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  Published Paper Details:

  Paper Title

MINING COMPETITORS FROM LARGE UNSTRUCTURED DATASETS USING CMINER

  Authors

  Mrs. T. S. UMAMAHESWARI,  Dr. P. Sumathi, MCA, MPhil.,PhD,  Dr. S. Babu

  Keywords

Mining Competitors from Large Unstructured Datasets Using CMiner

  Abstract


In the present world Completive business, the achievement is totally in light of the capacity to make a thing more engaging clients than the opposition. Huge information is a trendy expression that is utilized for an expansive size information which incorporates organized information, semi-organized information and unstructured information. The span of huge information is large to the point, that it is almost difficult to gather, process and store information utilizing conventional database administration framework and programming methods. In this way, huge information requires diverse methodologies and devices to break down information. The way toward gathering, putting away and breaking down expansive measure of information to discover obscure examples is called as large information investigation. Here we show a formal meaning of the intensity between two things, in light of the market fragments that they can both cover. Our assessment of aggressiveness uses client surveys, a plenteous wellspring of data that is accessible in an extensive variety of spaces. We display proficient strategies for assessing intensity in huge survey datasets and address the characteristic issue of finding the best k contenders of a given thing. At long last, we assess the nature of our outcomes and the versatility of our approach utilizing various datasets from various areas.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT1704115

  Paper ID - 170368

  Page Number(s) - 857-864

  Pubished in - Volume 5 | Issue 4 | November 2017

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Mrs. T. S. UMAMAHESWARI,  Dr. P. Sumathi, MCA, MPhil.,PhD,  Dr. S. Babu ,   "MINING COMPETITORS FROM LARGE UNSTRUCTURED DATASETS USING CMINER", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.5, Issue 4, pp.857-864, November 2017, Available at :http://www.ijcrt.org/papers/IJCRT1704115.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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