Table of Contents

Table of Contents
Foreword.............................................................................................................................................. xvi
Preface................................................................................................................................................xviii
Acknowledgment............................................................................................................................... xxiv
Section 1
Fundamentals and Literature Review
Chapter 1
Data Mining and Business Intelligence: A Comparative, Historical Perspective.................................... 1
Ana Azevedo, Algoritmi R&D Center/University of Minho, Portugal & Polytechnic Institute
of Porto/ISCAP, Portugal
Chapter 2
The Role of Data Mining for Business Intelligence in Knowledge Management................................. 12
Kijpokin Kasemsap, Suan Sunandha Rajabhat University, Thailand
Chapter 3
Data Quality for Data Mining in Business Intelligence Applications: Current State and Research
Directions............................................................................................................................................... 34
Arun Thotapalli Sundararaman, Accenture, India
Section 2
Approaches and Methodologies
Chapter 4
ASD-BI: An Agile Methodology for Effective Integration of Data Mining in Business Intelligence
Systems.................................................................................................................................................. 61
Mouhib Alnoukari, Syrian Virtual University, Syria
Chapter 5
A Proactive Approach for BI................................................................................................................. 83
Stanley Loh, Lutheran University of Brazil (ULBRA), Brazil
Chapter 6
Analyzing Customer Behavior Using Online Analytical Mining (OLAM)........................................... 98
Thanachart Ritbumroong, King Mongkut’s University of Technology Thonburi, Thailand
Section 3
Web and Text Mining Applications
Chapter 7
Web Mining for the Integration of Data Mining with Business Intelligence in Web-Based
Decision Support Systems................................................................................................................... 120
Marcos Aurélio Domingues, University of São Paulo, Brazil
Alípio Mário Jorge, University of Porto, Portugal
Carlos Soares, University of Porto, Portugal
Solange Oliveira Rezende, University of São Paulo, Brazil
Chapter 8
Text-Driven Reasoning and Multi-Structured Data Analytics for Business Intelligence.................... 143
Lipika Dey, Innovation Labs, Tata Consultancy Services, India
Ishan Verma, Innovation Labs, Tata Consultancy Services, India
Section 4
Applications to Specific Domains
Chapter 9
Pre-Triage Decision Support Improvement in Maternity Care by Means of Data Mining.................. 175
Eliana Pereira, University of Minho, Portugal
Andreia Brandão, University of Minho, Portugal
Maria Salazar, Centro Hospitalar do Porto, Portugal
Carlos Filipe Portela, University of Minho, Portugal
Manuel Filipe Santos, University of Minho, Portugal
José Machado, University of Minho, Portugal
António Abelha, University of Minho, Portugal
Jorge Braga, Centro Hospitalar do Porto, Portugal
Chapter 10
Business Intelligence and Nosocomial Infection Decision Making.................................................... 193
Eva Silva, University of Minho, Portugal
Ana Alpuim, University of Minho, Portugal
Luciana Cardoso, University of Minho, Portugal
Fernando Marins, University of Minho, Portugal
César Quintas, Centro Hospitalar do Porto, Portugal
Carlos Filipe Portela, University of Minho, Portugal
Manuel Filipe Santos, University of Minho, Portugal
José Machado, University of Minho, Portugal
António Abelha, University of Minho, Portugal
Chapter 11
A Comprehensive Workflow for Enhancing Business Bankruptcy Prediction.................................... 216
Rui Sarmento, LIAAD-INESC TEC, Portugal
Luís Trigo, LIAAD-INESC TEC, Portugal
Liliana Fonseca, University of Porto, Portugal
Section 5
Software Issues
Chapter 12
Open Source Software Integrations..................................................................................................... 240
Gábor Bakos, Mind Eratosthenes Kft., Hungary
Chapter 13
3rd Order Analytics Demand Planning: A Collaboration of BI and Predictive Analytics Tools........ 257
Keith McCormick, QueBIT Consulting, USA
Richard Creeth, QueBIT Consulting, USA
Scott Mutchler, QueBIT Consulting, USA
Compilation of References................................................................................................................ 279
About the Contributors..................................................................................................................... 305
Index.................................................................................................................................................... 313