Data Fusion Through Statistical Matching (Classic Reprint) - Softcover

Inhaltsangabe

This book delves into the challenges of data availability in data mining, presenting data fusion as a solution. It begins by explaining data fusion as a way to combine information from different sources into a single data set for further data mining. The author highlights that while significant work has been done on data fusion in the past, most research has been performed outside the data mining community. The book introduces basic terminology, focusing on the statistical matching approach. It distinguishes between internal and external evaluation, providing a comprehensive understanding of data fusion evaluation techniques. A real-world case study is presented, demonstrating the practical application of data fusion in the context of database marketing. The author emphasizes the significance of evaluating the quality of the fusion to ensure it is valid and useful for further analysis. The work concludes by discussing the importance of data fusion as both a key enabling technology and an interesting research topic for data mining. It highlights future research opportunities and the potential for incorporating data fusion into predictive modeling methods. This book offers valuable insights for researchers and practitioners in data mining, providing a deeper understanding of data fusion and its applications in enhancing the value of data mining.

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