Proceedings of the Third International Conference on Knowledge Discovery and Data Mining
Author: David Heckerman
Publisher:
Published: 1997
Total Pages: 346
ISBN-13:
DOWNLOAD EBOOKPosts
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Author: Inderjit S. Dhillon
Publisher:
Published: 2013
Total Pages: 1534
ISBN-13: 9781450321747
DOWNLOAD EBOOKData Mining III
Author: A. Zanasi
Publisher: WIT Press (UK)
Published: 2002
Total Pages: 1042
ISBN-13:
DOWNLOAD EBOOKData mining brings together techniques from machine learning, pattern recognition, statistics, databases, linguistics and visualization in order to extract information from large databases. Originally principally concerned with behavioural applications, such as the understanding of customer behaviour, its scope has now been widened with the introduction of Text Mining techniques. Areas now encompassed by data mining include military, market, and competitive intelligence applications, taxonomies and internet search techniques, and knowledge management applications.
Data Mining and Knowledge Discovery Handbook
Author: Oded Maimon
Publisher: Springer Science & Business Media
Published: 2006-05-28
Total Pages: 1378
ISBN-13: 038725465X
DOWNLOAD EBOOKData Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This book first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security. Data Mining and Knowledge Discovery Handbook is designed for research scientists and graduate-level students in computer science and engineering. This book is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.
Kdd'13
Author: Robert Grossman
Publisher:
Published: 2013-08-11
Total Pages:
ISBN-13: 9781450325721
DOWNLOAD EBOOKKDD'13: The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining Aug 11, 2013-Aug 14, 2013 Chicago, USA. You can view more information about this proceeding and all of ACM�s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.
Data Mining: Foundations and Practice
Author: Tsau Young Lin
Publisher: Springer Science & Business Media
Published: 2008-08-20
Total Pages: 562
ISBN-13: 354078487X
DOWNLOAD EBOOKThe IEEE ICDM 2004 workshop on the Foundation of Data Mining and the IEEE ICDM 2005 workshop on the Foundation of Semantic Oriented Data and Web Mining focused on topics ranging from the foundations of data mining to new data mining paradigms. The workshops brought together both data mining researchers and practitioners to discuss these two topics while seeking solutions to long standing data mining problems and stimul- ing new data mining research directions. We feel that the papers presented at these workshops may encourage the study of data mining as a scienti?c ?eld and spark new communications and collaborations between researchers and practitioners. Toexpressthevisionsforgedintheworkshopstoawiderangeofdatam- ing researchers and practitioners and foster active participation in the study of foundations of data mining, we edited this volume by involving extended and updated versions of selected papers presented at those workshops as well as some other relevant contributions. The content of this book includes st- ies of foundations of data mining from theoretical, practical, algorithmical, and managerial perspectives. The following is a brief summary of the papers contained in this book.
Relational Data Mining
Author: Saso Dzeroski
Publisher: Springer Science & Business Media
Published: 2001-08
Total Pages: 422
ISBN-13: 9783540422891
DOWNLOAD EBOOKAs the first book devoted to relational data mining, this coherently written multi-author monograph provides a thorough introduction and systematic overview of the area. The first part introduces the reader to the basics and principles of classical knowledge discovery in databases and inductive logic programming; subsequent chapters by leading experts assess the techniques in relational data mining in a principled and comprehensive way; finally, three chapters deal with advanced applications in various fields and refer the reader to resources for relational data mining. This book will become a valuable source of reference for R&D professionals active in relational data mining. Students as well as IT professionals and ambitioned practitioners interested in learning about relational data mining will appreciate the book as a useful text and gentle introduction to this exciting new field.
Proceedings of Third International Conference on Computing, Communications, and Cyber-Security
Author: Pradeep Kumar Singh
Publisher: Springer Nature
Published: 2022-07-02
Total Pages: 906
ISBN-13: 9811911428
DOWNLOAD EBOOKThis book features selected research papers presented at the Third International Conference on Computing, Communications, and Cyber-Security (IC4S 2021), organized in Krishna Engineering College (KEC), Ghaziabad, India, along with Academic Associates; Southern Federal University, Russia; IAC Educational, India; and ITS Mohan Nagar, Ghaziabad, India, during October 30–31, 2021. It includes innovative work from researchers, leading innovators, and professionals in the area of communication and network technologies, advanced computing technologies, data analytics and intelligent learning, the latest electrical and electronics trends, and security and privacy issues.
ECML 2000
Author: Ramon Lopez de Mantaras
Publisher: Springer Science & Business Media
Published: 2000-05-17
Total Pages: 469
ISBN-13: 3540676023
DOWNLOAD EBOOKThis book constitutes the refereed proceedings of the 11th European Conference on Machine Learning, ECML 2000, held in Barcelona, Catalonia, Spain, in May/June 2000. The 20 long papers and 23 short papers presented together with 2 invited contributions were carefully reviewed and selected from 100 submissions. All current issues in machine learning as well as advanced applications in various areas are addressed.
