Temporal Data Mining Via Unsupervised Ensemble Learning

Written By Yun Yang
Temporal Data Mining Via Unsupervised Ensemble Learning
  • Publsiher : Elsevier
  • Release : 15 December 2016
  • ISBN : 9780128116548
  • Pages : 196 pages
  • Rating : 4/5 from 21 reviews
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Read or download book entitled Temporal Data Mining Via Unsupervised Ensemble Learning written by Yun Yang which was release on 15 December 2016, this book published by Elsevier. Available in PDF, EPUB and Kindle Format. Book excerpt: "Temporal Data Mining via Unsupervised Ensemble Learning" provides the principle knowledge of temporal data mining in association with unsupervised ensemble learning, and the fundamental problems of temporal data clustering from different perspectives. By providing three proposed ensemble approaches of temporal data clustering, this book is further shaped with a practical focus of fundamental knowledge and techniques, and contains a rich blend of theory and practice. Furthermore, this book provides illustrations of the proposed approaches based on data and simulation experiments to demonstrate all methodology and guide to proper usage of all methods. There is nothing universal that can solve all problems and it is important to understand the characteristics of both clustering algorithms and the target temporal data, so that the right approach can be selected for a given clustering problem. Scientists, researchers, and data analysts working with machine learning and data mining will benefit from this innovative book as well as will undergraduate and graduate students following courses in computer science, engineering and statistics. Includes fundamental concepts and knowledge, covering all key tasks and techniques of temporal data mining i.e., temporal data representations, similarity measure, and mining tasksConcentrates on temporal data clustering tasks from different perspectives, including major algorithms from clustering algorithms and ensemble learning approachesPresents a rich blend of theory and practice, addressing seminal research ideas and also looking at the technology from a practical point of view

Temporal Data Mining Via Unsupervised Ensemble Learning

Temporal Data Mining Via Unsupervised Ensemble Learning
  • Author : Yun Yang
  • Publisher : Elsevier
  • Release Date : 2016-12-15
  • Total pages : 196
  • ISBN : 9780128116548
GET BOOK

Summary : "Temporal Data Mining via Unsupervised Ensemble Learning" provides the principle knowledge of temporal data mining in association with unsupervised ensemble learning, and the fundamental problems of temporal data clustering from different perspectives. By providing three proposed ensemble approaches of temporal data clustering, this book is further shaped with a practical ...

Temporal Data Mining via Unsupervised Ensemble Learning

Temporal Data Mining via Unsupervised Ensemble Learning
  • Author : Yun Yang
  • Publisher : Elsevier
  • Release Date : 2016-11-15
  • Total pages : 172
  • ISBN : 9780128116548
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Summary : Temporal Data Mining via Unsupervised Ensemble Learning provides the principle knowledge of temporal data mining in association with unsupervised ensemble learning and the fundamental problems of temporal data clustering from different perspectives. By providing three proposed ensemble approaches of temporal data clustering, this book presents a practical focus of fundamental ...

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  • Publisher : Springer
  • Release Date : 2018-05-20
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  • ISBN : 9780128116548
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Summary : This book results from the workshop on Supervised and Unsupervised Ensemble Methods and their Applications (briefly, SUEMA) in June 2007 in Girona, Spain. This workshop was held alongside the 3rd Iberian Conference on Pattern Recognition and Image Analysis....

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  • ISBN : 9780128116548
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