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Business Intelligence and Performance Management

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Cover of 'Business Intelligence and Performance Management'

Table of Contents

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    Book Overview
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    Chapter 1 Business Intelligence and Performance Management: Introduction
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    Chapter 2 An Integrated Business Intelligence Framework
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    Chapter 3 Linking the Operational, Tactical and Strategic Levels by Means of CPM: An Example in the Construction Industry
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    Chapter 4 Adaptive Business Intelligence: The Integration of Data Mining and Systems Engineering into an Advanced Decision Support as an Integral Part of the Business Strategy
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    Chapter 5 How to Introduce KPIs and Scorecards in IT Management
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    Chapter 6 Identifying Suspicious Activities in Company Networks Through Data Mining and Visualization
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    Chapter 7 Exploring the Differences Between the Cross Industry Process for Data Mining and the National Intelligence Model Using a Self Organising Map Case study
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    Chapter 8 Business Planning and Support by IT-Systems
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    Chapter 9 Planning Purchase Decisions with Advanced Neural Networks
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    Chapter 10 Financial Time Series Processing: A Roadmap of Online and Offline Methods
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    Chapter 11 Data Supply for Planning and Budgeting Processes under Uncertainty by Means of Regression Analyses
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    Chapter 12 Minimizing the Total Cost in Production and Transportation Planning—A Fuzzy Approach
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    Chapter 13 Design and Automation for Manufacturing Processes: An Intelligent Business Modeling Using Adaptive Neuro-Fuzzy Inference Systems
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    Chapter 14 How to Measure Efficiency in IT Organizations
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    Chapter 15 Business Activity Monitoring (BAM)
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    Chapter 16 Scaling up Data Mining Techniques to Large Datasets Using Parallel and Distributed Processing
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    Chapter 17 Evolution of Business Intelligence
Attention for Chapter 7: Exploring the Differences Between the Cross Industry Process for Data Mining and the National Intelligence Model Using a Self Organising Map Case study
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Citations

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Chapter title
Exploring the Differences Between the Cross Industry Process for Data Mining and the National Intelligence Model Using a Self Organising Map Case study
Chapter number 7
Book title
Business Intelligence and Performance Management
Published by
Springer London, January 2013
DOI 10.1007/978-1-4471-4866-1_7
Book ISBNs
978-1-4471-4865-4, 978-1-4471-4866-1
Authors

Richard Adderley

Editors

Peter Rausch, Alaa F. Sheta, Aladdin Ayesh

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 25%
Researcher 1 13%
Lecturer 1 13%
Student > Master 1 13%
Unknown 3 38%
Readers by discipline Count As %
Computer Science 3 38%
Business, Management and Accounting 1 13%
Economics, Econometrics and Finance 1 13%
Unknown 3 38%