SlideShare ist ein Scribd-Unternehmen logo
1 von 41
340 N 12 th  St, Suite 402 Philadelphia, PA 19107 215.925.2600 [email_address] www.azavea.com/hunchlab Data Mining and Risk Forecasting in  Web-Based Analysis Tools
Agenda ,[object Object],[object Object],[object Object],[object Object]
About Azavea ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Clients & Industries ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
HunchLab was developed, in part, based upon work supported by the National Science Foundation under Grant Nos. IIP-0637589 and IIP-0750507.
The Backstory
How Phila PD uses GIS ,[object Object],Weekly CompStat Meetings Web Crime Analysis
Complainant 911 Operator Radio Dispatcher Police Officer District 48 Desk Daily download & Geocoding Routines Incident Report Completed by Officer Maps distributed Through Intranet,  Printing, CompStat INCT & PARS – main database sources  over 5,000 incidents daily, over 2 million annually CAD Verizon 911 INCT District X District Y District Z PARS
The Context ,[object Object],[object Object],[object Object],[object Object],3 crime analysts
How can software help?
Our goals with software ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Near Repeat Pattern Analysis
Contagious Crime? ,[object Object],[object Object]
Near Repeat Pattern Analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Jerry Ratcliffe Temple University
Near Repeat Pattern Analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Near Repeat Pattern Analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Near Repeat Pattern Analysis
Near Repeat Pattern Analysis
Near Repeat Pattern Analysis
Near Repeat Pattern Analysis
Near Repeat Pattern Analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
Load Forecasting
Improving CompStat ,[object Object],[object Object]
What Do We Mean By Load Forecasting? ,[object Object],[object Object],bit.ly/gorrcrimeforecastingpaper Measure cyclical patterns Identify non-cyclical trend Forecast expected count +
Load Forecasting ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Load Forecasting
Load Forecasting
Load Forecasting
Load Forecasting
Load Forecasting ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Load Forecasting ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Load Forecasting bit.ly/gorrcrimeforecastingpaper Measure cyclical patterns Identify non-cyclical trend Forecast expected count +
How Do We Know It ’s Accurate? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
How Do We Know It ’s Accurate? ,[object Object],Last 30 Days Last Year Load Forecast Error Reduction Philadelphia - Citywide 6.8% 6.5% 4.1% 39% Philadelphia - Divisions 8.1% 8.4% 5.8% 28% Philadelphia - Districts 10.9% 11.7% 9.3% 15% Lincoln, NE  - Citywide 13% 11% 10% 23%
Improving CompStat ,[object Object],[object Object]
Improving CompStat
What’s next?
Contact Information Jeremy Heffner HunchLab Product Manager [email_address] 215.701.7712 www.azavea.com/hunchlab

Weitere ähnliche Inhalte

Ähnlich wie 2011 NIJ Crime Mapping Conference - Data Mining and Risk Forecasting in Web-based Analysis Tools

Crime Risk Forecasting: Near Repeat Pattern Analysis & Load Forecasting
Crime Risk Forecasting: Near Repeat Pattern Analysis & Load ForecastingCrime Risk Forecasting: Near Repeat Pattern Analysis & Load Forecasting
Crime Risk Forecasting: Near Repeat Pattern Analysis & Load ForecastingAzavea
 
Crime Risk Forecasting and Predictive Analytics - Esri UC
Crime Risk Forecasting and Predictive Analytics - Esri UCCrime Risk Forecasting and Predictive Analytics - Esri UC
Crime Risk Forecasting and Predictive Analytics - Esri UCAzavea
 
Analytics-Based Crime Prediction
Analytics-Based Crime PredictionAnalytics-Based Crime Prediction
Analytics-Based Crime PredictionProdapt Solutions
 
Analysis of Crime Big Data using MapReduce
Analysis of Crime Big Data using MapReduceAnalysis of Crime Big Data using MapReduce
Analysis of Crime Big Data using MapReduceKaushik Rajan
 
IRJET- Crime Analysis using Data Mining and Data Analytics
IRJET- Crime Analysis using Data Mining and Data AnalyticsIRJET- Crime Analysis using Data Mining and Data Analytics
IRJET- Crime Analysis using Data Mining and Data AnalyticsIRJET Journal
 
Predictive Modeling for Topographical Analysis of Crime Rate
Predictive Modeling for Topographical Analysis of Crime RatePredictive Modeling for Topographical Analysis of Crime Rate
Predictive Modeling for Topographical Analysis of Crime RateIRJET Journal
 
Machine Learning Approaches for Crime Pattern Detection
Machine Learning Approaches for Crime Pattern DetectionMachine Learning Approaches for Crime Pattern Detection
Machine Learning Approaches for Crime Pattern DetectionAPNIC
 
Crime Early Warning: Automated Data Mining of CAD and RMS
Crime Early Warning: Automated Data Mining of CAD and RMSCrime Early Warning: Automated Data Mining of CAD and RMS
Crime Early Warning: Automated Data Mining of CAD and RMSAzavea
 
IRJET- Cyber Crime Attack Prediction
IRJET- Cyber Crime Attack PredictionIRJET- Cyber Crime Attack Prediction
IRJET- Cyber Crime Attack PredictionIRJET Journal
 
A Survey on Data Mining Techniques for Crime Hotspots Prediction
A Survey on Data Mining Techniques for Crime Hotspots PredictionA Survey on Data Mining Techniques for Crime Hotspots Prediction
A Survey on Data Mining Techniques for Crime Hotspots PredictionIJSRD
 
Time Series Analysis
Time Series AnalysisTime Series Analysis
Time Series AnalysisAmanda Reed
 
What is data-driven government for public safety?
What is data-driven government for public safety?What is data-driven government for public safety?
What is data-driven government for public safety?IBM Analytics
 
CEP: Event-Decision Architecture for PredictiveBusiness, July 2006
CEP: Event-Decision Architecture for PredictiveBusiness, July 2006CEP: Event-Decision Architecture for PredictiveBusiness, July 2006
CEP: Event-Decision Architecture for PredictiveBusiness, July 2006Tim Bass
 
Crime Prediction and Analysis
Crime Prediction and AnalysisCrime Prediction and Analysis
Crime Prediction and AnalysisIRJET Journal
 
9th may net sci presentation (1)
9th may net sci presentation (1)9th may net sci presentation (1)
9th may net sci presentation (1)Rajath Mahesh
 
Predictive Modeling for Topographical Analysis of Crime Rate
Predictive Modeling for Topographical Analysis of Crime RatePredictive Modeling for Topographical Analysis of Crime Rate
Predictive Modeling for Topographical Analysis of Crime RateIRJET Journal
 
Crime Data Analysis and Prediction for city of Los Angeles
Crime Data Analysis and Prediction for city of Los AngelesCrime Data Analysis and Prediction for city of Los Angeles
Crime Data Analysis and Prediction for city of Los AngelesHeta Parekh
 
Crime Dataset Analysis for City of Chicago
Crime Dataset Analysis for City of ChicagoCrime Dataset Analysis for City of Chicago
Crime Dataset Analysis for City of ChicagoStuti Deshpande
 

Ähnlich wie 2011 NIJ Crime Mapping Conference - Data Mining and Risk Forecasting in Web-based Analysis Tools (20)

Crime Risk Forecasting: Near Repeat Pattern Analysis & Load Forecasting
Crime Risk Forecasting: Near Repeat Pattern Analysis & Load ForecastingCrime Risk Forecasting: Near Repeat Pattern Analysis & Load Forecasting
Crime Risk Forecasting: Near Repeat Pattern Analysis & Load Forecasting
 
Crime Risk Forecasting and Predictive Analytics - Esri UC
Crime Risk Forecasting and Predictive Analytics - Esri UCCrime Risk Forecasting and Predictive Analytics - Esri UC
Crime Risk Forecasting and Predictive Analytics - Esri UC
 
Analytics-Based Crime Prediction
Analytics-Based Crime PredictionAnalytics-Based Crime Prediction
Analytics-Based Crime Prediction
 
Analysis of Crime Big Data using MapReduce
Analysis of Crime Big Data using MapReduceAnalysis of Crime Big Data using MapReduce
Analysis of Crime Big Data using MapReduce
 
IRJET- Crime Analysis using Data Mining and Data Analytics
IRJET- Crime Analysis using Data Mining and Data AnalyticsIRJET- Crime Analysis using Data Mining and Data Analytics
IRJET- Crime Analysis using Data Mining and Data Analytics
 
Predictive Modeling for Topographical Analysis of Crime Rate
Predictive Modeling for Topographical Analysis of Crime RatePredictive Modeling for Topographical Analysis of Crime Rate
Predictive Modeling for Topographical Analysis of Crime Rate
 
Machine Learning Approaches for Crime Pattern Detection
Machine Learning Approaches for Crime Pattern DetectionMachine Learning Approaches for Crime Pattern Detection
Machine Learning Approaches for Crime Pattern Detection
 
Crime Early Warning: Automated Data Mining of CAD and RMS
Crime Early Warning: Automated Data Mining of CAD and RMSCrime Early Warning: Automated Data Mining of CAD and RMS
Crime Early Warning: Automated Data Mining of CAD and RMS
 
IRJET- Cyber Crime Attack Prediction
IRJET- Cyber Crime Attack PredictionIRJET- Cyber Crime Attack Prediction
IRJET- Cyber Crime Attack Prediction
 
A Survey on Data Mining Techniques for Crime Hotspots Prediction
A Survey on Data Mining Techniques for Crime Hotspots PredictionA Survey on Data Mining Techniques for Crime Hotspots Prediction
A Survey on Data Mining Techniques for Crime Hotspots Prediction
 
Technical Seminar
Technical SeminarTechnical Seminar
Technical Seminar
 
Time Series Analysis
Time Series AnalysisTime Series Analysis
Time Series Analysis
 
What is data-driven government for public safety?
What is data-driven government for public safety?What is data-driven government for public safety?
What is data-driven government for public safety?
 
CEP: Event-Decision Architecture for PredictiveBusiness, July 2006
CEP: Event-Decision Architecture for PredictiveBusiness, July 2006CEP: Event-Decision Architecture for PredictiveBusiness, July 2006
CEP: Event-Decision Architecture for PredictiveBusiness, July 2006
 
Crime Prediction and Analysis
Crime Prediction and AnalysisCrime Prediction and Analysis
Crime Prediction and Analysis
 
Netsci
NetsciNetsci
Netsci
 
9th may net sci presentation (1)
9th may net sci presentation (1)9th may net sci presentation (1)
9th may net sci presentation (1)
 
Predictive Modeling for Topographical Analysis of Crime Rate
Predictive Modeling for Topographical Analysis of Crime RatePredictive Modeling for Topographical Analysis of Crime Rate
Predictive Modeling for Topographical Analysis of Crime Rate
 
Crime Data Analysis and Prediction for city of Los Angeles
Crime Data Analysis and Prediction for city of Los AngelesCrime Data Analysis and Prediction for city of Los Angeles
Crime Data Analysis and Prediction for city of Los Angeles
 
Crime Dataset Analysis for City of Chicago
Crime Dataset Analysis for City of ChicagoCrime Dataset Analysis for City of Chicago
Crime Dataset Analysis for City of Chicago
 

Mehr von Azavea

Using New Tools to Analyze and Plan Your Urban Forest
Using New Tools to Analyze and Plan Your Urban Forest Using New Tools to Analyze and Plan Your Urban Forest
Using New Tools to Analyze and Plan Your Urban Forest Azavea
 
7 misconceptions about predictive policing webinar
7 misconceptions about predictive policing webinar7 misconceptions about predictive policing webinar
7 misconceptions about predictive policing webinarAzavea
 
Tracking Your Green Infrastructure
Tracking Your Green InfrastructureTracking Your Green Infrastructure
Tracking Your Green InfrastructureAzavea
 
Growing Your Urban Forest: Using the OpenTreeMap Bulk Uploader
Growing Your Urban Forest: Using the OpenTreeMap Bulk UploaderGrowing Your Urban Forest: Using the OpenTreeMap Bulk Uploader
Growing Your Urban Forest: Using the OpenTreeMap Bulk UploaderAzavea
 
Forecasting Space-Time Events - Strata + Hadoop World 2015 San Jose
Forecasting Space-Time Events - Strata + Hadoop World 2015 San JoseForecasting Space-Time Events - Strata + Hadoop World 2015 San Jose
Forecasting Space-Time Events - Strata + Hadoop World 2015 San JoseAzavea
 
November 12, 2014 Webinar: Hackers, Beer Geeks, and Arborly Love - Reaching o...
November 12, 2014 Webinar: Hackers, Beer Geeks, and Arborly Love - Reaching o...November 12, 2014 Webinar: Hackers, Beer Geeks, and Arborly Love - Reaching o...
November 12, 2014 Webinar: Hackers, Beer Geeks, and Arborly Love - Reaching o...Azavea
 
Mobile Citizen Science
Mobile Citizen Science Mobile Citizen Science
Mobile Citizen Science Azavea
 
Getting Started with OpenTreeMap Cloud
Getting Started with OpenTreeMap CloudGetting Started with OpenTreeMap Cloud
Getting Started with OpenTreeMap CloudAzavea
 
HunchLab 2.0 Getting Started
HunchLab 2.0 Getting StartedHunchLab 2.0 Getting Started
HunchLab 2.0 Getting StartedAzavea
 
Is it a Package or a Wrapper? Designing, Documenting, and Distributing a Pyth...
Is it a Package or a Wrapper? Designing, Documenting, and Distributing a Pyth...Is it a Package or a Wrapper? Designing, Documenting, and Distributing a Pyth...
Is it a Package or a Wrapper? Designing, Documenting, and Distributing a Pyth...Azavea
 
Your New Partners: Understanding Civic Hackathons, Why You Should be Involved...
Your New Partners: Understanding Civic Hackathons, Why You Should be Involved...Your New Partners: Understanding Civic Hackathons, Why You Should be Involved...
Your New Partners: Understanding Civic Hackathons, Why You Should be Involved...Azavea
 
HunchLab 2.0 Predictive Missions: Under the Hood
HunchLab 2.0 Predictive Missions: Under the HoodHunchLab 2.0 Predictive Missions: Under the Hood
HunchLab 2.0 Predictive Missions: Under the HoodAzavea
 
Using Open Data and Citizen Science to Promote Citizen Engagement with Green ...
Using Open Data and Citizen Science to Promote Citizen Engagement with Green ...Using Open Data and Citizen Science to Promote Citizen Engagement with Green ...
Using Open Data and Citizen Science to Promote Citizen Engagement with Green ...Azavea
 
HunchLab 2.0 Preview Webinar - Place
HunchLab 2.0 Preview Webinar - PlaceHunchLab 2.0 Preview Webinar - Place
HunchLab 2.0 Preview Webinar - PlaceAzavea
 
Five Technology Trends Every Nonprofit Needs to Know
Five Technology Trends Every Nonprofit Needs to KnowFive Technology Trends Every Nonprofit Needs to Know
Five Technology Trends Every Nonprofit Needs to KnowAzavea
 
PhillyHistory.org - Tracking Metrics for a Digital Project
PhillyHistory.org - Tracking Metrics for a Digital ProjectPhillyHistory.org - Tracking Metrics for a Digital Project
PhillyHistory.org - Tracking Metrics for a Digital ProjectAzavea
 
Fed Geo Day - Applying GeoTrellis at the US Army Corps
Fed Geo Day - Applying GeoTrellis at the US Army CorpsFed Geo Day - Applying GeoTrellis at the US Army Corps
Fed Geo Day - Applying GeoTrellis at the US Army CorpsAzavea
 
Fed Geo Day - GeoTrellis Intro
Fed Geo Day - GeoTrellis IntroFed Geo Day - GeoTrellis Intro
Fed Geo Day - GeoTrellis IntroAzavea
 
Fed Geo Day 2013 - Azavea Intro
Fed Geo Day 2013 - Azavea Intro Fed Geo Day 2013 - Azavea Intro
Fed Geo Day 2013 - Azavea Intro Azavea
 
Modeling Count-based Raster Data with ArcGIS and R
Modeling Count-based Raster Data with ArcGIS and RModeling Count-based Raster Data with ArcGIS and R
Modeling Count-based Raster Data with ArcGIS and RAzavea
 

Mehr von Azavea (20)

Using New Tools to Analyze and Plan Your Urban Forest
Using New Tools to Analyze and Plan Your Urban Forest Using New Tools to Analyze and Plan Your Urban Forest
Using New Tools to Analyze and Plan Your Urban Forest
 
7 misconceptions about predictive policing webinar
7 misconceptions about predictive policing webinar7 misconceptions about predictive policing webinar
7 misconceptions about predictive policing webinar
 
Tracking Your Green Infrastructure
Tracking Your Green InfrastructureTracking Your Green Infrastructure
Tracking Your Green Infrastructure
 
Growing Your Urban Forest: Using the OpenTreeMap Bulk Uploader
Growing Your Urban Forest: Using the OpenTreeMap Bulk UploaderGrowing Your Urban Forest: Using the OpenTreeMap Bulk Uploader
Growing Your Urban Forest: Using the OpenTreeMap Bulk Uploader
 
Forecasting Space-Time Events - Strata + Hadoop World 2015 San Jose
Forecasting Space-Time Events - Strata + Hadoop World 2015 San JoseForecasting Space-Time Events - Strata + Hadoop World 2015 San Jose
Forecasting Space-Time Events - Strata + Hadoop World 2015 San Jose
 
November 12, 2014 Webinar: Hackers, Beer Geeks, and Arborly Love - Reaching o...
November 12, 2014 Webinar: Hackers, Beer Geeks, and Arborly Love - Reaching o...November 12, 2014 Webinar: Hackers, Beer Geeks, and Arborly Love - Reaching o...
November 12, 2014 Webinar: Hackers, Beer Geeks, and Arborly Love - Reaching o...
 
Mobile Citizen Science
Mobile Citizen Science Mobile Citizen Science
Mobile Citizen Science
 
Getting Started with OpenTreeMap Cloud
Getting Started with OpenTreeMap CloudGetting Started with OpenTreeMap Cloud
Getting Started with OpenTreeMap Cloud
 
HunchLab 2.0 Getting Started
HunchLab 2.0 Getting StartedHunchLab 2.0 Getting Started
HunchLab 2.0 Getting Started
 
Is it a Package or a Wrapper? Designing, Documenting, and Distributing a Pyth...
Is it a Package or a Wrapper? Designing, Documenting, and Distributing a Pyth...Is it a Package or a Wrapper? Designing, Documenting, and Distributing a Pyth...
Is it a Package or a Wrapper? Designing, Documenting, and Distributing a Pyth...
 
Your New Partners: Understanding Civic Hackathons, Why You Should be Involved...
Your New Partners: Understanding Civic Hackathons, Why You Should be Involved...Your New Partners: Understanding Civic Hackathons, Why You Should be Involved...
Your New Partners: Understanding Civic Hackathons, Why You Should be Involved...
 
HunchLab 2.0 Predictive Missions: Under the Hood
HunchLab 2.0 Predictive Missions: Under the HoodHunchLab 2.0 Predictive Missions: Under the Hood
HunchLab 2.0 Predictive Missions: Under the Hood
 
Using Open Data and Citizen Science to Promote Citizen Engagement with Green ...
Using Open Data and Citizen Science to Promote Citizen Engagement with Green ...Using Open Data and Citizen Science to Promote Citizen Engagement with Green ...
Using Open Data and Citizen Science to Promote Citizen Engagement with Green ...
 
HunchLab 2.0 Preview Webinar - Place
HunchLab 2.0 Preview Webinar - PlaceHunchLab 2.0 Preview Webinar - Place
HunchLab 2.0 Preview Webinar - Place
 
Five Technology Trends Every Nonprofit Needs to Know
Five Technology Trends Every Nonprofit Needs to KnowFive Technology Trends Every Nonprofit Needs to Know
Five Technology Trends Every Nonprofit Needs to Know
 
PhillyHistory.org - Tracking Metrics for a Digital Project
PhillyHistory.org - Tracking Metrics for a Digital ProjectPhillyHistory.org - Tracking Metrics for a Digital Project
PhillyHistory.org - Tracking Metrics for a Digital Project
 
Fed Geo Day - Applying GeoTrellis at the US Army Corps
Fed Geo Day - Applying GeoTrellis at the US Army CorpsFed Geo Day - Applying GeoTrellis at the US Army Corps
Fed Geo Day - Applying GeoTrellis at the US Army Corps
 
Fed Geo Day - GeoTrellis Intro
Fed Geo Day - GeoTrellis IntroFed Geo Day - GeoTrellis Intro
Fed Geo Day - GeoTrellis Intro
 
Fed Geo Day 2013 - Azavea Intro
Fed Geo Day 2013 - Azavea Intro Fed Geo Day 2013 - Azavea Intro
Fed Geo Day 2013 - Azavea Intro
 
Modeling Count-based Raster Data with ArcGIS and R
Modeling Count-based Raster Data with ArcGIS and RModeling Count-based Raster Data with ArcGIS and R
Modeling Count-based Raster Data with ArcGIS and R
 

Kürzlich hochgeladen

Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEarley Information Science
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024The Digital Insurer
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...gurkirankumar98700
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Igalia
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Scriptwesley chun
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Paola De la Torre
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
Developing An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of BrazilDeveloping An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of BrazilV3cube
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityPrincipled Technologies
 

Kürzlich hochgeladen (20)

Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
Developing An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of BrazilDeveloping An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of Brazil
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 

2011 NIJ Crime Mapping Conference - Data Mining and Risk Forecasting in Web-based Analysis Tools

Hinweis der Redaktion

  1. We make custom map requests, provide data for CompStat and support a Web site that is updated daily to support daily functions of districts.