Efficient Data Mining for proper Mining Classification using Neural Networks
ANN- Artificial Neural Networks, ESRNN- Extraction of Symbolic Rules from ANN’s, data mining, symbolic rules.
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.
"Efficient Data Mining for proper Mining Classification using Neural Networks", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 7, page no.287 - 290, July-2016, Available :https://ijsdr.org/papers/IJSDR1607049.pdf
Volume 1
Issue 7,
July-2016
Pages : 287 - 290
Paper Reg. ID: IJSDR_160633
Published Paper Id: IJSDR1607049
Downloads: 000346998
Research Area: Engineering
Country: Udumalpet, Tamilnadu, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
