Application of data fusion techniques to direct geographical traceability indicators

Application of Data Mining Techniques for Direct Marketing

This paper presents a case study of data mining modeling techniques for direct marketing. It focuses to three stages of the CRISP-DM process for data mining projects: data preparation, modeling, and evaluation. We address some gaps in previous studies, namely: selection of model hyper-parameters and controlling the problem of under-fitting and over-fitting; dealing with randomness and 'lucky' s...

A Direct Approach to Data Fusion

Vol. XLIII (February 2006), 1– 1 © 2006, American Marketing Association ISSN: 0022-2437 (print), 1547-7193 (electronic) *Zvi Gilula is Adjunct Professor of Statistics, Department of Statistics, Hebrew University (e-mail: [email protected]). Robert E. McCulloch is Sigmund E. Edlestone Professor of Econometrics and Statistics (e-mail: [email protected]), and Peter E. Rossi i...

Fuzzy Clustering Approach Using Data Fusion Theory and its Application To Automatic Isolated Word Recognition

 In this paper, utilization of clustering algorithms for data fusion in decision level is proposed. The results of automatic isolated word recognition, which are derived from speech spectrograph and Linear Predictive Coding (LPC) analysis, are combined with each other by using fuzzy clustering algorithms, especially fuzzy k-means and fuzzy vector quantization. Experimental results show that the...

the clustering and classification data mining techniques in insurance fraud detection:the case of iranian car insurance

با توجه به گسترش روز افزون تقلب در حوزه بیمه به خصوص در بخش بیمه اتومبیل و تبعات منفی آن برای شرکت های بیمه، به کارگیری روش های مناسب و کارآمد به منظور شناسایی و کشف تقلب در این حوزه امری ضروری است. درک الگوی موجود در داده های مربوط به مطالبات گزارش شده گذشته می تواند در کشف واقعی یا غیرواقعی بودن ادعای خسارت، مفید باشد. یکی از متداول ترین و پرکاربردترین راه های کشف الگوی داده ها استفاده از ر...

extreMe lateral and direCt lateral Fusion teChniques