DATA MINING

Data Mining and e-Commerce

Abstract

In this study, we try to explore the concept of “Data Mining” in a holistic context. The main focus of the research is on Data Mining and e-Commerce. The research also analyzes many aspects of data mining. Data mining is the extraction of the related information with respect of the industry usage that can be predicted from the databases. It is one of the most powerful technologies that have the potential to be used by the companies.

Table of Contents

Abstractii

Introduction1

The Stepping Stones of Data Mining2

Types of Data Mining3

Modeling Procedures Used in Data Mining3

Decision Trees3

Rule Induction3

Neural Networks4

Genetic Algorithms4

The Basic Concept of E-Business4

E-Business Concept4

Enhance e-business Through Web Data Mining5

DM in Customer Profiling5

Applications of Data Mining6

Sales/Marketing7

Banking7

Conclusion8

References9

Data Mining and e-Commerce

Introduction

Modern researchers in various fields are confronted by an unprecedented wealth and complexity of data. However, the results available to these researchers through traditional data analysis techniques provide only limited solutions to complex situations. The approach to the huge demand for the analysis and interpretation of these complex data is managed under the name of data mining, or knowledge discovery. Data mining is defined as the process of extracting useful information from large data sets through the use of any relevant data analysis techniques developed to help people make better decisions. These data mining techniques themselves are defined and categorized according to their underlying statistical theories and computing algorithms. This entry discusses these various data mining methods and their applications (Chapelle, 2006, 45-53).

Data mining is the extraction of the related information with respect of the industry usage that can be predicted from the databases. It is one of the most powerful technology that has the potential to be used by the companies to assist them focusing on the information that is important for them to use, they can find the related information in their data warehouse. Data mining has several tools that help and assists the companies to predict the data for their future use, also allow them to find the future trends and behavior to follow for the betterment of the business's future. It allows the business to make use of the data in order to make down to business, and knowledge and technology-driven decisions. Data mining has the automated systems and sets of tools which allow businesses to make use of the potential future analysis that has been offered through the tools of data mining. It moved through the analysis of the past event and happenings that would be previously provided by the tools of decision support system (Zheng, 2001 44-55).

Data mining tools can respond to the businesses questions that previously took much time to resolve, it covers each and every problem and answer the queries in a timely manner so that the potential and proactive decision could be made for the betterment of the business. The data mining polishes the data in order to search the data and the past or future patterns that are hidden, and could find the analytical data that may perhaps be able to be ...