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The WEKA data mining software: an update
More than twelve years have elapsed since the first public release of WEKA. In that time, the software has been rewritten entirely from scratch, evolved substantially and now accompanies a text onExpand
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Data mining: practical machine learning tools and techniques, 3rd Edition
Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques inExpand
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Data mining: practical machine learning tools and techniques with Java implementations
1. What's It All About? 2. Input: Concepts, Instances, Attributes 3. Output: Knowledge Representation 4. Algorithms: The Basic Methods 5. Credibility: Evaluating What's Been Learned 6.Expand
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Classifier chains for multi-label classification
The widely known binary relevance method for multi-label classification, which considers each label as an independent binary problem, has often been overlooked in the literature due to the perceivedExpand
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Data mining - practical machine learning tools and techniques, Second Edition
  • I. Witten, Eibe Frank
  • Computer Science
  • The Morgan Kaufmann series in data management…
  • 11 October 1999
Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques inExpand
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Generating Accurate Rule Sets Without Global Optimization
The two dominant schemes for rule-learning, C4.5 and RIPPER, both operate in two stages. First they induce an initial rule set and then they refine it using a rather complex optimization stage thatExpand
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KEA: practical automatic keyphrase extraction
Keyphrases provide semantic metadata that summarize and characterize documents. This paper describes Kea, an algorithm for automatically extracting keyphrases from text. Kea identifies candidateExpand
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Data Mining: Practical Machine Learning Tools and Techniques, 3/E
Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools andExpand
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Weka: Practical machine learning tools and techniques with Java implementations
The Waikato Environment for Knowledge Analysis (Weka) is a comprehensive suite of Java class libraries that implement many state-of-the-art machine learning and data mining algorithms. Weka is freelyExpand
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