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- Temporal Data Mining via Unsupervised Ensemble Learning
- Author : Yun Yang
- Publsiher : Elsevier
- Release : 15 November 2016
- ISBN : 0128118415
- Pages : 172 pages
- Rating : /5 from reviews
GET THIS BOOKTemporal Data Mining via Unsupervised Ensemble Learning
Download or read book entitled Temporal Data Mining via Unsupervised Ensemble Learning by author: Yun Yang which was release on 15 November 2016 and published by Elsevier with total page 172 pages . This book available in PDF, EPUB and Kindle 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
- Author : Yun Yang
- Publisher : Elsevier
- Release Date : 2016-11-15
- Total pages : 172
- ISBN : 0128118415
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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 ...
- Author : Abdelmalek Amine,Malek Mouhoub,Otmane Ait Mohamed,Bachir Djebbar
- Publisher : Springer
- Release Date : 2018-05-20
- Total pages : 670
- ISBN : 0128118415
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Summary : This book constitutes the refereed proceedings of the 6th IFIP TC 5 International Conference on Computational Intelligence and Its Applications, CIIA 2018, held in Oran, Algeria, in May 2018. The 56 full papers presented were carefully reviewed and selected from 202 submissions. They are organized in the following topical sections: data mining and information retrieval; ...
- Author : Steven Simske
- Publisher : Morgan Kaufmann
- Release Date : 2019-03-10
- Total pages : 340
- ISBN : 0128118415
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Summary : Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis presents an exhaustive set of patterns for data science to use on any machine learning based data analysis task. The book virtually ensures that at least one pattern will lead to better overall system behavior than the use of traditional analytics ...
- Author : Miguel Felix Mata-Rivera,Roberto Zagal-Flores,Cristian Barría-Huidobro
- Publisher : Springer Nature
- Release Date : 2019-12-06
- Total pages : 376
- ISBN : 0128118415
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Summary : This book constitutes the thoroughly refereed proceedings of the 8th International Congress on Telematics and Computing, WITCOM 2019, held in Merida, Mexico, in November 2019. The 31 full papers presented in this volume were carefully reviewed and selected from 78 submissions. The papers are organized in topical sections: GIS & climate change; telematics & electronics; artificial ...
- Author : Simon Fong
- Publisher : Springer Nature
- Release Date : 2021-04-18
- Total pages : 212
- ISBN : 0128118415
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Summary : Read online ICT Analysis and Applications written by Simon Fong, published by Springer Nature which was released on . Download full ICT Analysis and Applications Books now! Available in PDF, ePub and Kindle....
- Author : Zhi-Hua Zhou,Hang Li,Qiang Yang
- Publisher : Springer
- Release Date : 2007-06-21
- Total pages : 1161
- ISBN : 0128118415
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Summary : This book constitutes the refereed proceedings of the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2007, held in Nanjing, China, May 2007. It covers new ideas, original research results and practical development experiences from all KDD-related areas including data mining, machine learning, data warehousing, data visualization, automatic scientific discovery, ...
- Author : Dinh Phung,Vincent S. Tseng,Geoffrey I. Webb,Bao Ho,Mohadeseh Ganji,Lida Rashidi
- Publisher : Springer
- Release Date : 2018-06-16
- Total pages : 835
- ISBN : 0128118415
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Summary : This three-volume set, LNAI 10937, 10938, and 10939, constitutes the thoroughly refereed proceedings of the 22nd Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2018, held in Melbourne, VIC, Australia, in June 2018. The 164 full papers were carefully reviewed and selected from 592 submissions. The volumes present papers focusing on new ideas, original ...
- Author : Jinho Kim,Kyuseok Shim,Longbing Cao,Jae-Gil Lee,Xuemin Lin,Yang-Sae Moon
- Publisher : Springer
- Release Date : 2017-04-25
- Total pages : 841
- ISBN : 0128118415
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Summary : This two-volume set, LNAI 10234 and 10235, constitutes the thoroughly refereed proceedings of the 21st Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2017, held in Jeju, South Korea, in May 2017. The 129 full papers were carefully reviewed and selected from 458 submissions. They are organized in topical sections named: classification and ...
- Author : Anonim
- Publisher : Unknown
- Release Date : 2003
- Total pages : 212
- ISBN : 0128118415
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Summary : Read online Advances in Knowledge Discovery and Data Mining written by , published by which was released on 2003. Download full Advances in Knowledge Discovery and Data Mining Books now! Available in PDF, ePub and Kindle....
- Author : Jianxin Li,Sen Wang,Shaowen Qin,Xue Li,Shuliang Wang
- Publisher : Springer Nature
- Release Date : 2020-01-15
- Total pages : 893
- ISBN : 0128118415
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Summary : This book constitutes the proceedings of the 15th International Conference on Advanced Data Mining and Applications, ADMA 2019, held in Dalian, China in November 2019. The 39 full papers presented together with 26 short papers and 2 demo papers were carefully reviewed and selected from 170 submissions. The papers were organized in topical sections named: Data ...
- Author : Tu Bao Ho,David Cheung
- Publisher : Springer Science & Business Media
- Release Date : 2005-05-10
- Total pages : 864
- ISBN : 0128118415
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Summary : This book constitutes the refereed proceedings of the 9th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2005, held in Hanoi, Vietnam, in May 2005. The 48 revised full papers and 49 revised short papers presented together with abstracts or extended abstracts of 3 invited talks were carefully reviewed and selected from 327 submissions. The ...
- Author : Hady W. Lauw
- Publisher : Springer Nature
- Release Date : 2021-04-18
- Total pages : 212
- ISBN : 0128118415
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Summary : Read online Advances in Knowledge Discovery and Data Mining written by Hady W. Lauw, published by Springer Nature which was released on . Download full Advances in Knowledge Discovery and Data Mining Books now! Available in PDF, ePub and Kindle....
- Author : Michelangelo Ceci,Jaakko Hollmén,Ljupčo Todorovski,Celine Vens,Sašo Džeroski
- Publisher : Springer
- Release Date : 2017-12-29
- Total pages : 866
- ISBN : 0128118415
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Summary : The three volume proceedings LNAI 10534 – 10536 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2017, held in Skopje, Macedonia, in September 2017. The total of 101 regular papers presented in part I and part II was carefully reviewed and selected from 364 submissions; there are 47 ...
- Author : Qiang Yang,Zhi-Hua Zhou,Zhiguo Gong,Min-Ling Zhang,Sheng-Jun Huang
- Publisher : Springer
- Release Date : 2019-05-20
- Total pages : 627
- ISBN : 0128118415
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Summary : The three-volume set LNAI 11439, 11440, and 11441 constitutes the thoroughly refereed proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed and selected from 542 submissions. The papers present new ideas, original research results, and practical development ...
- Author : Christine Preisach,Hans Burkhardt,Lars Schmidt-Thieme,Reinhold Decker
- Publisher : Springer Science & Business Media
- Release Date : 2008-04-13
- Total pages : 719
- ISBN : 0128118415
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Summary : Data analysis and machine learning are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medical science, bioinformatics and business intelligence. This volume ...