Data Mining and Decision Support (inbunden)
Fler böcker inom
Format
Inbunden (Hardback)
Språk
Engelska
Antal sidor
275
Utgivningsdatum
2003-09-01
Upplaga
2003 ed.
Förlag
Springer-Verlag New York Inc.
Medarbetare
Mladenic, Dunja (ed.), Lavrac, Nada (ed.), Bohanec, Marko (ed.), Moyle, Steve (ed.)
Illustrationer
XXIII, 275 p.
Dimensioner
242 x 160 x 22 mm
Vikt
620 g
Antal komponenter
1
Komponenter
1 Hardback
ISBN
9781402073885

Data Mining and Decision Support

Integration and Collaboration

av Dunja Mladenic, Nada Lavra, Marko Bohanec, Steve Moyle
Inbunden,  Engelska, 2003-09-01
2168
Köp
Spara som favorit
  • Skickas från oss inom 7-10 vardagar.
  • Fri frakt över 249 kr för privatkunder i Sverige.
Finns även som
Visa alla 2 format & utgåvor
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.
Visa hela texten

Passar bra ihop

  1. Data Mining and Decision Support
  2. +
  3. Co-Intelligence

De som köpt den här boken har ofta också köpt Co-Intelligence av Ethan Mollick (häftad).

Köp båda 2 för 2358 kr

Kundrecensioner

Har du läst boken? Sätt ditt betyg »

Fler böcker av författarna

Dunja Mladenic, Nada Lavra, Marko Bohanec, Steve Moyle

Recensioner i media

From the reviews: "This multi-authored book reports the findings of a European Commission sponsored project . The aim of the project was to bring together the two disciplines, or practices, of data mining and decision support . This book can be recommended highly, to researchers or practitioners in the information sciences wanting an insight into just what data mining and decision support are really about, and where their potential lies." (David Bawden, JDOC - Journal of Documentation, Vol. 61 (3), 2005)

Innehållsförteckning

1. Data Mining.- 2. Text and Web Mining.- 3. Decision Support.- 4. Integration of Data Mining and Decision Support.- 5 Collaboration in a Data Mining Virtual Organization.- 6. Data Mining Processes and Collaboration Principles.- 7. Decision Support for Data Mining: An Introduction to Roc Analysis and Its Applications.- 8. Data Mining for Decision Support: Supportingmarketing Decisions Through Subgroup Discovery.- 9. Preprocessing for Data Mining and Decision Support.- 10 Data Mining and Decision Support Integration Through the Predictive Model Markup Language Standard and Visualization.- 11 Analysis of Slovenian Media Space.- 12 On the Road to Knowledge: Mining 21 Years of UK Traffic Accident Reports.- 13 Analysis of a Database of Research Projects Using Text Mining and Link Analysis.- 14 Web Site Access Analysis for a National Statistical Agency.- 15 Five Decision Support Applications.- 16. Large and Tall Buildings: A Case Study in the Application of Decision Support and Data Mining.- 17 A Combined Data Mining and Decision Support Approach to Educational Planning.- 18 Collaborative Data Mining with Ramsys and Sumatra TT: prediction of Resources for a Health Farm.- 19 Collaborative Decision Making: An Environmental Case Study.- 20 Lessons Learned From Data Mining, Decision Support and Collaboration.- 21. Internet Support to Collaboration: A KnowledgeManagement and Organizational Memory View.- 22. Mind the Gap: Academia-Business Partnership Models and E-Collaboration Lessons Learned.

Du kanske gillar