PTP-Mine: Range Based Mining of Transitional Patterns in Transaction Databases

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P.Shyamala
P.Shyamala
σ
D.Sujatha
D.Sujatha
α Jawaharlal Nehru Technological University, Hyderabad

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PTP-Mine: Range Based Mining of Transitional Patterns in Transaction Databases

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Abstract

Transaction database is a collection of transactions along with the related time stamps. These transactions are defined using some prototypes. They are called as the Transitional patterns that denote the vibrant nature of the frequent patterns in the database. The considerable high points for the transaction database are the timestamps also called as time durations. They are the points that have the alteration in the recurrence of the prototypes. There is majorly couple of stages in existing TP-Mine algorithm. The initial stage is to find out the frequent patterns and the second stage is to discover Transitional patterns or the styles and the significant milestones. These patterns consist of the two kinds of the styles likely the positive one and the negative one. In the previous time cases the effort that was made on the research was to build up the algorithms by planning the total series of the transitional patterns. In our paper we consider that the alterations made in the consequent period regarding the total concept of database is not noteworthy. So for this reason we have put forward an entirely latest transitional patterns methodology called periodical transitional pattern mining. The experimental outputs are appealing and apparent those were produced by this periodical transitional pattern mining and has high importance that when evaluated utilizing the present patterns.

References

18 Cites in Article
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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

P.Shyamala. 1970. \u201cPTP-Mine: Range Based Mining of Transitional Patterns in Transaction Databases\u201d. Unknown Journal GJCST Volume 12 (GJCST Volume 12 Issue 2): .

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v1.2

Issue date

February 6, 2012

Language
en
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Transaction database is a collection of transactions along with the related time stamps. These transactions are defined using some prototypes. They are called as the Transitional patterns that denote the vibrant nature of the frequent patterns in the database. The considerable high points for the transaction database are the timestamps also called as time durations. They are the points that have the alteration in the recurrence of the prototypes. There is majorly couple of stages in existing TP-Mine algorithm. The initial stage is to find out the frequent patterns and the second stage is to discover Transitional patterns or the styles and the significant milestones. These patterns consist of the two kinds of the styles likely the positive one and the negative one. In the previous time cases the effort that was made on the research was to build up the algorithms by planning the total series of the transitional patterns. In our paper we consider that the alterations made in the consequent period regarding the total concept of database is not noteworthy. So for this reason we have put forward an entirely latest transitional patterns methodology called periodical transitional pattern mining. The experimental outputs are appealing and apparent those were produced by this periodical transitional pattern mining and has high importance that when evaluated utilizing the present patterns.

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PTP-Mine: Range Based Mining of Transitional Patterns in Transaction Databases

P.Shyamala
P.Shyamala Jawaharlal Nehru Technological University, Hyderabad
D.Sujatha
D.Sujatha

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