NEERAJ BHARGAVA1, RAJEEV ARYA2, ANIL RAJPUT3 and ATIF AZIZ4

¹Department of Computer Science, School of Engineering & System Sciences, M.D.S. University, Ajmer, Rajasthan (INDIA)
²Department of Mechanical Engineering Truba college of Science &Technology Bhopal (INDIA)
³Department of Mathematics and Computer Science Government college Sehore (INDIA)
⁴Department of Mechanical Engineering Truba Institute of Engineering and Information Technology Bhopal (INDIA)

data mining, knowledge management

July 2012

The paper reviews the scope of data mining which leads to knowledge management in engineering and science field. A vast change can be brought in the field of engineering design, manufacturing Systems, decision Support Systems, Shop Floor Control and Layout Customer Relationship Management, banking, finance, retail, marketing, insurance, fraud detection, medical sciences, semiconductor industry aerospace industry etc for sustainable development at low cost using artificial intelligence. This can be by implementing the most appropriate data mining and knowledge management software in the organization. This would give competitive advantage to the business over its competitors and also reduce the overall cost of research and development of the organization. Nowadays the market is flooded with enormous number of Data Mining tools (software) and Knowledge Management software. There is need to study and compare the data mining tools. The study would be of helpful recommending a particular type of tool according to the requirement of the organization.

2455-9997 (Online) - 2229-3531 (Print)

Vol.3 - No.1

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