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 …

Acquisition and the retention of customers are the top most concerns in today's business
world. The rapid increase of market in every business is leading to higher subscriber base …

Purpose–The purpose of this paper is to explore the influence of knowledge management
capability (KMC) and customer knowledge gaps (CKG) on corporate performance, as well …

Data availability is one of the most important performance factors in cloud storage systems.
To enhance data availability, replication is a common approach to handle the machine …

Customer Relationship Management possess Business Intelligence by incorporating
information acquisition, information storage, and decision support functions to provide …

Data mining (DM) is a new emerging discipline that aims at extracting knowledge from data
using several techniques. DM proved to be useful in business where transactional data …

Abstract Changes in the current competitive environment, increasing simplicity of
penetrating into the competitive market, and rapid growth of information technology are of …

Different new employees often have different wishes to take part in different departments.
Personal wishes are a significant issue in human resources management. Decision makers …

In the global market of today, Customer Relationship Management (CRM) plays a
fundamental role in market-oriented companies to understand customer behaviors, achieve …

A procedure of demand forecasting using data mining techniques is proposed to forecast the
sales amount of new short life-cycle products for an actual food processing enterprise. The …