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Data Mining for Business Applications

Data Mining for Business Applications presents state-of-the-art data mining research and development related to methodologies, techniques, approaches and successful applications. The contributions of this book mark a paradigm shift from "data-centered pattern mining" to "domain-driven...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Cao, Longbing. (Editor), Yu, Philip S. (Editor), Zhang, Chengqi. (Editor), Zhang, Huaifeng. (Editor)
Format: Electronic
Language:English
Published: Boston, MA : Springer US, 2009.
Subjects:
Computer science.
Data mining.
Information storage and retrieval systems.
Electronic data processing.
Artificial intelligence.
Computer Science.
Data Mining and Knowledge Discovery.
Information Storage and Retrieval.
Artificial Intelligence (incl. Robotics).
Computing Methodologies.
Models and Principles.
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-0-387-79420-4

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https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-0-387-79420-4

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