Data Mining and Decision Support

Integration and Collaboration

Nonfiction, Computers, Advanced Computing, Theory, Database Management, General Computing
Cover of the book Data Mining and Decision Support by , Springer US
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9781461502869
Publisher: Springer US Publication: December 6, 2012
Imprint: Springer Language: English
Author:
ISBN: 9781461502869
Publisher: Springer US
Publication: December 6, 2012
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer US

Cover of the book Advanced Flip Chip Packaging by
Cover of the book Osteoimmunology by
Cover of the book Advances in Speech Recognition by
Cover of the book Environment and Behavior Studies by
Cover of the book The Septal Nuclei by
Cover of the book High-Functioning Individuals with Autism by
Cover of the book Girls at Puberty by
Cover of the book Narrative Development in Adolescence by
Cover of the book Intrinsic Motivation by
Cover of the book Human Adaptation to Extreme Stress by
Cover of the book Serous Cavity Fluid and Cerebrospinal Fluid Cytopathology by
Cover of the book Handbook of Developmental Psychopathology by
Cover of the book The Brain and Regulation of Eye Movement by
Cover of the book HACCP by
Cover of the book Human-Centered e-Business by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy