Titlebook: E-Commerce and Intelligent Methods; Javier Segovia,Piotr S. Szczepaniak,Marian Niedzwi Book 2002 Springer-Verlag Berlin Heidelberg 2002 DO

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入會

CRM in e-Business: a Client’s Life Cycle Model Based on a Neural Networkt methods both to gather and to analyse information. Information gathered in the web represents only the first step in the problem. Integrating that information with information supplied by external providers is a need if the users behaviour is to be studied. In this paper we present a new approach

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刺激

Data Mining for Diverse E-Commerce Applicationsional data with customers, suppliers, and other channel partners. Emerging data mining techniques enable organizations to prioritize and structure information from these warehouses. Through its discovery of changes, associations, rules, anomalies, and patterns, data mining can lead to significant bu

刺激

Extreme Sample Classification and Credit Card Fraud Detectionations over fraudulent ones. The second one is the similarity of many bad operations to legal ones. In other words, to catch a fraudulent operation is akin to find needles in a haystack, only that some needles are in fact hay! In this type of problems (that we term below as Extreme Sample problems)

雜役

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DIS

Data Mining in Marketing Using Bayesian Networks and Evolutionary Programming new knowledge to improve managerial decision making in marketing. This study proposes an innovative approach to data mining using Bayesian Networks and evolutionary programming and applies the methods to marketing data. The results suggest that this approach to knowledge discovery can generate supe