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[Lior Rokach ,Oded Maimon]Data Mining With Decision Trees Theory and Applications (2nd Edition)(pdf){Zzzzz}

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Description

 							
  
  
  
  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, Learning with Uncertain and Imbalanced Data, Using Decision Trees beyond Classification
Tasks, Privacy Preserving Decision Tree Learning, Lessons Learned from Comparative Studies, and Learning Decision Trees
for Big Data. A walk-through guide to existing open-source data mining software is also included in this edition.
 

  This book invites readers to explore the many benefits in data mining that decision trees offer:
  
  
Self-explanatory and easy to follow when compacted
   Able to handle a variety of input data: nominal, numeric and
textual
   Scales well to big data
   Able to process datasets that may have errors or missing values
  
High predictive performance for a relatively small computational effort
   Available in many open source data
mining packages over a variety of platforms
   Useful for various tasks, such as classification, regression,
clustering and feature selection
  
   Readership: Researchers, graduate and undergraduate students in
information systems, engineering, computer science, statistics and management.
  
  Publisher: World Scientific Publishing Company; 2 edition (January 4, 2015)
  Language:
English
  ISBN-10: 981459007X
  ISBN-13: 978-9814590075
  
  Editorial Reviews
  About the Author
  Lior Rokach is an Associate
Professor of Information Systems and Software Engineering at Ben—Gurion University of the Negev. Dr Rokach is a
recognized expert in intelligent information systems and has held several leading positions in this field. His main
areas of interest are Machine Learning, Information Security, Recommender Systems and Information Retrieval. Dr Rokach
is the author of over 100 peer reviewed papers in leading journals conference proceedings, patents, and book chapters.
In addition, he has also authored six books in the field of data mining.
  
  Professor Oded Maimon from Tel
Aviv University, previously at MIT, is also the Oracle chair professor. His research interests are in data mining and
knowledge discovery and robotics. He has published over 300 papers and ten books. Currently he is exploring new concepts
of core data mining methods, as well as investigating artificial and biological data.  						

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