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

Authors

  • Singh S Department of Computer Science and engineering, Jiwaji University, Gwalior, India
  • Jain R Department of Mathematics and Applied Science, Jiwaji University, Gwalior, India

DOI:

https://doi.org/10.26438/ijcse/v7i1.361364

Keywords:

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

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.

References

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Published

2019-01-31
CITATION
DOI: 10.26438/ijcse/v7i1.361364
Published: 2019-01-31

How to Cite

[1]
S. Singh and R. Jain, “Mining of Uncommon Value Sets From the Transactional Data Using Proposed Algorithm”, Int. J. Comp. Sci. Eng., vol. 7, no. 1, pp. 361–364, Jan. 2019.

Issue

Vol. 7 No. 1 (2019): IJCSE January Edition

Section

Research Article

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