Data Stream Mining: A Review on Windowing Approach

Data Stream Mining: A Review on Windowing Approach

Mr. Pramod S.

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Mr. Pramod S. and O.P Vyas

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α Indian Institute of Information Technology Allahabad

Data Stream Mining: A Review on Windowing Approach

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Abstract

In the data stream model the data arrive at high speed so that the algorithms used for mining the data streams must process them in very strict constraints of space and time. This raises new issues that need to be considered when developing association rule mining algorithms for data streams. So it is important to study the existing stream mining algorithms to open up the challenges and the research scope for the new researchers. In this paper we are discussing different type windowing techniques and the important algorithms available in this mining process.

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

Mr. Pramod S.. 2012. \u201cData Stream Mining: A Review on Windowing Approach\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 12 (GJCST Volume 12 Issue C11): .

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GJCST Volume 12 Issue C11
Pg. 27- 30

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Association Rule Mining Data mining Data Stream Mining Online Data Mining

Submission ReceivedDecember 16, 2011
Peer Review Double Blind
Handling Editor
Accepted January 5, 2012
Published January 15, 2012

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v1.2

Issue date

July 17, 2012

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Article Matrices

Total Score: 101

Country: India

Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering

Authors: Mr. Pramod S. and O.P Vyas (PhD/Dr. count: 0)

View Count (all-time): 241

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Publish Date: 2012 07, Tue

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Total Views: 10367

Total Downloads: 2751

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