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Integration of data mining in busine...
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Azevedo, Ana,
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Integration of data mining in business intelligence systems /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Integration of data mining in business intelligence systems // Ana Azevedo and Manuel Filipe Santos, editors.
其他作者:
Azevedo, Ana,
面頁冊數:
PDFs (314 pages).
內容註:
Data mining and business intelligence: a comparative, historical perspective / Ana Azevedo -- The role of data mining for business intelligence in knowledge management / Kijpokin Kasemsap -- Data quality for data mining in business intelligence applications: current state and research directions / Arun Thotapalli Sundararaman -- ASD-BI: an agile methodology for effective integration of data mining in business intelligence systems / Mouhib Alnoukari -- A proactive approach for BI / Stanley Loh -- Analyzing customer behavior using online analytical mining (OLAM) / Thanachart Ritbumroong -- Web mining for the integration of data mining with business intelligence in web-based decision support systems / Marcos Aurelio Domingues [and 3 others] -- Text-driven reasoning and multi-structured data analytics for business intelligence / Lipika Dey, Ishan Verma -- Pre-triage decision support improvement in maternity care by means of data mining / Eliana Pereira [and 7 others] -- Business intelligence and nosocomial infection decision making / Eva Silva [and 8 others] -- A comprehensive workflow for enhancing business bankruptcy prediction / Rui Sarmento, Luis Trigo, Liliana Fonseca -- Open source software integrations / Gabor Bakos -- 3rd order analytics demand planning: a collaboration of BI and predictive analytics tools / Keith McCormick, Richard Creeth, Scott Mutchler.
標題:
Business intelligence. -
電子資源:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-4666-6477-7
ISBN:
9781466664784 (ebook)
Integration of data mining in business intelligence systems /
Integration of data mining in business intelligence systems /
Ana Azevedo and Manuel Filipe Santos, editors. - PDFs (314 pages).
Includes bibliographical references.
Data mining and business intelligence: a comparative, historical perspective / Ana Azevedo -- The role of data mining for business intelligence in knowledge management / Kijpokin Kasemsap -- Data quality for data mining in business intelligence applications: current state and research directions / Arun Thotapalli Sundararaman -- ASD-BI: an agile methodology for effective integration of data mining in business intelligence systems / Mouhib Alnoukari -- A proactive approach for BI / Stanley Loh -- Analyzing customer behavior using online analytical mining (OLAM) / Thanachart Ritbumroong -- Web mining for the integration of data mining with business intelligence in web-based decision support systems / Marcos Aurelio Domingues [and 3 others] -- Text-driven reasoning and multi-structured data analytics for business intelligence / Lipika Dey, Ishan Verma -- Pre-triage decision support improvement in maternity care by means of data mining / Eliana Pereira [and 7 others] -- Business intelligence and nosocomial infection decision making / Eva Silva [and 8 others] -- A comprehensive workflow for enhancing business bankruptcy prediction / Rui Sarmento, Luis Trigo, Liliana Fonseca -- Open source software integrations / Gabor Bakos -- 3rd order analytics demand planning: a collaboration of BI and predictive analytics tools / Keith McCormick, Richard Creeth, Scott Mutchler.
Restricted to subscribers or individual electronic text purchasers.
"This book investigates the incorporation of data mining into business technologies used in the decision making process, emphasizing cutting-edge research and relevant concepts in data discovery and analysis"--Provided by publisher.
Mode of access: World Wide Web.
ISBN: 9781466664784 (ebook)
Standard No.: 10.4018/978-1-4666-6477-7doi
LCCN: 2014026549Subjects--Topical Terms:
669648
Business intelligence.
Subjects--Index Terms:
Business analytics
LC Class. No.: HD38.7 / .I5438 2015e
Dewey Class. No.: 658.4/03802856312
Integration of data mining in business intelligence systems /
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