XML Data Mining: Models, Methods, and Applications (Premier Reference Source)

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9781613503560: XML Data Mining: Models, Methods, and Applications (Premier Reference Source)

The widespread use of XML in business and scientific databases has prompted the development of methodologies, techniques, and systems for effectively managing and analyzing XML data. This has increasingly attracted the attention of different research communities, including database, information retrieval, pattern recognition, and machine learning, from which several proposals have been offered to address problems in XML data management and knowledge discovery.

XML Data Mining: Models, Methods, and Applications aims to collect knowledge from experts of database, information retrieval, machine learning, and knowledge management communities in developing models, methods, and systems for XML data mining. This book addresses key issues and challenges in XML data mining, offering insights into the various existing solutions and best practices for modeling, processing, analyzing XML data, and for evaluating performance of XML data mining algorithms and systems.

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About the Author:

Andrea Tagarelli is an Assistant Professor of Computer Science with the Department of Electronics, Computer and Systems Sciences, University of Calabria, Italy. He graduated in Computer Engineering, in 2001 and obtained his Ph.D. in Computer and Systems Engineering, in 2006. He was visiting researcher at the Department of Computer Science & Engineering, University of Minnesota at Minneapolis, USA. His research interests include topics in knowledge discovery and text/data mining, information extraction, Web and semistructured data management, spatio-temporal databases and bioinformatics. On these topics, he has coauthored journal articles, conference papers and book chapters and developed practical software tools. He has served as a reviewer as well as a member of program committee for leading journals and conferences in the fields of databases and data mining, information systems, knowledge and data management and artificial intelligence. He has been a SIAM member since 2008 and an ACM member since 2009.

Review:

It [XML Data Mining: Models, Methods, and Applications] should be a very useful resource for advanced students and professionals. Summing Up: Recommended. Upper-division undergraduates and above.

--H. Levkowitz, University of Massachusetts, CHOICE , May 2012

I am confident that this timely volume will be the go-to reference for finding the latest methods and developments in XML data mining. It will be an invaluable resource for students, researchers, and practitioners in the field.

--Mohammed J. Zaki, Rensselaer Polytechnic Institute, USA

Each chapter is set out as a scholarly article, with an abstract, details and examples of the research question addressed, conclusions and proposals for future research, as well as a detailed bibliography. The book also has a detailed and very useful index. This is a technical volume targeted at researchers, computer scientists, developers and other practitioners working with XML data mining and related fields, such as web mining, information retrieval and knowledge management. --Catherine Gilbert, Parliament of Australia Library. The Australian Library Journal, 62(3).

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Descripción Business Science Reference, United States, 2011. Hardback. Estado de conservación: New. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. The widespread use of XML in business and scientific databases has prompted the development of methodologies, techniques, and systems for effectively managing and analyzing XML data. This has increasingly attracted the attention of different research communities, including database, information retrieval, pattern recognition, and machine learning, from which several proposals have been offered to address problems in XML data management and knowledge discovery. XML Data Mining: Models, Methods, and Applications aims to collect knowledge from experts of database, information retrieval, machine learning, and knowledge management communities in developing models, methods, and systems for XML data mining. This book addresses key issues and challenges in XML data mining, offering insights into the various existing solutions and best practices for modeling, processing, analyzing XML data, and for evaluating performance of XML data mining algorithms and systems. Nº de ref. de la librería TNP9781613503560

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Descripción Business Science Reference, United States, 2011. Hardback. Estado de conservación: New. Language: English . Brand New Book ***** Print on Demand *****.The widespread use of XML in business and scientific databases has prompted the development of methodologies, techniques, and systems for effectively managing and analyzing XML data. This has increasingly attracted the attention of different research communities, including database, information retrieval, pattern recognition, and machine learning, from which several proposals have been offered to address problems in XML data management and knowledge discovery. XML Data Mining: Models, Methods, and Applications aims to collect knowledge from experts of database, information retrieval, machine learning, and knowledge management communities in developing models, methods, and systems for XML data mining. This book addresses key issues and challenges in XML data mining, offering insights into the various existing solutions and best practices for modeling, processing, analyzing XML data, and for evaluating performance of XML data mining algorithms and systems. Nº de ref. de la librería APC9781613503560

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