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WEKA

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Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code.

4.13333
   
  0 reviews  |  36 users  |  535,883 lines of code  |  4 current contributors  |  Analyzed 6 days ago
  java_data_mining framework association_rules clustering regression api business-intelligence knowledge_discovery java algorithms data machine_learning 13 more...
 
 

RapidMiner (YALE): Java Data Mining

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RapidMiner (formerly YALE) is the most comprehensive open-source software for intelligent data analysis, data mining, knowledge discovery, machine learning, predictive analytics, forecasting, and analytics in business intelligence (BI). RapidMiner provides more than 400 data mining operators, a ... [More] graphical user interface (GUI), an online tutorial with hands-on data mining applications, a comprehensive PDF tutorial, many visualization schemes for data sets and data mining results, many different learning and meta-learning schemes ranging from decision tree and rule learners to neural networks, SVMs, ensemble methods, etc. RapidMiner is implemented in Java and available under GPL (GNU General Public License) as well as under a developer license (OEM license) for closed-source developers [Less]

5.0
 
  0 reviews  |  17 users  |  534,895 lines of code  |  1 current contributor  |  Analyzed over 2 years ago
  knowledge_discovery algorithms data tool tools api science machine_learning framework java_data_mining intelligent_data_analysis education 12 more...
 
 
 
 

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