XML Data Mining

XML Data Mining
Title XML Data Mining PDF eBook
Author Andrea Tagarelli
Publisher
Pages 521
Release 2011-12-01
Genre Data mining
ISBN 9781613503584

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"This book is a collection of knowledge from experts of database, information retrieval, machine learning, and knowledge management communities in developing models, methods and systems for XML data mining that can be used to address key issues and challenges in XML data mining"--Provided by publisher.

XML Data Mining: Models, Methods, and Applications

XML Data Mining: Models, Methods, and Applications
Title XML Data Mining: Models, Methods, and Applications PDF eBook
Author Tagarelli, Andrea
Publisher IGI Global
Pages 538
Release 2011-11-30
Genre Computers
ISBN 1613503571

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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.

Data Mining: Concepts, Methodologies, Tools, and Applications

Data Mining: Concepts, Methodologies, Tools, and Applications
Title Data Mining: Concepts, Methodologies, Tools, and Applications PDF eBook
Author Management Association, Information Resources
Publisher IGI Global
Pages 2335
Release 2012-11-30
Genre Computers
ISBN 1466624566

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Data mining continues to be an emerging interdisciplinary field that offers the ability to extract information from an existing data set and translate that knowledge for end-users into an understandable way. Data Mining: Concepts, Methodologies, Tools, and Applications is a comprehensive collection of research on the latest advancements and developments of data mining and how it fits into the current technological world.

XML Data Management

XML Data Management
Title XML Data Management PDF eBook
Author Akmal B. Chaudhri
Publisher Addison-Wesley Professional
Pages 682
Release 2003
Genre Computers
ISBN 9780201844528

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In this book, you will find discussions on the newest native XML databases, along with information on working with XML-enabled relational database systems. In addition, XML Data Management thoroughly examines benchmarks and analysis techniques for performance of XML databases. This book is best used by students that are knowledgeable in database technology and are familiar with XML.

Data Mining Patterns: New Methods and Applications

Data Mining Patterns: New Methods and Applications
Title Data Mining Patterns: New Methods and Applications PDF eBook
Author Poncelet, Pascal
Publisher IGI Global
Pages 324
Release 2007-08-31
Genre Computers
ISBN 1599041642

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"This book provides an overall view of recent solutions for mining, and explores new patterns,offering theoretical frameworks and presenting challenges and possible solutions concerning pattern extractions, emphasizing research techniques and real-world applications. It portrays research applications in data models, methodologies for mining patterns, multi-relational and multidimensional pattern mining, fuzzy data mining, data streaming and incremental mining"--Provided by publisher.

Encyclopedia of Data Warehousing and Mining

Encyclopedia of Data Warehousing and Mining
Title Encyclopedia of Data Warehousing and Mining PDF eBook
Author Wang, John
Publisher IGI Global
Pages 1382
Release 2005-06-30
Genre Computers
ISBN 1591405599

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Data Warehousing and Mining (DWM) is the science of managing and analyzing large datasets and discovering novel patterns and in recent years has emerged as a particularly exciting and industrially relevant area of research. Prodigious amounts of data are now being generated in domains as diverse as market research, functional genomics and pharmaceuticals; intelligently analyzing these data, with the aim of answering crucial questions and helping make informed decisions, is the challenge that lies ahead. The Encyclopedia of Data Warehousing and Mining provides a comprehensive, critical and descriptive examination of concepts, issues, trends, and challenges in this rapidly expanding field of data warehousing and mining (DWM). This encyclopedia consists of more than 350 contributors from 32 countries, 1,800 terms and definitions, and more than 4,400 references. This authoritative publication offers in-depth coverage of evolutions, theories, methodologies, functionalities, and applications of DWM in such interdisciplinary industries as healthcare informatics, artificial intelligence, financial modeling, and applied statistics, making it a single source of knowledge and latest discoveries in the field of DWM.

Trends and Applications in Knowledge Discovery and Data Mining

Trends and Applications in Knowledge Discovery and Data Mining
Title Trends and Applications in Knowledge Discovery and Data Mining PDF eBook
Author Jiuyong Li
Publisher Springer
Pages 571
Release 2013-08-23
Genre Computers
ISBN 3642403190

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This book constitutes the refereed proceedings at PAKDD Workshops 2013, affiliated with the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) held in Gold Coast, Australia in April 2013. The 47 revised full papers presented were carefully reviewed and selected from 92 submissions. The workshops affiliated with PAKDD 2013 include: Data Mining Applications in Industry and Government (DMApps), Data Analytics for Targeted Healthcare (DANTH), Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models (QIMIE), Biologically Inspired Techniques for Data Mining (BDM), Constraint Discovery and Application (CDA), Cloud Service Discovery (CloudSD).