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.

Sommario

Applications of Data Mining to Electronic Commerce.- Personalization of Supermarket Product Recommendations.- Expert-Driven Validation of Rule-Based User Models in Personalization Applications.- Visualization and Analysis of Clickstream Data of Online Stores for Understanding Web Merchandising.- Data Mining for Measuring and Improving the Success of Web Sites.- E-commerce Recommendation Applications.

Info autore

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.

Riassunto

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 Commerceserves as an excellent reference, providing insight into some of the most challenging research issues in the field.

Dettagli sul prodotto

• Autori: Ron Kohavi
• Con la collaborazione di: Ronny Kohavi (Editore), Provost (Editore), Foster Provost (Editore)
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 11.02.2011
• EAN: 9780792373032
• ISBN: 978-0-7923-7303-2
• Pagine: 153
• Peso: 880 g
• Illustrazioni: 153 p.
• Categorie: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica; Scienze sociali, diritto, economia > Economia > Pubblicità, marketing; B, computer science, Electronic Commerce, Professions, E-commerce: business aspects, e-Commerce/e-business, e-Commerce and e-Business, Data Structures and Information Theory, Computers, Information theory, Information technology: general topics, The Computing Profession, Computer applications in the social and behavioural sciences, Electronic Commerce;Web;data mining;e-commerce