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Zustand: New.

Paperback. Zustand: new. Paperback. Business intelligence is a broad category of applications and technologies for gathering, providing access to, and analyzing data for the purpose of helping enterprise users make better business decisions. The term implies having a comprehensive knowledge of all factors that affect a business, such as customers, competitors, business partners, economic environment, and internal operations, therefore enabling optimal decisions to be made. Business Intelligence provides readers with an introduction and practical guide to the mathematical models and analysis methodologies vital to business intelligence. This book: Combines detailed coverage with a practical guide to the mathematical models and analysis methodologies of business intelligence.Covers all the hot topics such as data warehousing, data mining and its applications, machine learning, classification, supply optimization models, decision support systems, and analytical methods for performance evaluation.Is made accessible to readers through the careful definition and introduction of each concept, followed by the extensive use of examples and numerous real-life case studies.Explains how to utilise mathematical models and analysis models to make effective and good quality business decisions. This book is aimed at postgraduate students following data analysis and data mining courses. Researchers looking for a systematic and broad coverage of topics in operations research and mathematical models for decision-making will find this an invaluable guide. This book provides coverage of topics currently dispersed throughout data mining and business books, bringing them together for the first time to provide readers with an introductory and practical guide to the mathematical models and analysis methodologies vital to business intelligence. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

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Paperback. Zustand: New. Data Mining und Optimierung zur Erleichterung von Entscheidungen: Der Autor dieses Bandes hat Informationen zu diesem Thema zusammengefasst und aufbereitet, die Sie sonst mühsam in der weit verstreuten Fachliteratur suchen müssten. Mathematische Modelle und Analysenverfahren werden gut verständlich eingeführt und anhand von Beispielen und Fallstudien aus der Praxis erläutert.

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Zustand: New. pp. 436.

Zustand: New. This book provides coverage of topics currently dispersed throughout data mining and business books, bringing them together for the first time to provide readers with an introductory and practical guide to the mathematical models and analysis methodologies vital to business intelligence. Num Pages: 436 pages, black & white illustrations, black & white line drawings, black & white tables, figures, BIC Classification: PB. Category: (P) Professional & Vocational. Dimension: 229 x 154 x 26. Weight in Grams: 636. . 2009. 1st Edition. Paperback. . . . .

Zustand: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Zustand: New. pp. 436 Index.

Paperback. Zustand: new. Paperback. Business intelligence is a broad category of applications and technologies for gathering, providing access to, and analyzing data for the purpose of helping enterprise users make better business decisions. The term implies having a comprehensive knowledge of all factors that affect a business, such as customers, competitors, business partners, economic environment, and internal operations, therefore enabling optimal decisions to be made. Business Intelligence provides readers with an introduction and practical guide to the mathematical models and analysis methodologies vital to business intelligence. This book: Combines detailed coverage with a practical guide to the mathematical models and analysis methodologies of business intelligence.Covers all the hot topics such as data warehousing, data mining and its applications, machine learning, classification, supply optimization models, decision support systems, and analytical methods for performance evaluation.Is made accessible to readers through the careful definition and introduction of each concept, followed by the extensive use of examples and numerous real-life case studies.Explains how to utilise mathematical models and analysis models to make effective and good quality business decisions. This book is aimed at postgraduate students following data analysis and data mining courses. Researchers looking for a systematic and broad coverage of topics in operations research and mathematical models for decision-making will find this an invaluable guide. This book provides coverage of topics currently dispersed throughout data mining and business books, bringing them together for the first time to provide readers with an introductory and practical guide to the mathematical models and analysis methodologies vital to business intelligence. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Zustand: new. Paperback. Business intelligence is a broad category of applications and technologies for gathering, providing access to, and analyzing data for the purpose of helping enterprise users make better business decisions. The term implies having a comprehensive knowledge of all factors that affect a business, such as customers, competitors, business partners, economic environment, and internal operations, therefore enabling optimal decisions to be made. Business Intelligence provides readers with an introduction and practical guide to the mathematical models and analysis methodologies vital to business intelligence. This book: Combines detailed coverage with a practical guide to the mathematical models and analysis methodologies of business intelligence.Covers all the hot topics such as data warehousing, data mining and its applications, machine learning, classification, supply optimization models, decision support systems, and analytical methods for performance evaluation.Is made accessible to readers through the careful definition and introduction of each concept, followed by the extensive use of examples and numerous real-life case studies.Explains how to utilise mathematical models and analysis models to make effective and good quality business decisions. This book is aimed at postgraduate students following data analysis and data mining courses. Researchers looking for a systematic and broad coverage of topics in operations research and mathematical models for decision-making will find this an invaluable guide. This book provides coverage of topics currently dispersed throughout data mining and business books, bringing them together for the first time to provide readers with an introductory and practical guide to the mathematical models and analysis methodologies vital to business intelligence. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Zustand: New. This book provides coverage of topics currently dispersed throughout data mining and business books, bringing them together for the first time to provide readers with an introductory and practical guide to the mathematical models and analysis methodologies vital to business intelligence. Num Pages: 436 pages, black & white illustrations, black & white line drawings, black & white tables, figures, BIC Classification: PB. Category: (P) Professional & Vocational. Dimension: 229 x 154 x 26. Weight in Grams: 636. . 2009. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.

Kartoniert / Broschiert. Zustand: New. Carlo Vercellis - School of Management, Politecnico di Milano, ItalyAs well as teaching courses in Operations Research and Business Intelligence, Professor Vercellis is director of the research group MOLD (Mathematical Modeling, Optimization, Learning from .

Paperback. Zustand: Brand New. 1st edition. 417 pages. 9.00x6.00x1.00 inches. In Stock.

Paperback. Zustand: New. Data Mining und Optimierung zur Erleichterung von Entscheidungen: Der Autor dieses Bandes hat Informationen zu diesem Thema zusammengefasst und aufbereitet, die Sie sonst mühsam in der weit verstreuten Fachliteratur suchen müssten. Mathematische Modelle und Analysenverfahren werden gut verständlich eingeführt und anhand von Beispielen und Fallstudien aus der Praxis erläutert.