CONCEPTUAL FRAMEWORK ON ISSUES AND CHALLENGES IN DATA MINING

Authors:

RAKHI MATHUR DR. GANESH GOPAL VARSHNEY

Page No: 292-298

Abstract:

Data mining is regarded as an important subfield in the information board and is the most significant information step for disclosure in the process of databases. Over the following decades, data mining research would continue to advance in both business and learning associations. This survey report looks into how data mining methods have been developed to aid in the information-gathering process for boarding. Experts in many different sectors have a remarkable amount of passion for data mining. To understand better behavior of consumers, improve the administration offered, and expand business prospects, many developing applications in information-giving services like data warehousing and online benefits—also call for different data mining methodologies. A large amount of data is shown, picked, and investigated to find potentially useful knowledge. The tools needed to understand the data mining process are discussed in this article.

Description:

Data Mining, Learning, Information, Warehousing

Volume & Issue

Volume-10,ISSUE-6

Keywords

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