Temporal Data Mining via Unsupervised Ensemble Learning
  • Release Date : 15 November 2016
  • Publisher : Elsevier
  • Categories : Computers
  • Pages : 172 pages
  • ISBN 13 : 9780128118412
  • ISBN 10 : 0128118415
Score: 4
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Synopsis : Temporal Data Mining via Unsupervised Ensemble Learning written by Yun Yang, published by Elsevier which was released on 15 November 2016. Download Temporal Data Mining via Unsupervised Ensemble Learning Books now! Available in PDF, EPUB, Mobi Format. 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 knowledge and techniques, along with a rich blend of theory and practice. Furthermore, the book includes illustrations of the proposed approaches based on data and simulation experiments to demonstrate all methodologies, and is a guide to the proper usage of these methods. As there is nothing universal that can solve all problems, it is important to understand the characteristics of both clustering algorithms and the target temporal data so the correct 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 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 tasks Concentrates on temporal data clustering tasks from different perspectives, including major algorithms from clustering algorithms and ensemble learning approaches Presents a rich blend of theory and practice, addressing seminal research ideas and looking at the technology from a practical point-of-view

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