INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Vineeta Prakaulya
, Prof. Roopesh Sharma , Upendra Singh
Unique Id:
IJSDR1709041
Published In:
Volume 2 Issue 9, September-2017
Abstract:
The tremendous significantly changes happens step by step in specific fields because of the improvement of cutting edge innovation and nature one such among them is precipitation. The precipitation is the part of the horticulture and unfits to comprehend the rainstorm condition, predicating the harvest yield and the dirt ripeness. Information mining is the strategies used to remove the learning from the arrangement of data. This paper gives an overview of various information mining procedures being utilized as a part of climate expectation or determining which helps the rancher for yield commendable gainful and support the dirt richness, for example, manufactured sustain forward neural systems (ANNs), fluffy induction framework, choice tree strategy, time arrangement investigation, learning vector Quantization (LVQ) and bi clustering method.
Keywords:
Data mining, agribusiness, soil Fertility, trim yield, ANNs, FIS, LVQ, bi clustering
Cite Article:
"A Review of Data Mining Techniques", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 9, page no.251 - 254, September-2017, Available :http://www.ijsdr.org/papers/IJSDR1709041.pdf
Downloads:
000337067
Publication Details:
Published Paper ID: IJSDR1709041
Registration ID:170749
Published In: Volume 2 Issue 9, September-2017
DOI (Digital Object Identifier):
Page No: 251 - 254
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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