Kohavi / Provost | Applications of Data Mining to Electronic Commerce | Buch | sack.de

Kohavi / Provost Applications of Data Mining to Electronic Commerce



<em>Nachdrucked from DATA MINING AND KNOWLEDGE DISCOVERY, 5:1-2 </em> 2001, 153 Seiten, Gebunden, Book, Format (B × H): 160 mm x 240 mm, Gewicht: 880 g
ISBN: 978-0-7923-7303-2
Verlag: Springer, Berlin


Kohavi / Provost Applications of Data Mining to Electronic Commerce

Applications of Data Mining to Electronic Commerce brings together in one place important contributions and up-to-date research results in this fast moving area.
Applications of Data Mining to Electronic Commerce serves as an excellent reference, providing insight into some of the most challenging research issues in the field.

Zielgruppe


Research

Weitere Infos & Material


Applications of Data Mining to Electronic Commerce; R. Kohavi, F. Provost. Personalization of Supermarket Product Recommendations; R.D. Lawrence, et al. Expert-Driven Validation of Rule-Based User Models in Personalization Applications; G. Adomavicius, A. Tuzhilin. Visualization and Analysis of Clickstream Data of Online Stores for Understanding Web Merchandising; J. Lee, et al. Data Mining for Measuring and Improving the Success of Web Sites; M. Spiliopoulou, C. Pohle. E-Commerce Recommendation Applications; J.B. Schafer, et al.


Kohavi, Ronny
Foster Provost is Professor and NEC Faculty Fellow at the NYU Stern School of Business where he teaches in the MBA, Business Analytics, and Data Science programs. His award-winning research is read and cited broadly. Prof. Provost has co-founded several successful companies focusing on data science for marketing.


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