Applications of Data Mining to Electronic Commerce

2001
ISBN: 978-0-7923-7303-2
Verlag: Springer

Buch, Englisch, 153 Seiten, Format (B × H): 162 mm x 243 mm, Gewicht: 349 g

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

Autoren/Hrsg.

Kohavi, Ronny

Provost, Foster

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Informationstheorie, Kodierungstheorie
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management E-Commerce, E-Business, E-Marketing
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein EDV & Informatik: Ausbildung & Berufe
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Zeichen- und Zahlendarstellungen

Inhaltsverzeichnis

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.