موسوعة البيانات العملاقة Encyclopedia Of Data Warehousing And Mining 2006

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بسم الله الرحمن الرحيم
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موسوعة البيانات العملاقة Encyclopedia Of Data Warehousing And Mining 2006

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John Wang (Editor), “Encyclopedia Of Data Warehousing And Mining 2006”
Idea Group Pub | ISBN 1591405572 | June 2005 | 1700 Pages


Description:
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.

Key Features:
Numerous contributions from international scholars providing comprehensive coverage of theory and concepts of Data Warehousing and Mining
Example of best practices and case studies in DWM
A renowned and experienced Editorial Advisory Board
A compendium of more than 1,800 terms, definitions and explanations of concepts, processes and acronyms provided by international experts
More than 4,400 comprehensive references
Organized by titles and indexed by authors and topics, making it a convenient methods of reference for readers
Cross referencing of key terms, figures and information related to DWM
With the purchase of a print copy , your library will have access to the electronic edition of this encyclopedia, free of charge for the life of the edition


Recommended Libraries
Public, Academic, Private, Corporate and Special









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نسألكم الدعاء لنا ولكم وللمجاهدين في سبيل الله في كل مكان وللمسلمين اجمعين​
 

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jam1966 قال:
بسم الله الرحمن الرحيم
السلام عليكم ورحمة الله



موسوعة البيانات العملاقة Encyclopedia Of Data Warehousing And Mining 2006

peacekeeper95_t.jpg



John Wang (Editor), “Encyclopedia Of Data Warehousing And Mining 2006”
Idea Group Pub | ISBN 1591405572 | June 2005 | 1700 Pages


Description:
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.

Key Features:
Numerous contributions from international scholars providing comprehensive coverage of theory and concepts of Data Warehousing and Mining
Example of best practices and case studies in DWM
A renowned and experienced Editorial Advisory Board
A compendium of more than 1,800 terms, definitions and explanations of concepts, processes and acronyms provided by international experts
More than 4,400 comprehensive references
Organized by titles and indexed by authors and topics, making it a convenient methods of reference for readers
Cross referencing of key terms, figures and information related to DWM
With the purchase of a print copy , your library will have access to the electronic edition of this encyclopedia, free of charge for the life of the edition


Recommended Libraries
Public, Academic, Private, Corporate and Special









حمل من المرفقات



نسألكم الدعاء لنا ولكم وللمجاهدين في سبيل الله في كل مكان وللمسلمين اجمعين​

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