Weka for newbies

Apart from the Wiki and the other standard sources of information about Weka, such as the manual, there is a lot of other relevant information available in books and online. This page has been filled mostly thanks to answers on the wekalist.

Important Tips

• Since many people use Weka, lots of (basic & advanced) questions have already been asked on the mailing list. Therefore, using " wekalist" in your preferred search engine might help you get an answer faster than asking the same question again on the list before doing any research on your own first.
• In case you would be really lazy: http://www.google.com/search?hl=en&q=%20wekalist

Java programming help

• http://mindprod.com/jgloss/jcheat.html
• http://mindprod.com/jgloss/jgloss.html
• In French:
  • http://www.jmdoudoux.fr/accueil_java.htm

AI and machine learning courses

• Artificial intelligence
  • https://www.udacity.com/wiki/cs271
• Machine learning
  • https://www.youtube.com/channel/UCXYXSGq6Oz21b43hpW2DCvw
  • https://www.coursera.org/course/ml
  • http://www.cs.cornell.edu/Courses/cs4780/2013fa/#lectures
  • http://shop.oreilly.com/product/0636920025610.do
• Specialized
  • (Probabilistic Graphical Models - PGM: Bayesian and Markov networks) https://www.coursera.org/course/pgm

Introductory books on machine learning

• https://www.amazon.com/Data-Mining-Practical-Techniques-Management/dp/0128042915/ref=sr_1_1?keywords=data+mining+weka&qid=1575607507&s=books&sr=1-1
• http://www.amazon.com/Machine-Learning-Tom-M-Mitchell/dp/0070428077/ref=sr_1_1?ie=UTF8&qid=1394186512&sr=8-1&keywords=tom+mitchell
• http://www.amazon.com/Pattern-Classification-Pt-1-Richard-Duda/dp/0471056693/ref=pd_sim_b_5?ie=UTF8&refRID=1Z8Y81J1WHER2HDRYGP3
• http://www.amazon.com/Artificial-Intelligence-Modern-Approach-Edition/dp/0136042597/ref=pd_sim_b_6?ie=UTF8&refRID=1Z8Y81J1WHER2HDRYGP3
• http://www.amazon.com/Introduction-Machine-Learning-Adaptive-Computation/dp/026201243X/ref=sr_1_1?s=books&ie=UTF8&qid=1394186894&sr=1-1&keywords=Alpaydin-Introduction+to+Machine+Learning
• In French:
  • http://www.amazon.com/Apprentissage-artificiel-algorithmes-Antoine-Cornu%C3%A9jols/dp/2212110200/ref=sr_1_6?ie=UTF8&qid=1394186532&sr=8-6&keywords=cornu%C3%A9jols

Third-party introductions to Weka

• http://www.ibm.com/developerworks/library/os-weka1/
• https://www.youtube.com/watch?v=TF1yh5PKaqI&t=13s
• https://www.youtube.com/playlist?list=PLJbE6j2EG1pZnBhOg3_Rb63WLCprtyJag
• https://www.youtube.com/watch?v=m7kpIBGEdkI

Weka-based development

• Code Examples
  • A Simple Text Classifier in Java with WEKA presents and discuses two little programs as examples of how to integrate WEKA into your Java code for text mining: http://jmgomezhidalgo.blogspot.com.es/2013/04/a-simple-text-classifier-in-java-with.html
  • Language Identification as Text Classification with WEKA explains how to build an automated language guesser for texts as a complete example of a text mining process with WEKA, and in order to demonstrate a more advanced usage of the StringToWordVector class: http://jmgomezhidalgo.blogspot.com.es/2013/05/language-identification-as-text.html
  • Sample Code for Text Indexing with WEKA shows how to index a text dataset using your own Java code and the StringToWordVector filter in WEKA: http://jmgomezhidalgo.blogspot.com.es/2013/06/sample-code-for-text-indexing-with-weka.html
  • Text Mining in WEKA Revisited: Selecting Attributes by Chaining Filters: http://jmgomezhidalgo.blogspot.com.es/2013/02/text-mining-in-weka-revisited-selecting.html

Specific Applications and other tools

• Search Engine / Reranking

  • https://www.lemurproject.org/sifaka.php
  • https://cs.uni-paderborn.de/de/is/research/research-projects/software/weka-lr-a-label-ranking-extension-for-weka/
  • https://github.com/quansun/fantail-ml (ranking prediction, multi-target regression, label ranking and metalearning)

• Extraction, Transformation Loading (ETL)

  • https://community.hitachivantara.com/s/article/data-integration-kettle