Knowledge Discovery Practices And Emerging Applications Of Data Mining PDF Download
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Author | : Kumar, A.V. Senthil |
Publisher | : IGI Global |
Total Pages | : 414 |
Release | : 2010-08-31 |
Genre | : Computers |
ISBN | : 160960069X |
Download Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains Book in PDF, ePub and Kindle
Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains introduces the reader to recent research activities in the field of data mining. This book covers association mining, classification, mobile marketing, opinion mining, microarray data mining, internet mining and applications of data mining on biological data, telecommunication and distributed databases, among others, while promoting understanding and implementation of data mining techniques in emerging domains.
Author | : A. Senthil Kumar |
Publisher | : |
Total Pages | : |
Release | : 2011 |
Genre | : |
ISBN | : |
Download Knowledge Discovery Practices and Emerging Applications of Data Mining Book in PDF, ePub and Kindle
"This book introduces the reader to recent research activities in the field of data mining, covering association mining, classification, mobile marketing, opinion mining, microarray data mining, internet mining and applications of data mining on biological data, telecommunication and distributed databases"--Provided by publisher.
Author | : Oded Maimon |
Publisher | : Springer Science & Business Media |
Total Pages | : 1269 |
Release | : 2010-09-10 |
Genre | : Computers |
ISBN | : 0387098232 |
Download Data Mining and Knowledge Discovery Handbook Book in PDF, ePub and Kindle
This book organizes key concepts, theories, standards, methodologies, trends, challenges and applications of data mining and knowledge discovery in databases. It first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. It also gives in-depth descriptions of data mining applications in various interdisciplinary industries.
Author | : Hillol Kargupta |
Publisher | : CRC Press |
Total Pages | : 640 |
Release | : 2008-12-24 |
Genre | : Computers |
ISBN | : 1420085875 |
Download Next Generation of Data Mining Book in PDF, ePub and Kindle
Drawn from the US National Science Foundation's Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation (NGDM 07), Next Generation of Data Mining explores emerging technologies and applications in data mining as well as potential challenges faced by the field.Gathering perspectives from top experts across different di
Author | : Dinh Phung |
Publisher | : Springer |
Total Pages | : 622 |
Release | : 2018-06-19 |
Genre | : Computers |
ISBN | : 3319930370 |
Download Advances in Knowledge Discovery and Data Mining Book in PDF, ePub and Kindle
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 research results and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems and the emerging applications.
Author | : Jake Y. Chen |
Publisher | : CRC Press |
Total Pages | : 736 |
Release | : 2009-09-01 |
Genre | : Computers |
ISBN | : 1420086855 |
Download Biological Data Mining Book in PDF, ePub and Kindle
Like a data-guzzling turbo engine, advanced data mining has been powering post-genome biological studies for two decades. Reflecting this growth, Biological Data Mining presents comprehensive data mining concepts, theories, and applications in current biological and medical research. Each chapter is written by a distinguished team of interdisciplin
Author | : Dinh Phung |
Publisher | : Springer |
Total Pages | : 852 |
Release | : 2018-06-16 |
Genre | : Computers |
ISBN | : 3319930400 |
Download Advances in Knowledge Discovery and Data Mining Book in PDF, ePub and Kindle
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 research results and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems and the emerging applications.
Author | : Hady W. Lauw |
Publisher | : Springer Nature |
Total Pages | : 936 |
Release | : 2020-05-08 |
Genre | : Computers |
ISBN | : 3030474364 |
Download Advances in Knowledge Discovery and Data Mining Book in PDF, ePub and Kindle
The two-volume set LNAI 12084 and 12085 constitutes the thoroughly refereed proceedings of the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, which was due to be held in Singapore, in May 2020. The conference was held virtually due to the COVID-19 pandemic. The 135 full papers presented were carefully reviewed and selected from 628 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: recommender systems; classification; clustering; mining social networks; representation learning and embedding; mining behavioral data; deep learning; feature extraction and selection; human, domain, organizational and social factors in data mining; mining sequential data; mining imbalanced data; association; privacy and security; supervised learning; novel algorithms; mining multi-media/multi-dimensional data; application; mining graph and network data; anomaly detection and analytics; mining spatial, temporal, unstructured and semi-structured data; sentiment analysis; statistical/graphical model; multi-source/distributed/parallel/cloud computing.
Author | : Hady W. Lauw |
Publisher | : Springer Nature |
Total Pages | : 906 |
Release | : 2020-05-08 |
Genre | : Computers |
ISBN | : 3030474267 |
Download Advances in Knowledge Discovery and Data Mining Book in PDF, ePub and Kindle
The two-volume set LNAI 12084 and 12085 constitutes the thoroughly refereed proceedings of the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, which was due to be held in Singapore, in May 2020. The conference was held virtually due to the COVID-19 pandemic. The 135 full papers presented were carefully reviewed and selected from 628 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: recommender systems; classification; clustering; mining social networks; representation learning and embedding; mining behavioral data; deep learning; feature extraction and selection; human, domain, organizational and social factors in data mining; mining sequential data; mining imbalanced data; association; privacy and security; supervised learning; novel algorithms; mining multi-media/multi-dimensional data; application; mining graph and network data; anomaly detection and analytics; mining spatial, temporal, unstructured and semi-structured data; sentiment analysis; statistical/graphical model; multi-source/distributed/parallel/cloud computing.
Author | : Longbing Cao |
Publisher | : Springer Science & Business Media |
Total Pages | : 310 |
Release | : 2008-10-03 |
Genre | : Computers |
ISBN | : 0387794204 |
Download Data Mining for Business Applications Book in PDF, ePub and Kindle
Data Mining for Business Applications presents the state-of-the-art research and development outcomes on methodologies, techniques, approaches and successful applications in the area. The contributions mark a paradigm shift from “data-centered pattern mining” to “domain driven actionable knowledge discovery” for next-generation KDD research and applications. The contents identify how KDD techniques can better contribute to critical domain problems in theory and practice, and strengthen business intelligence in complex enterprise applications. The volume also explores challenges and directions for future research and development in the dialogue between academia and business.