Data Mining and Decision Support

by Mladenic, Dunja; Lavrac, Nada; Bohanec, Marko; Moyle, Steve

• ISBN13: 9781402073885
• ISBN10: 1402073887
• Format: Hardcover
• Copyright: 2003-09-01
• Publisher: Kluwer Academic Pub

Summary

Data mining deals with finding patterns in data that are by user-definition, interesting and valid. It is an interdisciplinary area involving databases, machine learning, pattern recognition, statistics, visualization and others. Decision support focuses on developing systems to help decision-makers solve problems. Decision support provides a selection of data analysis, simulation, visualization and modeling techniques, and software tools such as decision support systems, group decision support and mediation systems, expert systems, databases and data warehouses. Independently, data mining and decision support are well-developed research areas, but until now there has been no systematic attempt to integrate them. Data Mining and Decision Support: Integration and Collaboration , written by leading researchers in the field, presents a conceptual framework, plus the methods and tools for integrating the two disciplines and for applying this technology to business problems in a collaborative setting.

Table of Contents

Preface	ix
Acknowledgments	xi
Foreword	xiii
Contributing Authors	xvii
PART I BASIC TECHNOLOGIES	1	(78)
Edited by Dunja Mladenic
1. DATA MINING	3	(12)
Nada Lavrac and Marko Grobelnik
2. TEXT AND WEB MINING	15	(8)
Dunja Mladenic and Marko Grobelnik
3. DECISION SUPPORT	23	(8)
Marko Bohanec
4. INTEGRATION OF DATA MINING AND DECISION SUPPORT	31	(18)
Nada Lavrac and Marko Bohanec
5. COLLABORATION IN A DATA MINING VIRTUAL ORGANIZATION	49	(14)
Steve Moyle, Jane McKenzie, and Alipio Jorge
6. DATA MINING PROCESSES AND COLLABORATION PRINCIPLES	63	(18)
Alipio Jorge, Steve Moyle, Hendrik Blockeel, and Angi Voß
PART II INTEGRATION ASPECTS OF DATA MINING AND DECISION SUPPORT	79	(52)
Edited by Marko Bohanec
7. DECISION SUPPORT FOR DATA MINING: AN INTRODUCTION TO ROC ANALYSIS AND ITS APPLICATIONS	81	(10)
Peter Flach, Hendrik Blockeel, Cèsar Ferri, José Hernández-Orallo, and Jan Struyf
8. DATA MINING FOR DECISION SUPPORT: SUPPORTING MARKETING DECISIONS THROUGH SUBGROUP DISCOVERY	91	(10)
Bojan Cestnik, Nada Lavrac, Peter Flach, Dragan Gamberger, and Mihael Kline
9. PREPROCESSING FOR DATA MINING AND DECISION SUPPORT	101	(18)
Olga Stepánková, Petr Aubrecht, Zdenek Kouba, and Petr Mikšovský
10. DATA MINING AND DECISION SUPPORT INTEGRATION THROUGH THE PREDICTIVE MODEL MARKUP LANGUAGE STANDARD AND VISUALIZATION	119	(14)
Dietrich Wettschereck, Alipio Jorge, and Steve Moyle
PART III APPLICATIONS OF DATA MINING AND DECISION SUPPORT	131	(82)
Edited by Steve Moyle
11. ANALYSIS OF SLOVENIAN MEDIA SPACE	133	(10)
Marko Grobelnik, Maja Skrjanc, and Darko Zupanic
12. ON THE ROAD TO KNOWLEDGE: MINING 21 YEARS OF UK TRAFFIC ACCIDENT REPORTS	143	(14)
Peter Flach, Hendrik Blockeel, Thomas Gärtner, Marko Grobelnik, Branko Kavšek, Martin Kejkula, Darek Krzywania, Nada Lavrac, Peter Ljubic, Dunja Mladenic, Steve Moyle, Stefan Raeymaekers, Jan Rauch, Simon Rawles, Rita Ribeiro, Gert Sclep, Jan Struyf, Ljupco Todorovski, Luis Torgo, Dietrich Wettschereck, and Shaomin Wu
13. ANALYSIS OF A DATABASE OF RESEARCH PROJECTS USING TEXT MINING AND LINK ANALYSIS	157	(10)
Marko Grobelnik and Dunja Mladenic
14. WEB SITE ACCESS ANALYSIS FOR A NATIONAL STATISTICAL AGENCY	167	(10)
Alipio Jorge, Mário A. Alves, Marko Grobelnik, Dunja Mladenic, and Johann Petrak
15. FIVE DECISION SUPPORT APPLICATIONS	177	(14)
Marko Bohanec, Vladislav Rajkovic, and Bojan Cestnik
16. LARGE AND TALL BUILDINGS: A CASE STUDY IN THE APPLICATION OF DECISION SUPPORT AND DATA MINING	191	(12)
Steve Moyle, Marko Bohanec, and Eric Osrowski
17. A COMBINED DATA MINING AND DECISION SUPPORT APPROACH TO EDUCATIONAL PLANNING	203	(12)
Silvana Gasar, Marko Bohanec, and Vladislav Rajkovic
PART IV COLLABORATION ASPECTS	213	(58)
Edited by Nada Lavrac
18. COLLABORATIVE DATA MINING WITH RAMSYS AND SUMATRA TT: PREDICTION OF RESOURCES FOR A HEALTH FARM	215	(12)
Olga Stepánková, Jiri Kléma, and Petr Mikšovský
19. COLLABORATIVE DECISION MAKING: AN ENVIRONMENTAL CASE STUDY	227	(10)
Tanja Urbancic, Marko Bohanec, and Branko Kontic
20. LESSONS LEARNED FROM DATA MINING, DECISION SUPPORT AND COLLABORATION	237	(10)
Dunja Mladenic, Nada Lavrac, and Marko Bohanec
21. INTERNET SUPPORT TO COLLABORATION: A KNOWLEDGE MANAGEMENT AND ORGANIZATIONAL MEMORY VIEW	247	(14)
Alipio Jorge, Damjan Bojadziev, Mário Amado Alves, Olga Štepánková, Dunja Mladenic, Jiri Palouš, Peter Flach, and Johann Petrak
22. MIND THE GAP: ACADEMIA-BUSINESS PARTNERSHIP MODELS AND E-COLLABORATION LESSONS LEARNED	261	(10)
Nada Lavrac and Tanja Urbancic
Subject index	271