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concepts, methodologies, tools, and applications
"This collection offers tools, designs, and outcomes of the utilization of data mining and warehousing technologies, such as algorithms, concept lattices, multidimensional data, and online analytical processing. With more than 300 chapters contributed by over 575 experts from around the globe, this authoritative collection will provide libraries with the essential reference on data mining and warehousing"--Provided by publisher.
offer a broad overview of procedures and methods essential to data mining. The
expertly researched contributions within this section also present an essential
introduction to the innumerable applications of data mining and warehousing.
"This set offers thorough examination of the issues of importance in the rapidly changing field of data warehousing and mining"--Provided by publisher.
"This set offers thorough examination of the issues of importance in the rapidly changing field of data warehousing and mining"--Provided by publisher.
Concepts, Methodologies, Tools, and Applications
"This collection offers tools, designs, and outcomes of the utilization of data mining and warehousing technologies, such as algorithms, concept lattices, multidimensional data, and online analytical processing. With more than 300 chapters contributed by over 575 experts from around the globe, this authoritative collection will provide libraries with the essential reference on data mining and warehousing"--Provided by publisher.
"This collection offers tools, designs, and outcomes of the utilization of data mining and warehousing technologies, such as algorithms, concept lattices, multidimensional data, and online analytical processing.
Opportunities and Challenges
Data Mining: Opportunities and Challenges presents an overview of the state of the art approaches in this new and multidisciplinary field of data mining. The primary objective of this book is to explore the myriad issues regarding data mining, specifically focusing on those areas that explore new methodologies or examine case studies. This book contains numerous chapters written by an international team of forty-four experts representing leading scientists and talented young scholars from seven different countries.
This chapter presents an approach to mining free-text documents for structure
that is qualitative in nature. It complements the statistical and machine-learning
approaches, insomuch as the structural organization of information in documents
is ...
