A STUDY ON EFFICIENT DATA MINING APPROACH ON COMPRESSED TRANSACTION

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Dr. vidhya rani
Dr. vidhya rani
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elizabeth shanthi
elizabeth shanthi
α Avinashilingam University

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A STUDY ON EFFICIENT DATA MINING APPROACH ON COMPRESSED TRANSACTION

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Abstract

Data mining can be viewed as a result of the natural evolution of information technology. The spread of computing has led to an explosion in the volume of data to be stored on hard disks and sent over the Internet. This growth has led to a need for data compression, that is, the ability to reduce the amount of storage or Internet bandwidth required to handle the data. This paper analysis the various data mining approaches which is used to compress the original database into a smaller one and perform the data mining process for compressed transaction such as M2TQT,PINCER-SEARCH algorithm, APRIORI & ID3 algorithm, TM algorithm, AIS & SETM, CT-Apriori algorithm, CBMine, CT-ITL algorithm, FIUT-Tree. Among the various techniques M2TQT uses the relationship of transactions to merge related transactions and builds a quantification table to prune the candidate item sets which are impossible to become frequent in order to improve the performance of mining association rules. Thus M2TQT is observed to perform better than existing approaches.

References

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. vidhya rani. 1970. \u201cA STUDY ON EFFICIENT DATA MINING APPROACH ON COMPRESSED TRANSACTION\u201d. Unknown Journal GJCST Volume 11 (GJCST Volume 11 Issue 14): .

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GJCST Volume 11 Issue 14
Pg. 41- 45
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v1.2

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August 2, 2011

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en
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Data mining can be viewed as a result of the natural evolution of information technology. The spread of computing has led to an explosion in the volume of data to be stored on hard disks and sent over the Internet. This growth has led to a need for data compression, that is, the ability to reduce the amount of storage or Internet bandwidth required to handle the data. This paper analysis the various data mining approaches which is used to compress the original database into a smaller one and perform the data mining process for compressed transaction such as M2TQT,PINCER-SEARCH algorithm, APRIORI & ID3 algorithm, TM algorithm, AIS & SETM, CT-Apriori algorithm, CBMine, CT-ITL algorithm, FIUT-Tree. Among the various techniques M2TQT uses the relationship of transactions to merge related transactions and builds a quantification table to prune the candidate item sets which are impossible to become frequent in order to improve the performance of mining association rules. Thus M2TQT is observed to perform better than existing approaches.

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A STUDY ON EFFICIENT DATA MINING APPROACH ON COMPRESSED TRANSACTION

Dr. vidhya rani
Dr. vidhya rani Avinashilingam University
elizabeth shanthi
elizabeth shanthi

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