Abstract:
The objective of this paper is to inform the information system manager and business
analyst about the role of machine learning techniques in business data mining. Data mining
is a fast growing application area in business. Machine learning techniques are used for
data analysis and pattern discovery and thus can play a key role in the development of data
mining application. Understanding the strengths and weaknesses of these techniques in the
context of business is useful in selecting an appropriate method for a specific application
.The paper , therefore , provides an overview of machine learning techniques and discusses
their strengths weaknesses in the context of mining business data. A survey of data mining application in business is provided to investigation the use of learning techniques . Rule
induction was found to be most popular, followed by neural networks and case – based
reasoning . Most application were found to be most popular .
