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Mining of Uncommon Value Sets From the Transactional Data Using Proposed Algorithm

Surbhi Singh1 , Renu Jain2

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-1 , Page no. 361-364, Jan-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i1.361364

Online published on Jan 31, 2019

Copyright © Surbhi Singh, Renu Jain . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Surbhi Singh, Renu Jain, “Mining of Uncommon Value Sets From the Transactional Data Using Proposed Algorithm,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.1, pp.361-364, 2019.

MLA Style Citation: Surbhi Singh, Renu Jain "Mining of Uncommon Value Sets From the Transactional Data Using Proposed Algorithm." International Journal of Computer Sciences and Engineering 7.1 (2019): 361-364.

APA Style Citation: Surbhi Singh, Renu Jain, (2019). Mining of Uncommon Value Sets From the Transactional Data Using Proposed Algorithm. International Journal of Computer Sciences and Engineering, 7(1), 361-364.

BibTex Style Citation:
@article{Singh_2019,
author = {Surbhi Singh, Renu Jain},
title = {Mining of Uncommon Value Sets From the Transactional Data Using Proposed Algorithm},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2019},
volume = {7},
Issue = {1},
month = {1},
year = {2019},
issn = {2347-2693},
pages = {361-364},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3512},
doi = {https://doi.org/10.26438/ijcse/v7i1.361364}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i1.361364}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3512
TI - Mining of Uncommon Value Sets From the Transactional Data Using Proposed Algorithm
T2 - International Journal of Computer Sciences and Engineering
AU - Surbhi Singh, Renu Jain
PY - 2019
DA - 2019/01/31
PB - IJCSE, Indore, INDIA
SP - 361-364
IS - 1
VL - 7
SN - 2347-2693
ER -

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Abstract

The Mining task produce the various examples of values from the bunch of information Visit value sets mining is a critical information mining assignment to find the covered up, fascinating example of things in the set of Data. At times uncommon values are more vital because it convey valuable data. Uncommon values seem as it were at the point when edge is set to low. Uncommon value sets are moreover critical in discovering relationship between inconsistently bought trade things, examination of various medical reports which help in decision making. Uncommon values extraction from the transactional data is the difficult task in nature. For the extraction of uncommon values from the large transactional data some critical issues happen like (i) Extraction of recognize intriguing uncommon examples. (ii) The most effective method to productively find them in large transactional data. This manuscript represents the effective technique for extraction uncommon values from the large changing in nature Transactional data.

Key-Words / Index Term

Threshold, Profit, uncomman value sets, visit value set, candidate value set

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