WEKA - A Data Mining Tool - by Shareek Ahamed
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The document discusses issues with a system's maintenance, configuration, and installation, leading to a proposal to rewrite it entirely in Java. While Java offers benefits like 'write once, run anywhere', there are concerns regarding its performance in running computationally intensive machine learning algorithms. The document also mentions Weka versions and provides statistics on Java classes and lines of code.
WEKA - A Data Mining Tool - by Shareek Ahamed
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- 3. Photo by Laraine Sanneke on http://labarker.com/NZbirds.html 3
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- 13. 1 3 Problems • Became increasingly difficult to maintain • Configuring made difficult for Developers • Installation was a frustration
- 14. 1 4 Problems • Became increasingly difficult to maintain • Configuring made difficult for Developers • Installation was a frustration Proposed Solution Decided to Rewrite the system, Entirely in JAVA
- 15. 1 5 Performance of JAVA? Implementing Computationally intensive Machine Learning Algorithms….. Questionable??? JAVA “Write Once, Run Anywhere” “Simple Packaging” “Distribution” Performance of JAVA
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- 32. 32 WEKA Version 3.4 WEKA Version 3.6 No. of Java Classes 690 1081 LOC (Lines of Code) 271,447 509,903
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- 37. 37 SQL viewer Bayes network editor
- 38. 38 Scatter plots ROC curves Trees Graphs SQL viewer Bayes network editor
- 39. 39 Scatter plots ROC curves Trees Graphs SQL viewer Bayes network editor
- 40. 40 Statistics Data Mining AI Machine Learning Pattern Recognition
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