SIPINA is known for its decision tree induction algorithms. In fact, the distribution includes two other tools that are little known to the public: REGRESS, which is specialized in multiple linear regression, we described it in one of our tutorials ; and an association rules extraction tool, called simply Association Rule Software (ARS).
In this tutorial, I describe the use of the ARS tool. Its interactivity with Excel spreadsheet is its main advantage. We launch the software from Excel using the “sipina.xla” add-in. We can easily retrieve the rules in the spreadsheet. Then, we can explore them (the mined rules) using the Excel data handling capabilities. The ability to filter and sort rules according to different criteria is a great help in detecting interesting rules. This is a very important aspect because the profusion of rules can quickly confuse the data miner.
Keywords: ARS, association rule software, excel spreadsheet, filtering and sorting rules, interestingness measures
Components: ASSOCIATION RULE SOFTWARE
Tutorial: en_Tanagra_Association_Sipina.pdf
Dataset: market_basket.zip
References:
Tanagra Tutorial, "Association rule learning (slides)", August 2014.
Monday, September 11, 2017
Association rule learning with ARS
About The Author
stella
Nulla sagittis convallis arcu. Sed sed nunc. Curabitur consequat. Quisque metus enim, venenatis fermentum, mollis in, porta et, nibh. Duis vulputate elit in elit. Mauris dictum libero id justo.
Labels:
Association rules,
Sipina
Subscribe to:
Post Comments (Atom)
Find us on Facebook
Find us on Google Plus
Labels
- Association rules (8)
- Clustering (14)
- Data file handling (17)
- Decision tree (21)
- Exploratory Data Analysis (17)
- Feature Construction (6)
- Feature Selection (8)
- PLS Regression (5)
- Python (11)
- Regression analysis (13)
- Sipina (23)
- Software Comparison (49)
- Statistical methods (3)
- Supervised Learning (67)
- Tanagra (13)
- Text Mining (2)



No comments:
Post a Comment