New Patterns And Techniques In Knowledge Discovery Through Data Mining

Authors

  • Tiruveedula Gopi Krishna Faculty of Science, Department of Computer Science, Hoon,Al-Jufra,Sirt University,Libya
  • Dr.Mohamed Abdeldaiem Abdelhadi Sirt University, Hod,Department of Computer Science,Hoon,Al-Jufra,Libya
  • M.Madhusudhana Subramanian Dhammam University, Ex-Lecturer, Dhammam,Saudi Arabia

DOI:

https://doi.org/10.24297/ijmit.v7i1.714

Keywords:

KDD, KDM, OLTP, DATAMINING, OMG, MOLAP, ROLAP, HOLAP, DOLP, WOLAP, Patterns and Techniques

Abstract

The main focus of this paper discussion was on mining and its set of techniques used in an automated approach to exhaustively explore and bring to the surface complex relationships in very large datasets. We discussed how a decision support process can be used to search for patterns of information in data. And also discussed different techniques for finding and describing structural patterns in data as well. Knowledge Discovery is a concept that describes the process of automatically searching large volumes of data for patterns that can be considered knowledge about the data. We discussed all automatic and semi-automatic process of discovering the patterns in data that how it leads to some advantage in businesses to make knowledge driven decisions, which help the company to succeed and compete.

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Published

2013-11-13

How to Cite

Krishna, T. G., Abdelhadi, D. A., & Subramanian, M. (2013). New Patterns And Techniques In Knowledge Discovery Through Data Mining. INTERNATIONAL JOURNAL OF MANAGEMENT &Amp; INFORMATION TECHNOLOGY, 7(1), 947–954. https://doi.org/10.24297/ijmit.v7i1.714

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Section

Articles