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
Effective of Combined MiningTechniques with Kinship Search in Complex Data
Authors Name:
Narsheedha Beegum
Unique Id:
IJSDR1603001
Published In:
Volume 1 Issue 3, March-2016
Abstract:
Enterprise data mining applications often involve complex data such as multiple large heterogeneous data sources, users preferences, and business impact. In such situations, a single method or one-step mining is often limited in discoveringinformative knowledge. Mining complex data causes more space complexity and time complexity. It is crucial to develop effective approaches for mining patterns combining necessary information. The recent years have seen increasing efforts on mining more informative patterns, e.g., integrating frequent pattern mining with classifications to generate frequent pattern-based classifiers. The project proposes combined mining as a general approach, rather than presenting a specific algorithm. Combined mining is a framework for mining informative patterns by combining components from either multiple data sets or multiplefeatures or by multiple methods on demand. Proposed general frameworks, paradigms, and basic processes for multi-feature combined mining, multisource combined mining, and multimethod combined mining. The project implements combined mining approach with kinship search technique to generate the effective patterns in medical field. By observing informative patterns acquired from the above techniques efficient actionable decision making is possible.
Keywords:
Combined Mining, Pattern Mining, Data set, Item
Cite Article:
"Effective of Combined MiningTechniques with Kinship Search in Complex Data", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 3, page no.1 - 6, March-2016, Available :http://www.ijsdr.org/papers/IJSDR1603001.pdf
Downloads:
000337354
Publication Details:
Published Paper ID: IJSDR1603001
Registration ID:160040
Published In: Volume 1 Issue 3, March-2016
DOI (Digital Object Identifier):
Page No: 1 - 6
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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