UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRCS06047


Registration ID:
211820

Page Number

209-213

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Title

Survey on Mining Frequent Item Sets Over Uncertain Databases

Abstract

Uncertain data mining frequent itemsets over uncertain databases have attracted much attention due to its wide applications. In uncertain databases, instead of counting fixed occurrence of item sets, we use the support of an item set as random variable. The data modified from sensor tracking system and data integration rigorousness is highly ambiguous. One of the major issues is extracting frequent itemset from a large uncertain database, interpreted under the Possible World Semantics. The mining process can be modeled as a Poisson binomial distribution by observing that an uncertain database contains an exponential number of possible worlds. Mining such manifold itemset from generous ambiguous database illustrated under possible world semantics is a crucial dispute. Approximated algorithm is established to ascertain manifold itemset from generous ambiguous database exceedingly. A data trimming framework is used to improve mining efficiency. The data trimming technique can achieve significant savings in both CPU cost and I/O cost. We focus on the problem of mining frequent itemsets (MFI) over uncertain databases. In order to solve the MFI problem over uncertain databases, we use an efficient mining algorithm, named U-Apriori. Extensive experiments on both real and synthetic datasets verify that this algorithm is effective and efficient.

Key Words

Existential uncertain data, Uncertain probabilistic, aggregation, Regression, Data Mining.

Cite This Article

"Survey on Mining Frequent Item Sets Over Uncertain Databases ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.209-213, May 2019, Available :http://www.jetir.org/papers/JETIRCS06047.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Survey on Mining Frequent Item Sets Over Uncertain Databases ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp209-213, May 2019, Available at : http://www.jetir.org/papers/JETIRCS06047.pdf

Publication Details

Published Paper ID: JETIRCS06047
Registration ID: 211820
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 209-213
Country: -, --, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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