relational knowledge discovery

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Relational Knowledge Discovery

Author : M. E. Müller
ISBN : 9780521190213
Genre : Computers
File Size : 74. 93 MB
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Introductory textbook presenting relational methods in machine learning.

Knowledge Discovery In Databases Pkdd 2007

Author : Joost N. Kok
ISBN : 9783540749752
Genre : Computers
File Size : 88. 32 MB
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This book constitutes the refereed proceedings of the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2007, held in Warsaw, Poland, co-located with ECML 2007, the 18th European Conference on Machine Learning. The 28 revised full papers and 35 revised short papers present original results on leading-edge subjects of knowledge discovery from conventional and complex data and address all current issues in the area.

Principles Of Data Mining And Knowledge Discovery

Author : Djamel A. Zighed
ISBN : 354041066X
Genre : Computers
File Size : 49. 3 MB
Format : PDF, ePub
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Advances In Knowledge Discovery And Data Mining

Author : Tu Bao Ho
ISBN : 9783540260769
Genre : Computers
File Size : 30. 94 MB
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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 papers are organized in topical sections on theoretical foundations, association rules, biomedical domains, classification and ranking, clustering, dynamic data mining, graphical model discovery, high dimensional data, integration of data warehousing, knowledge management, machine learning, novel algorithms, spatial data, temporal data, and text and Web data mining.

Advances In Knowledge Discovery And Data Mining

Author : Jian Pei
ISBN : 9783642374562
Genre : Computers
File Size : 65. 19 MB
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The two-volume set LNAI 7818 + LNAI 7819 constitutes the refereed proceedings of the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2013, held in Gold Coast, Australia, in April 2013. The total of 98 papers presented in these proceedings was carefully reviewed and selected from 363 submissions. They cover the general fields of data mining and KDD extensively, including pattern mining, classification, graph mining, applications, machine learning, feature selection and dimensionality reduction, multiple information sources mining, social networks, clustering, text mining, text classification, imbalanced data, privacy-preserving data mining, recommendation, multimedia data mining, stream data mining, data preprocessing and representation.

Principles Of Data Mining And Knowledge Discovery

Author : Jan Komorowski
ISBN : 3540632239
Genre : Business & Economics
File Size : 46. 31 MB
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This book constitutes the refereed proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery, PKDD '97, held in Trondheim, Norway, in June 1997. The volume presents a total of 38 revised full papers together with abstracts of one invited talk and four tutorials. Among the topics covered are data and knowledge representation, statistical and probabilistic methods, logic-based approaches, man-machine interaction aspects, AI contributions, high performance computing support, machine learning, automated scientific discovery, quality assessment, and applications.

Advances In Knowledge Discovery And Data Mining

Author : Zhi-Hua Zhou
ISBN : 9783540717003
Genre : Computers
File Size : 25. 52 MB
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This book constitutes the refereed proceedings of the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2007, held in Nanjing, China in May 2007.The 34 revised full papers and 92 revised short papers presented together with 4 keynote talks or extended abstracts thereof were carefully reviewed and selected from 730 submissions. The papers are devoted to new ideas, original research results and practical development experiences from all KDD-related areas including data mining, machine learning, databases, statistics, data warehousing, data visualization, automatic scientific discovery, knowledge acquisition and knowledge-based systems.

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