Data Mining and Data Fusion for Enhanced Decision Support

Shiraj Khan, Auroop R. Ganguly and Amar Gupta
Additional contact information
Shiraj Khan: University of South Florida
Auroop R. Ganguly: Oak Ridge National Laboratory, Oak
Amar Gupta: University of Arizona

Chapter 27 in Handbook on Decision Support Systems 1, 2008, pp 581-608 from Springer

Abstract: Abstract The process of data mining converts information to knowledge by using tools from the disciplines of computational statistics, database technologies, machine learning, signal processing, nonlinear dynamics, process modeling, simulation, and allied disciplines. Data mining allows business problems to be analyzed from diverse perspectives, including dimensionality reduction, correlation and co-occurrence, clustering and classification, regression and forecasting, anomaly detection, and change analysis. The predictive insights generated from data mining can be further utilized through real-time analysis and decision sciences, as well as through human-driven analysis based on management by exceptions or objectives, to generate actionable knowledge. The tools that enable the transformation of raw data to actionable predictive insights are collectively referred to as decision support tools. This chapter presents a new formalization of the decision process, leading to a new decision superiority model, partially motivated by the joint directors of laboratories (JDL) data fusion model. In addition, it examines the growing importance of data fusion concepts.

Keywords: Data Mining; Data Fusion; Business Intelligence; Local Linear Embedding; Nonlinear Dimensionality Reduction (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ihichp:978-3-540-48713-5_27

Ordering information: This item can be ordered from
http://www.springer.com/9783540487135

DOI: 10.1007/978-3-540-48713-5_27

Access Statistics for this chapter

More chapters in International Handbooks on Information Systems from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().