Data Mining and Decision Support: Integration and Collaboration

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.Additional ISBNs9781402073885, 9781461350040Data Mining and Decision Support: Integration and Collaboration 1st Edition is written by David B. Fogel; Dunja Mladenic; Nada Lavra? and published by Springer. ISBNs for Data Mining and Decision Support are 9781461502869, 1461502861 and the print ISBNs are 9781461502869, 1461502861. Additional ISBNs include 9781402073885, 9781461350040.