Data Mining and Decision Support Integration and Collaboration
Data Mining and Decision Support Integration and Collaboration by Dunja Mladenic, published by Springer US on November 13, 2012, is a softcover reprint of the original 1st edition from 2003. This book explores the interdisciplinary field of data mining, which focuses on identifying patterns in data deemed interesting and valid by users. It also delves into decision support systems designed to assist decision-makers in problem-solving through various data analysis and modeling techniques.
Readers will find a comprehensive examination of how data mining and decision support can be systematically integrated, a topic that has not been extensively addressed in prior research. The book presents a conceptual framework along with methods and tools that facilitate this integration, applying the technology to business challenges in collaborative environments. Covering subjects such as data science, artificial intelligence, and information theory, this edition spans 275 pages and is written in English, making it accessible to a wide audience interested in the intersection of these critical areas.
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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.
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