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Data Mining and Knowledge Discovery in the Organization


Affiliations
1 Anna University of Technology, Coimbatore-641047, Tamil Nadu, India
2 School of Management Sciences, Anna University of Technology, Coimbatore-641047, Tamil Nadu, India
     

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This paper is about the Data. Information and knowledge concepts and the role of extracted information for the organization welfare. Aim is to describes that top level management, Middle level and lower level management takes the help of information for the decision making. Business understanding, data understanding and preparation, modeling, evaluation, and deployment are the main methodology used in analysis. Adopting data mining and warehousing technique will provide good turn over with the overall accuracy in the business. The concept and process of Knowledge Discovery is also discussed. The role of knowledge discovery in the organization is also covered in this paper.

Keywords

Data Mining, Customer Relationship Management (CRM), Knowledge Discovery and Data Mining (KDDM).
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Abstract Views: 236

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  • Data Mining and Knowledge Discovery in the Organization

Abstract Views: 236  |  PDF Views: 3

Authors

C. Muthuvelayutham
Anna University of Technology, Coimbatore-641047, Tamil Nadu, India
T. Sugantha Lakshmi
School of Management Sciences, Anna University of Technology, Coimbatore-641047, Tamil Nadu, India

Abstract


This paper is about the Data. Information and knowledge concepts and the role of extracted information for the organization welfare. Aim is to describes that top level management, Middle level and lower level management takes the help of information for the decision making. Business understanding, data understanding and preparation, modeling, evaluation, and deployment are the main methodology used in analysis. Adopting data mining and warehousing technique will provide good turn over with the overall accuracy in the business. The concept and process of Knowledge Discovery is also discussed. The role of knowledge discovery in the organization is also covered in this paper.

Keywords


Data Mining, Customer Relationship Management (CRM), Knowledge Discovery and Data Mining (KDDM).