRJET Journal
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADAS
IRJET Journal
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
IRJET Journal
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
IRJET Journal
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
IRJET Journal
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
IRJET Journal
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridges
IRJET Journal
React based fullstack edtech web application
React based fullstack edtech web application
IRJET Journal
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
IRJET Journal
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
IRJET Journal
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
IRJET Journal
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
IRJET Journal
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
IRJET Journal
More from IRJET Journal
(20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil Characteristics
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADAS
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridges
React based fullstack edtech web application
React based fullstack edtech web application
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Recently uploaded
DJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINE
DJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINE
slot gacor bisa pakai pulsa
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Dr.Costas Sachpazis
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
Call Girls in Nagpur High Profile
Booking open Available Pune Call Girls Pargaon 6297143586 Call Hot Indian Gi...
Booking open Available Pune Call Girls Pargaon 6297143586 Call Hot Indian Gi...
Call Girls in Nagpur High Profile
KubeKraft presentation @CloudNativeHooghly
KubeKraft presentation @CloudNativeHooghly
sanyuktamishra911
Porous Ceramics seminar and technical writing
Porous Ceramics seminar and technical writing
rakeshbaidya232001
ONLINE FOOD ORDER SYSTEM PROJECT REPORT.pdf
ONLINE FOOD ORDER SYSTEM PROJECT REPORT.pdf
Kamal Acharya
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur High Profile
Glass Ceramics: Processing and Properties
Glass Ceramics: Processing and Properties
Prabhanshu Chaturvedi
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
ranjana rawat
UNIT-II FMM-Flow Through Circular Conduits
UNIT-II FMM-Flow Through Circular Conduits
rknatarajan
Introduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptx
upamatechverse
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur High Profile
MANUFACTURING PROCESS-II UNIT-1 THEORY OF METAL CUTTING
MANUFACTURING PROCESS-II UNIT-1 THEORY OF METAL CUTTING
SIVASHANKAR N
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
SIVASHANKAR N
(INDIRA) Call Girl Aurangabad Call Now 8617697112 Aurangabad Escorts 24x7
(INDIRA) Call Girl Aurangabad Call Now 8617697112 Aurangabad Escorts 24x7
Call Girls in Nagpur High Profile Call Girls
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Dr.Costas Sachpazis
UNIT-III FMM. DIMENSIONAL ANALYSIS
UNIT-III FMM. DIMENSIONAL ANALYSIS
rknatarajan
Introduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptx
upamatechverse
Russian Call Girls in Nagpur Grishma Call 7001035870 Meet With Nagpur Escorts
Russian Call Girls in Nagpur Grishma Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur High Profile
Recently uploaded
(20)
DJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINE
DJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINE
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
Booking open Available Pune Call Girls Pargaon 6297143586 Call Hot Indian Gi...
Booking open Available Pune Call Girls Pargaon 6297143586 Call Hot Indian Gi...
KubeKraft presentation @CloudNativeHooghly
KubeKraft presentation @CloudNativeHooghly
Porous Ceramics seminar and technical writing
Porous Ceramics seminar and technical writing
ONLINE FOOD ORDER SYSTEM PROJECT REPORT.pdf
ONLINE FOOD ORDER SYSTEM PROJECT REPORT.pdf
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
Glass Ceramics: Processing and Properties
Glass Ceramics: Processing and Properties
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
UNIT-II FMM-Flow Through Circular Conduits
UNIT-II FMM-Flow Through Circular Conduits
Introduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptx
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
MANUFACTURING PROCESS-II UNIT-1 THEORY OF METAL CUTTING
MANUFACTURING PROCESS-II UNIT-1 THEORY OF METAL CUTTING
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
(INDIRA) Call Girl Aurangabad Call Now 8617697112 Aurangabad Escorts 24x7
(INDIRA) Call Girl Aurangabad Call Now 8617697112 Aurangabad Escorts 24x7
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
UNIT-III FMM. DIMENSIONAL ANALYSIS
UNIT-III FMM. DIMENSIONAL ANALYSIS
Introduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptx
Russian Call Girls in Nagpur Grishma Call 7001035870 Meet With Nagpur Escorts
Russian Call Girls in Nagpur Grishma Call 7001035870 Meet With Nagpur Escorts
IRJET - Employee Performance Prediction System using Data Mining
1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1552 Employee Performance Prediction System using Data Mining Tejas Raut1, Priya Kale2, Rashmi Sonkusare3, A. K. Gaikwad4 1,2,3Student, Dept. of Computer Science & Engineering, DES’S COET, Dhamangaon Rly 4Professor, Dept. of Computer Science & Engineering, DES’S COET, Dhamangaon Rly ---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract - Human capital is of a high concern for companies’ management where their most interest is in hiring the highly qualified personnel which are expected to perform highly as well. Human Resources Management (HRM) has become one of theessential interestsofmanagers and decision makers in almost all types of businesses to adopt plans for correctly discovering highly qualified employees. Accordingly, managements become interested about the performance of these employees. Results show that professional skill development programs are needed in order to prepare employees to perform their tasks more efficiently. The knowledge flow model of the Open source tool is also used to frame the elements. To get a highly accurate model, several experiments were executed based on the previous techniques that are implemented tool for enabling decision makers and human resources professionals to predict and enhance the performance of their employees. Key Words: HRM, Employee Performance Prediction, Data Mining, KNN, Dataset. 1. INTRODUCTION HRM has a leading role in deciding the competitiveness and effectiveness for better continuation. Organizations consider HRM as “people practices”. Therefore, it becomes the responsibility of the HRM to allocate the best employees to the appropriate job at the right time, train and qualify them, and build evaluation systems to monitor their performance and an attempt to preserve the potential talents of employees. A young yet promising of this kind is data mining. It standouts due to its wide-array of techniques from the different domains such as statistics, artificial intelligence, machine learning,algorithms,databasesystems and visualization. These influences served as groundwork for its applications to business for which the academic institutionisunexceptionallyclassified.Generally,regardless of discipline, data mining has gained popularity due to its tools with potentials to identify trends within data and turn them out into knowledge mostly with predictive attributes that could significantly lead to better and strong bases for decision making with a wide range of Open source tools availability. Data mining is a young and promising field of information and knowledge discovery. It started to be an interest target for information industry, because of the existence of huge data containing large amounts of hidden knowledge. With data mining techniques, such knowledge can be extracted and accessed transforming the databases tasks from storing and retrieval to learning and extractingknowledge.Decision tree is one of the most used techniques, since it creates the decision tree from the data given using simple equations depending mainly on calculation of the gain ratio, which gives automatically some sort of weights to attributes used, and the researcher can implicitly recognize the most effective attributes on the predicted target. Asa resultofthis technique, a decision tree would be built with classification rules generated from it. Previous studies specified several attributes affecting the employee performance. Some of these attributes are personal characteristics, others are educational and finally professional attributeswerealsoconsidered.CheinandChen (2006) used several attributes to predict the employee performance. They specified age, gender, marital status, experience, education, major subjects and school tires as potential factors that might affect the performance. Then they excluded age, gender and marital status, so that no discrimination would exist in the process of personal selection. As a result for their study, they found that employee performance is highly affected by education degree, the school tire, and thejob experience.Most recently, the prevalence of intelligent machine learning algorithms in the field of computer science has led to the development of robust quantitative methodstoderiveinsightsfromindustry data. Supervised machine learning methods—wherein computers learn from analyses of large-scale, historical, labelled datasets—have been shown to garner insights in various fields, like biology and medical sciences, transportation, political science as well asmanyotherfields. Owing to the advancements in information technology, researchers have also studied numerous machine learning approaches to improve the outcomes of human resource (HR) management. A detailed listing of recent studies in using supervised machine learning on employee turnover is described in Table 1, and lists the data included and related machine learning algorithms that were used therein, including decision tree (DT) methods, random forest (RF) methods, gradient boosting trees (GBT) methods, extreme gradient boosting (XGB), logistic regression (LR), support vector machines (SVM), neural networks (NN), linear discriminant analysis (LDA), Naïve Bayes (NB) methods, K - nearest neighbor (KNN), Bayesian networks (BN) and induction rule methods (IND)
2.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1553 2. RELATED WORK In general, Classification contains some steps to complete its process. The first step is called thelearningstep where in the model; predefinedclassesarebuiltbyanalyzing a set of training dataset variables. Each variable is assumed that has a relation and regards to a predefined class. The second step is responsible for estimating the accuracy of model or classifier (validatingthemodel)throughtesting the model using a different dataset. If the classifier’s accuracy was considered acceptable, the model or classifier can be used to apply to new unseen data to give prediction about specific unknown label class and this is considered the third step. Therefore, the model acts as a classifier in the process of decision-making. There are various classification techniques have been used in the prediction process suchas DT, Naïve Bayes, SVM, etc. Human capital is of a high concern for companies’ management where their most interestisinhiringthe highly qualified personnel which are expected to perform highlyas well. Foremost, the Human Resource (HR). Management plays the role of ensuring this by closely adhering to the standards set by the higher management or by some heuristic needs of applicants with distinctive qualifications and potentials. However, oft-quoted factors that may affect employee performance are attributed to educational backgrounds, working experiences, as well as personal qualities. These when converged provide a picture of how well an employee performs his tasks. Assessment of human resource performance is a sensitive task. To avoid partiality, an efficient tool to deal with various data and assist managers to make decisions and plans is of great help. In data mining, historical data such as those attributes that influence performance could be exploited as learning experiences. These can be used to predict future circumstances and rich resource of knowledge and decision supports. In general, data classification is a two-step process. In the first step, which is called the learning step, a model that describes a predetermined set of classes or concepts is built by analyzing a set of training database instances. Each instance is assumed to belong to a predefined class. In the second step, the model is tested using a different data set that is used to estimate the classification accuracy of the model. If the accuracy of the model is considered acceptable, the model can be used to classify future data instances for which the class label is not known. At the end,themodel acts as a classifier in the decision making process. There are several techniques that can be used for classificationsuchas decision tree, Bayesian methods, rule based algorithms, and Neural Networks. 3. IMPLEMENTATION Feature selection is a one of the main concepts of DM and Machine Learning. Where, it is a process of selecting necessary useful variables in a datasettoimprovetheresults of machine learning and make it more accurate. At which, Using too many numbers of variables in a dataset reduce predictive performance. The data set may contain too many features; some of them do not promote the prediction accuracy, and thus make the predictive model excessively complicated. Therefore, unnecessary useless variables must be avoided to make the model efficientlyworks.Deciding which unnecessary variable to avoid can be done by a manual manner using domain knowledge or it can be done automatically. In the section of Business understanding with proper endorsement and approval of some academic administrators, questions as to how the (DM) data mining functionalities are best applied in any Technological Institute has been identified. Recent studies had However, oft-quoted factors that may affectemployeesperformanceareattributedto educational backgrounds, working experiences, as well as personal qualities. These when converged provide a picture of how well an employee performshistasks.Assessmentofhuman resource performance is a sensitive task. To avoid partiality, an efficient tool to deal with various data and assist managers to make decisions and plans is of great help. In data mining, historical data such as those attributes that influence performance could be exploited as learning experiences.
3.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1554 4. CONCLUSION This paper has concentrated on the possibility of building a classification model for predicting the employees’ performance. Applying the DM techniques in the different problem domains in the HRM field is considered as an important and urgent issue. Especially,atthepublicsectorin Egypt. In addition, increasing the horizons of academic and practice research on DM in HR for reaching a government sector with a high performance. This study further outlooks for applications of results to analyzeenhancementprograms for senior employees of any organization and to identify patterns affecting both teacher and student performance using other data miningtechniquessuchasassociationrules. REFERENCES [1] Islam, M. J., Wu, Q. M. J., Ahmadi, M., and Sid-Ahmed, M. A., (2010), "Investigating the Performance of Naive- Bayes Classifiers and K- Nearest Neighbor Classifiers" Journal of Convergence Information Technology Volume 5, Number 2, April 2010. [2] Al-Radaideh, Q.A., Al-Nagi, E., (2012). “Using Data Mining Techniques to Build a Classification Model for Predicting Employees Performance”, International Journal of Advanced Computer Science and Applications, 3(2), pp 144 – 151. [3] S.Yasodha and P. S.Prakash, (2012), "Data Mining Classification Technique for Talent Management using SVM," the International Conference on Computing, Electronics and Electrical Technologies, 2012. [4] Hua Hu, Jing Ye, and Chunlai Chai, (2009), “A Talent Classification Method Based on SVM”, in International Symposium on Intelligent Ubiquitous Computing and Education, Chengdu, China, 2009, pp. 160-163. [5] Kirimi JM, Motur CA (2016), “Application of Data Mining Classification in Employee Performance Prediction”. International Journal of Computer Applications, Volume 146 – No.7, July 2016. [6] Desouki M. S., Al-Daher J (2015),“UsingData Mining Tools to Improve the Performance Appraisal Procedure, HIAST Case”. International Journal of Advanced Information in Arts, Science & Management Vol.2, No.1, February 2015. [7] ZHAO Xin (2008). A Study of Performance Evaluation of HRM: Based on Data mining. International Seminar on Future Information Technology and Management Engineering [8] Yan Huang (2009). Study of College Human Resources Data Mining Based on the SOM Algorithm. 2009 Asia Pacific Conference on Information Processing. [9] ChenXiaofan,and WangFengbin(2010).Application of Data Mining on Enterprise Human Resource Performance Management. 3rdInternational Conference on Information Management, Innovation Managementand Industrial Engineering [10] Honglei Zhang (2009). Fuzzy Evaluation on the Performance of Human Resources Management of Commercial Banks Based on Improved Algorithm. 2009 2nd International Conference on Power Electronics and Intelligent Transportation System.
Download now