Data Mining with Decision Trees - Theory and Applications

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Abstract

Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining; it is the science of exploring large and complex bodies of data in order to discover useful patterns. Decision tree learning continues to evolve over time. Existing methods are constantly being improved and new methods introduced. This 2nd Edition is dedicated entirely to the field of decision trees in data mining; to cover all aspects of this important technique, as well as improved or new methods and techniques developed after the publication of our first edition. In this new edition, all chapters have been revised and new topics brought in. New topics include Cost-Sensitive Active Learning,…

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1,289
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FWCI
9.25
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100%
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Authors

2

Topics & keywords

Keywords
  • Computer science
  • Decision tree
  • Variety (cybernetics)
  • Data science
  • Field (mathematics)
  • Machine learning
  • Knowledge extraction
  • Big data
UN Sustainable Development Goals
  • Peace, Justice and strong institutions
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