Tag: Mining

Free Download Semantics, Web and Mining: Joint International Workshops, EWMF 2005 and KDO 2005, Porto, Portugal, October 3-7, 2005, Revised Selected Papers By Ricardo Baeza-Yates, Barbara Poblete (auth.), Markus Ackermann, Bettina Berendt, Marko Grobelnik, Andreas Hotho, Dunja Mladenič, Giovanni Semeraro, Myra Spiliopoulou, Gerd Stumme, Vojtěch Svátek, Maarten van Someren (eds.)
2006 | 196 Pages | ISBN: 3540476970 | PDF | 4 MB
Finding knowledge – or meaning – in data is the goal of every knowledge d- covery e?ort. Subsequent goals and questions regarding this knowledge di?er amongknowledgediscovery(KD) projectsandapproaches. Onecentralquestion is whether and to what extent the meaning extracted from the data is expressed in a formal way that allows not only humans but also machines to understand and re-use it, i. e. , whether the semantics are formal semantics. Conversely, the input to KD processes di?ers between KD projects and approaches. One central questioniswhetherthebackgroundknowledge,businessunderstanding,etc. that the analyst employs to improve the results of KD is a set of natural-language statements, a theory in a formal language, or somewhere in between. Also, the data that are being mined can be more or less structured and/or accompanied by formal semantics. These questions must be asked in every KD e?ort. Nowhere may they be more pertinent, however, than in KD from Web data ("Web mining"). This is due especially to the vast amounts and heterogeneity of data and ba- ground knowledge available for Web mining (content, link structure, and – age), and to the re-use of background knowledge and KD results over the Web as a global knowledge repository and activity space. In addition, the (Sem- tic) Web can serve as a publishing space for the results of knowledge discovery from other resources, especially if the whole process is underpinned by common ontologies.

Free Download Constraint-Based Mining and Inductive Databases: European Workshop on Inductive Databases and Constraint Based Mining, Hinterzarten, Germany, March 11-13, 2004, Revised Selected Papers By Roberto J. Bayardo (auth.), Jean-François Boulicaut, Luc De Raedt, Heikki Mannila (eds.)
2006 | 404 Pages | ISBN: 3540313311 | PDF | 5 MB
The 18 articles in this state-of-the-art survey present the latest results in inductive querying and constraint-based data mining and also identify future directions of this newly emerging field lying at the intersection of data mining and database research. The papers address topical sections on foundations of inductive database frameworks, optimizing inductive queries on local patterns, optimizing inductive queries on global patterns, and applications of inductive querying techniques.

Free Download Big Data, Data Mining and Data Science
by George Dimitoglou, Leonidas Deligiannidis, Hamid R. Arabnia
English | 2025 | ISBN: 311134407X | 350 pages | True PDF EPUB | 69.65 MB

Free Download Human Systems Integration for Mining Automation
English | 2025 | ISBN: 1032447095 | 152 Pages | PDF EPUB (True) | 17 MB
Human Systems Integration for Mining Automation is the professional’s guide to understanding the issues, approaches and pitfalls in mining automation from a human-element perspective. A timely and fast-developing issue in mining and the wider minerals industry, this book delves into the design and deployment of automation.

Free Download Advances in Web Mining and Web Usage Analysis: 7th International Workshop on Knowledge Discovery on the Web, WebKDD 2005, Chicago, IL, USA, August 21, 2005. Revised Papers By Lin Lu, Margaret Dunham, Yu Meng (auth.), Olfa Nasraoui, Osmar Zaïane, Myra Spiliopoulou, Bamshad Mobasher, Brij Masand, Philip S. Yu (eds.)
2006 | 182 Pages | ISBN: 3540463461 | PDF | 3 MB
Thisbookcontainsthepostworkshopproceedingsofthe7thInternationalWo- shop on Knowledge Discovery from the Web, WEBKDD 2005. The WEBKDD workshop series takes place as part of the ACM SIGKDD International Conf- ence on Knowledge Discovery and Data Mining (KDD) since 1999. The discipline of data mining delivers methodologies and tools for the an- ysis of large data volumes and the extraction of comprehensible and non-trivial insights from them. Web mining, a much younger discipline, concentrates on the analysisofdata pertinentto theWeb.Web mining methods areappliedonusage data and Web site content; they strive to improve our understanding of how the Web is used, to enhance usability and to promote mutual satisfaction between e-business venues and their potential customers. In the last years, the interest for the Web as medium for communication, interaction and business has led to new challenges and to intensive, dedicated research. Many of the infancy problems in Web mining have now been solved but the tremendous potential for new and improved uses, as well as misuses, of the Web are leading to new challenges.

Free Download Advanced Data Mining and Applications: Second International Conference, ADMA 2006, Xi’an, China, August 14-16, 2006 Proceedings By Jiawei Han, Hector Gonzalez, Xiaolei Li, Diego Klabjan (auth.), Xue Li, Osmar R. Zaïane, Zhan-huai Li (eds.)
2006 | 1114 Pages | ISBN: 3540370250 | PDF | 15 MB
This book constitutes the refereed proceedings of the Second International Conference on Advanced Data Mining and Applications, ADMA 2006, held in Xi’an, China in August 2006.The 41 revised full papers and 74 revised short papers presented together with 4 invited papers were carefully reviewed and selected from 515 submissions. The papers are organized in topical sections on association rules, classification, clustering, novel algorithms, text mining, multimedia mining, sequential data mining and time series mining, web mining, biomedical mining, advanced applications, security and privacy issues, spatial data mining, and streaming data mining.

Free Download Text Mining: Concepts, Implementation, and Big Data Challenge
English | 2024 | ISBN: 3031759753 | 721 Pages | PDF EPUB (True) | 98 MB
This popular book, updated as a textbook for classroom use, discusses text mining and different ways this type of data mining can be used to find implicit knowledge from text collections. The author provides the guidelines for implementing text mining systems in Java, as well as concepts and approaches. The book starts by providing detailed text preprocessing techniques and then goes on to provide concepts, the techniques, the implementation, and the evaluation of text categorization. It then goes into more advanced topics including text summarization, text segmentation, topic mapping, and automatic text management. The book features exercises and code to help readers quickly learn and apply knowledge.

Free Download Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007. Proceedings By Andrzej Jankowski, Andrzej Skowron (auth.), Aijun An, Jerzy Stefanowski, Sheela Ramanna, Cory J. Butz, Witold Pedrycz, Guoyin Wang (eds.)
2007 | 588 Pages | ISBN: 3540725296 | PDF | 12 MB
This volume contains the papers selected for presentation at the 11th Int- national Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC 2007), a part of the Joint Rough Set Symposium (JRS 2007) organized by Infobright Inc. and York University. JRS 2007 was held for the ?rst time during May 14-16, 2007 in MaRS Discovery District, Toronto, Canada. It consisted of two conferences: RSFDGrC 2007 and the Second Int- national Conference on Rough Sets and Knowledge Technology (RSKT 2007). The two conferences that constituted JRS 2007 investigated rough sets as an emerging methodology established more than 25 years ago by Zdzis law Pawlak. Roughsettheoryhasbecomeanintegralpartofdiversehybridresearchstreams. In keeping with this trend, JRS 2007 encompassed rough and fuzzy sets, kno- edgetechnologyanddiscovery,softandgranularcomputing,dataprocessingand mining, while maintaining an emphasis on foundations and applications. RSFDGrC 2007 followed in the footsteps of well-established international initiatives devoted to the dissemination of rough sets research, held so far in Canada, China, Japan, Poland, Sweden, and the USA. RSFDGrC was ?rst – ganized as the 7th International Workshop on Rough Sets, Data Mining and Granular Computing held in Yamaguchi, Japan in 1999. Its key feature was to stress the role of integrating intelligent information methods to solve real-world, large, complex problems concerned with uncertainty and fuzziness. RSFDGrC achieved the status of a bi-annual international conference, starting from 2003 in Chongqing, China.

Free Download Multimedia Data Mining and Knowledge Discovery By Valery A. Petrushin (auth.), Valery A. Petrushin MS, PhD, Latifur Khan BS, MS, PhD (eds.)
2007 | 521 Pages | ISBN: 1846284368 | PDF | 12 MB
Multimedia information is ubiquitous and essential in many applications, and repositories of multimedia are numerous and extremely large. Consequently, researchers and professionals need new techniques and tools for extracting the hidden, useful knowledge embedded within multimedia collections, thereby helping them discover relationships between the various elements and using this knowledge in decision-making applications.Multimedia Data Mining and Knowledge Discovery, assembling the work of leading academic and professional/industrial researchers worldwide, provides an overview of the current state-of-the-art in the field of multimedia data mining and knowledge discovery, and discusses the variety of hot topics in multimedia data mining research. Consisting of an introductory section and four topical parts, the book describes the objectives and current tendencies in multimedia data mining research and their applications. Each part contains an overview of its chapters and leads the reader with a structured approach through the diverse subjects in the field.Topics and Features:* Features a comprehensive introduction to multimedia data mining and its relevance today* Presents a global perspective of the field and its various components* Provides broad, yet thorough and detailed coverage of the subject* Numerous chapters reference websites with supplementary materials and demonstrations* Explores multimedia data exploration, multimedia data modeling and evaluation, and visualization* Offers an entire part devoted to applications and case studiesWritten with graduate students in mind, this much needed comprehensive survey of the current state of multimedia data mining and knowledge discovery will also serve as a valuable resource for researchers with interests in multimedia data mining, summarization, indexing, and retrieval.

Free Download Biomedical Data Mining for Information Retrieval: Methodologies, Techniques, and Applications (Artificial Intelligence and Soft Computing for Industrial Transformation) edited by Ajith Abraham, Sujata Dash, S. Balamurugan, Subhendu Kumar Pani
English | August 24, 2021 | ISBN: 111971124X | True EPUB/PDF | 448 pages | 2.3/11.97 MB
This book not only emphasizes traditional computational techniques, but discusses data mining, biomedical image processing, information retrieval with broad coverage of basic scientific applications.