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Title: :  A Review on Feature Selection Data Stream Mining in Big Data
PaperId: :  3942
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 1 2017
DUI:    16.0415/IJARIIE-3942
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Tupe Kapil ArunAmrutvahini College Of Engineering, Sangamner
Wakchaure M. A.Amrutvahini College Of Engineering, Sangamner

Abstract

Computer Engineering
Big data, Feature selection, Classification, Swarm intelligence, metaheuristics, particle swarm optimization.
Though the Big Data has many challenges that face both commercial IT deployment and academic research communities, the Big Data have many root sources and that are founded on data stream and annoyance of dimensionality. In the field of Big data Network technology with respect to Agile development which handles huge amount of data at a time. The Big data relies on 3V challenges namely, Volume, Variety and Velocity of data. It is generally known that the data coming from various data sources in various formats accumulate continuously together making traditional batch based model infeasible for real time data mining. This is the biggest challenge with the Big Data. As Velocity is one challenge in Big data, the crucial thing is to mine valuable and relevant data. To perform efficient data mining over such high speed data the Big data technology getting importance now a days. The Feature selection technique is used for data stream mining on the fly in Big data. Feature selection has been widely used to minimize the processing load in inducing the mining data model.

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IJARIIE Tupe Kapil Arun, and Wakchaure M. A.. "A Review on Feature Selection Data Stream Mining in Big Data" International Journal Of Advance Research And Innovative Ideas In Education Volume 3 Issue 1 2017 Page 1581-1584
MLA Tupe Kapil Arun, and Wakchaure M. A.. "A Review on Feature Selection Data Stream Mining in Big Data." International Journal Of Advance Research And Innovative Ideas In Education 3.1(2017) : 1581-1584.
APA Tupe Kapil Arun, & Wakchaure M. A.. (2017). A Review on Feature Selection Data Stream Mining in Big Data. International Journal Of Advance Research And Innovative Ideas In Education, 3(1), 1581-1584.
Chicago Tupe Kapil Arun, and Wakchaure M. A.. "A Review on Feature Selection Data Stream Mining in Big Data." International Journal Of Advance Research And Innovative Ideas In Education 3, no. 1 (2017) : 1581-1584.
Oxford Tupe Kapil Arun, and Wakchaure M. A.. 'A Review on Feature Selection Data Stream Mining in Big Data', International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 1, 2017, p. 1581-1584. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/A_Review_on_Feature_Selection_Data_Stream_Mining_in_Big_Data_ijariie3942.pdf (Accessed : 17 July 2017).
Harvard Tupe Kapil Arun, and Wakchaure M. A.. (2017) 'A Review on Feature Selection Data Stream Mining in Big Data', International Journal Of Advance Research And Innovative Ideas In Education, 3(1), pp. 1581-1584IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/A_Review_on_Feature_Selection_Data_Stream_Mining_in_Big_Data_ijariie3942.pdf (Accessed : 17 July 2017)
IEEE Tupe Kapil Arun, and Wakchaure M. A., "A Review on Feature Selection Data Stream Mining in Big Data," International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 1, pp. 1581-1584, Jan-Feb 2017. [Online]. Available: https://ijariie.com/AdminUploadPdf/A_Review_on_Feature_Selection_Data_Stream_Mining_in_Big_Data_ijariie3942.pdf [Accessed : 17 July 2017].
Turabian Tupe Kapil Arun, and Wakchaure M. A.. "A Review on Feature Selection Data Stream Mining in Big Data." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 3 number 1 (17 July 2017).
Vancouver Tupe Kapil Arun, and Wakchaure M. A.. A Review on Feature Selection Data Stream Mining in Big Data. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2017 [Cited : 17 July 2017]; 3(1) : 1581-1584. Available from: https://ijariie.com/AdminUploadPdf/A_Review_on_Feature_Selection_Data_Stream_Mining_in_Big_Data_ijariie3942.pdf
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