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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Paper Title: Efficient Data Mining for proper Mining Classification using Neural Networks
Authors Name: A.Kalaivani
Unique Id: IJSDR1607049
Published In: Volume 1 Issue 7, July-2016
Abstract: With the development of database, the data volume stored in database increases rapidly and in the large amounts of data much important information is hidden. If the information can be extracted from the database they will create a lot of profit for the organization. The question they are asking is how to extract this value. The answer is data mining. There are many technologies available to data mining practitioners, including Artificial Neural Networks, Genetics, Fuzzy logic and Decision Trees. Many practitioners are wary of Neural Networks due to their black box nature, even though they have proven themselves in many situations. This paper is an overview of artificial neural networks andquestions their position as a preferred tool by data mining practitioners.
Keywords: ANN- Artificial Neural Networks, ESRNN- Extraction of Symbolic Rules from ANN’s, data mining, symbolic rules.
Cite Article: "Efficient Data Mining for proper Mining Classification using Neural Networks", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 7, page no.287 - 290, July-2016, Available :http://www.ijsdr.org/papers/IJSDR1607049.pdf
Downloads: 000101746
Publication Details: Published Paper ID: IJSDR1607049
Registration ID:160633
Published In: Volume 1 Issue 7, July-2016
DOI (Digital Object Identifier):
Page No: 287 - 290
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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