Techniques for the Discovery of Patterns Hidden in Large Data Sets and Process Flow of Data Mining
B. Krishna1, Kauda Bhanu Prasad2
1B. Krishna*, Assistant professor, Department of CSE, Vaagdevi College of Engineering, India.
2Kauda Bhanu Prasad, Assistant professor, Department of CSE, Vaagdevi College of Engineering, India.
Manuscript received on November 15, 2019. | Revised Manuscript received on 20 November, 2019. | Manuscript published on December 10, 2019. | PP: 2480-2483 | Volume-9 Issue-2, December 2019. | Retrieval Number: B7064129219/2019©BEIESP | DOI: 10.35940/ijitee.B7064.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Data mining procedures are used to find the concealed or brand new patterns to keep the information. We know that data mining can utilize every sector like service, farming, advertising and marketing etc. There are numerous methods for data mining like clustering, distinction, and so on. There are a variety of techniques and also procedures of data mining which could be used on information to build up a brand new setting to enhance the efficiency of existing data and aid to make the brand-new prophecies on the records. Within this newspaper, our team provide procedures for the discovery of patterns concealed in sizable records sets, paying attention to problems relating to their usefulness, effectiveness, effectiveness, and scalability.
Keywords: Data Mining, Dataset’s, Process Flow
Scope of the Article: Data Mining