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Paper Title: A Technique for mining high utility items from a transaction data base
Authors Name: ANKIT REDWAL , ANIL PATIDAR
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IJRTI_180358
Published Paper Id: IJRTI1807039
Published In: Volume 3 Issue 7, July-2018
DOI:
Abstract: Data Mining, also called knowledge Discovery in Database, is one of the latest research area, which has emerged in response to the Tsunami data or the flood of data, world is facing nowadays. It has taken up the challenge to develop techniques that can help humans to discover useful patterns in massive data. One such important technique is utility mining. This paper will present an updated technique for mining high utility items from a transaction data set. It will be making use of the concept of hash map facility. The data destruction will also be performed.
Keywords: Data Mining, KDD Process, High Utility Mining, Minimum Utility, Hash Map, Data Destruction.
Cite Article: "A Technique for mining high utility items from a transaction data base", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.3, Issue 7, page no.244 - 248, July-2018, Available :http://www.ijrti.org/papers/IJRTI1807039.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI1807039
Registration ID:180358
Published In: Volume 3 Issue 7, July-2018
DOI (Digital Object Identifier):
Page No: 244 - 248
Country: Indore, Madhya Pradesh, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI1807039
Published Paper PDF: https://www.ijrti.org/papers/IJRTI1807039
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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