• Corpus ID: 26678332

Data mining techniques - for marketing, sales, and customer support

  title={Data mining techniques - for marketing, sales, and customer support},
  author={Michael A. Berry and Gordon Linoff},
  booktitle={Wiley computer publishing},
From the Publisher: Data Mining Techniques thoroughly acquaints you with the new generation of data mining tools and techniques and shows you how to use them to make better business decisions. One of the first practical guides to mining business data, it describes techniques for detecting customer behavior patterns useful in formulating marketing, sales, and customer support strategies. While database analysts will find more than enough technical information to satisfy their curiosity… 

Topics from this paper

Overview of Data Mining for Customer Behavior Modeling
This report examines the problems of customer relationship management (CRM) particularly customer segmentation and customer profiling, and how data mining tools are used to support the decision
Issues in Data Mining and Information Retrieval
Data mining, as we use the term, is the exploration and analysis of large quantities of data in order to discover meaningful patterns and rules. For the purposes of this book, we assume that the goal
A Review on Data Mining: Its Challenges, Issues and Applications
Data mining is described as a process of discover or extracting interesting knowledge from large amounts of data stored in multiple data sources such as file systems, databases, data warehouses etc.
An analytic approach to select data mining for business decision
A selection model of data mining algorithms is proposed, which makes algorithm selection faster and reasonable to improve the efficiency of applying data mining tools to solve business problems.
Data Mining and Knowledge Management
The ultimate goal of doing data mining is to find knowledge from data to support user’s decision, therefore, datamining is strongly related with knowledge and knowledge management.
Decision Tree Technique for Customer Retention in Retail Sector
Currently, data mining techniques are used in different areas, and numerous commercial data systems are available. The retail industry is a major application area for data mining techniques, since it
Using Data Mining Techniques for Improving Customer Relationship Management
This investigation focuses on the current automotive maintenance industry in Iran and applies various data mining technologies to partitioning customers to determine the group of potential customers who are more likely to purchase optional services.
Application of data mining tools to hotel data mart on the Intranet for database marketing
This paper presents the data mining process from data extraction to knowledge interpretation and data mining tasks, and corresponding algorithms, and proposes a new marketing strategy that fully utilizes the knowledge resulting from data mining.
Association Rule Mining on Customer’s Data using Frequent Pattern Algorithm
Nowadays, organizations are generating immense amount of data dealing with multiple stakeholders. The collaborative environment and the use of latest technologies in the current market scenario,
Enterprise Data Mining: A Review and Research Directions
Manufacturing enterprise systems and service enterprise systems carry out the bulk of economic activities in any country and in the increasingly connected world. Enterprise data are necessary to