Rough – Granular Computing in Knowledge Discovery and Data Mining - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Rough – Granular Computing in Knowledge Discovery and Data Mining write by J. Stepaniuk. This book was released on 2009-01-29. Rough – Granular Computing in Knowledge Discovery and Data Mining available in PDF, EPUB and Kindle. This book covers methods based on a combination of granular computing, rough sets, and knowledge discovery in data mining (KDD). The discussion of KDD foundations based on the rough set approach and granular computing feature illustrative applications.
Rough Set Theory and Granular Computing
Rough Set Theory and Granular Computing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Rough Set Theory and Granular Computing write by Masahiro Inuiguchi. This book was released on 2003-04-22. Rough Set Theory and Granular Computing available in PDF, EPUB and Kindle. This monograph presents novel approaches and new results in fundamentals and applications related to rough sets and granular computing. It includes the application of rough sets to real world problems, such as data mining, decision support and sensor fusion. The relationship of rough sets to other important methods of data analysis – Bayes theorem, neurocomputing and pattern recognition is thoroughly examined. Another issue is the rough set based data analysis, including the study of decision making in conflict situations. Recent engineering applications of rough set theory are given, including a processor architecture organization for fast implementation of basic rough set operations and results concerning advanced image processing for unmanned aerial vehicles. New emerging areas of study and applications are presented as well as a wide spectrum of on-going research, which makes the book valuable to all interested in the field of rough set theory and granular computing.
Methodologies for Knowledge Discovery and Data Mining
Methodologies for Knowledge Discovery and Data Mining - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Methodologies for Knowledge Discovery and Data Mining write by Ning Zhong. This book was released on 1999-04-14. Methodologies for Knowledge Discovery and Data Mining available in PDF, EPUB and Kindle. This book constitutes the refereed proceedings of the Third Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD '99, held in Beijing, China, in April 1999. The 29 revised full papers presented together with 37 short papers were carefully selected from a total of 158 submissions. The book is divided into sections on emerging KDD technology; association rules; feature selection and generation; mining in semi-unstructured data; interestingness, surprisingness, and exceptions; rough sets, fuzzy logic, and neural networks; induction, classification, and clustering; visualization; causal models and graph-based methods; agent-based and distributed data mining; and advanced topics and new methodologies.
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Rough Sets, Fuzzy Sets, Data Mining and Granular Computing write by Sergei O. Kuznetsov. This book was released on 2011-06-14. Rough Sets, Fuzzy Sets, Data Mining and Granular Computing available in PDF, EPUB and Kindle. This book constitutes the refereed proceedings of the 13th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2011, held in Moscow, Russia in June 2011. The 49 revised full papers presented together with 5 invited and 2 tutorial papers were carefully reviewed and selected from a total of 83 submissions. The papers are organized in topical sections on rough sets and approximations, coverings and granules, fuzzy set models, fuzzy set applications, compound values, feature seletion and reduction, clusters and concepts, rules and trees, image processing, and interactions and visualization.
Data Mining, Rough Sets and Granular Computing
Data Mining, Rough Sets and Granular Computing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Mining, Rough Sets and Granular Computing write by Tsau Young Lin. This book was released on 2013-11-11. Data Mining, Rough Sets and Granular Computing available in PDF, EPUB and Kindle. During the past few years, data mining has grown rapidly in visibility and importance within information processing and decision analysis. This is par ticularly true in the realm of e-commerce, where data mining is moving from a "nice-to-have" to a "must-have" status. In a different though related context, a new computing methodology called granular computing is emerging as a powerful tool for the conception, analysis and design of information/intelligent systems. In essence, data mining deals with summarization of information which is resident in large data sets, while granular computing plays a key role in the summarization process by draw ing together points (objects) which are related through similarity, proximity or functionality. In this perspective, granular computing has a position of centrality in data mining. Another methodology which has high relevance to data mining and plays a central role in this volume is that of rough set theory. Basically, rough set theory may be viewed as a branch of granular computing. However, its applications to data mining have predated that of granular computing.
