Data Mining Architecture – Data Mining Types and Techniques

Dr. Akhilesh Saini

Data Mining Architecture – Data Mining Types and Techniques

Authors: Dr. Akhilesh Saini

Unique Paper ID: 153034
Volume: 8
Issue: 5
PageNo: 310-318

Keywords: No Keywords Found

Abstract:
Data mining architecture is for memory-based data mining system. We can say it is a process of extracting interesting knowledge from large amounts of data. ThatÂ is storedÂ in many data sources. Such as file systems, databases, data warehouses. Also, knowledge used to contributes a lot of benefits to business and individual. Data mining offers tools for the discovery of relationship, patterns and knowledge from a massive database in order to guide decisions about future activities. Applications from various domains have adopted this technique to perform data analysis efficiently. Several issues need to be addressed when such techniques apply on data these are bulk at size and geographically distributed at various sites. In this paper we describe system architecture for a scalable and a portable distributed data mining application. The system contains modules for secure distributed communication, database connectivity, organized data management and efficient data analysis for generating a global mining model. Performance evaluation of the system is also carried out and presented. Certified Data Mining and Warehousing. Data and architecture design. Data architecture in Information Technology is composed of models, policies, rules or standards that govern which data is collected, and how it is stored, arranged, integrated, and put to use in data systems and in organizations.

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ISSN: 2349-6002
Volume: 8
Issue: 5
PageNo: 310-318

Data Mining Architecture – Data Mining Types and Techniques

Available:https://ijirt.org/Article?manuscript=153034

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UGC Approved
Journal no 47859

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