Despite the importance of data mining techniques to customer relationship management
(CRM), there is a lack of a comprehensive literature review and a classification scheme for it …

Technology management is a process, which includes planning, directing, control and
coordination of the development and implementation of technological capabilities to shape …

This paper gives a survey of contrast set mining (CSM), emerging pattern mining (EPM), and
subgroup discovery (SD) in a unifying framework named supervised descriptive rule …

Purpose–The purpose of the paper is to distinguish features of m‐commerce from those of e‐
commerce and identify factors to influence customer satisfaction (m‐satisfaction) and loyalty …

Obtaining sufficient competitive intelligence is a critical factor in helping business managers
gain and maintain competitive advantages. Patent data is an important source of competitive …

Artificial intelligence (AI) is the latest designing and interacting technology used to support
organizations in the competitive electronic commerce (E-commerce) context. The studies on …

During the past decade, there have been a variety of significant developments in data
mining techniques. Some of these developments are implemented in customized service to …

Research on warehousing systems has gained interest since the 1980s, reflecting the fact
that supply chain management has pursued a demand-driven organization with high …

User-generated content (UGC) based on customer opinions and experiences has
increasingly become a rich resource of business opportunities. This study proposes a …

A Fruitful Field for Researching Data Mining Methodology and for Solving Real-Life
Problems Contrast Data Mining: Concepts, Algorithms, and Applications collects recent …