Data Mining With Decision Trees Theory And Applications 2nd Edition is popular PDF and ePub book, written by Oded Z Maimon in 2014-09-03, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Data Mining With Decision Trees Theory And Applications 2nd Edition can be Read Online from any device for your convenience.

Data Mining With Decision Trees Theory And Applications 2nd Edition Book PDF Summary

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:

Detail Book of Data Mining With Decision Trees Theory And Applications 2nd Edition PDF

Data Mining With Decision Trees  Theory And Applications  2nd Edition
  • Author : Oded Z Maimon
  • Release : 03 September 2014
  • Publisher : World Scientific
  • ISBN : 9789814590099
  • Genre : Computers
  • Total Page : 328 pages
  • Language : English
  • PDF File Size : 11,5 Mb

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