TBD: http://dmpe.github.io/PapersAndArticles/

1. Discovering
Data Science Design Patterns
with Examples from R and Python
Dmitrij Petrov
Autumn 2017
30/11/2017 1Dmitrij Petrov - Master Thesis Presentation - Autumn 2017
Outlining Master Thesis

2. Motivation
• Design patterns capture best solutions to recurring issues in
• Architecture
• Started the Pattern Language Movement
• Object-Oriented Programming
• Seminal work for software analysis, design and implementation
• Cloud Computing, Database Modelling, etc.
• Data Science
30/11/2017

3. Research Questions
• RQ1: What exactly does software ecosystem, data science and design
pattern mean?
• RQ2: Which data science-oriented design patterns can be recognized?
• RQ3: What are the specific FOSS R and Python tools that can be used for
solving common data mining problems?
30/11/2017 3Dmitrij Petrov - Master Thesis Presentation - Autumn 2017

4. Methodology – 3D2P framework
Dmitrij Petrov - Master Thesis Presentation - Autumn 2017
Pattern
prospecting
Pattern mining Pattern writing
- Literature Sources
- General Inductive Approach &
Open/Axial Coding
- Discovery of patterns
(i.e. best practises and
their relationships)
Relevant works of: Thomas (‘06), Inventado & Scupelli (‘15), Meszaros & Doble (‘96)
- Follow PW guidelines for
their documentation

5. A Pattern Example – “Build Me Dataset”
“Build Me Dataset”
Dmitrij Petrov - Master Thesis Presentation - Autumn 2017
1. Pattern Name & Sketch
2. Context: you want to process data from multiple data sources/formats
3. Problem: extracting/storing data in a common data structure
4. Solution: “table”  “data frame”
5. Consequences: can be very simple but also slow
6. Known uses: modelling, visualization…
7. Examples: from R & Python ecosystem
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6. Expected Outcomes
1. Aim to formulate Data Science design patterns
2. Data Science R and Python Toolkit Matrix
• A holistic map of tools can simplify knowledge discovery process
30/11/2017 6Dmitrij Petrov - Master Thesis Presentation - Autumn 2017