A Novel Method Improvement of Rapid Miner for the Data Mining Applications
Rohan Nayak1, S. Dinesh2, S. Thirunavukkarasu3
1Rohan Nayak, Department of Information Technology, Bharath Institute of Higher Education and Research, Tambaram, India.
2S. Dinesh, Department of Information Technology, Bharath Institute of Higher Education and Research, Tambaram, India.
3S.Thirunavukkarasu, Department of Information Technology, Bharath Institute of Higher Education and Research, Tambaram, India.
Manuscript received on 04 July 2019 | Revised Manuscript received on 17 July 2019 | Manuscript Published on 23 August 2019 | PP: 457-460 | Volume-8 Issue-9S3 August 2019 | Retrieval Number: I30850789S319/2019©BEIESP | DOI: 10.35940/ijitee.I3085.0789S319
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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: Information mining is a well known mechanical advancement that changes over heaps of information into useful learning, which can help the information owners or clients settle on educated decisions and take sharp developments for their own favorable position. Quick Miner is an information science programming stage created by the organization of a similar name that gives a coordinated situation to information readiness, AI, profound learning, content mining, and prescient investigation. It is utilized for business and business applications just as for research, instruction, preparing, quick prototyping, and application improvement and supports all means of the AI procedure including information readiness, results perception, model approval and advancement.
Keywords: Extraction, Transformation, Open Source Tools, data preparation.
Scope of the Article: Information and Data Security