Call for Papers:Vol.11 Issue.1

Submission
Last date		 27-Feb-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-1. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

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.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

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, http://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: http://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: http://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: http://ijariie.com/AdminUploadPdf/A_Review_on_Feature_Selection_Data_Stream_Mining_in_Big_Data_ijariie3942.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 7/17/2017 8:24:30 AM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Pneumonia Disease Detection SystemArtificial intelligence and machine learningRajnesh Rajpoot Download
LEARNING METHODS: DEFINITIONS, COMPARISONS, AND RESEARCH BASES INDUCTIVE TEACHINGComputer Engginering Prof: Datir Anil Dadasaheb Download
Excellent communication skills lead to academic achievement, professional development, and creative. Contributions to the area of EngineeringComputer Engginering Prof: Kawade Ajay Vilasarao 1 Download
Object Detection Using -AIComputer EngineeringAditya Shinde Download
Malware DetectionComputer EngineeringAmit Dixit Download
Autonomous Drone Technology in Underground Mining: A Review of Current Trends and Future DirectionsScience and TechAbubakar Hussaini Download
A Review Paper on Diffuse ReflectionComputer ScienceDr.Pradeep V Download
Natural language processing in Artificial intelligenceComputer Engineering Mrs Rajeshwari S Download
Recent Developments in the Domain Name SystemComputer EngineeringNihal Download
JAVA FOR MOBILE DEVELOPMENT: A COMPARATIVE ANALYSISCOMPUTER APPLICATIONG.TAMILSELVAN Download
Prediction of Blood Lactate Levels in Children After Cardiac Surgery Using Machine Learning AlgorithmMachine LearningShweta Kiran Thorve Download
A Review on Ad Makers- Creation & Design Advertising CampaignsComputer EngineeringSwapnil Ohol1 Download
DETECTING FACIAL FORGERIES USING NOVEL FREQUENCY CONVOLUTIONAL NEURAL NETWORKComputer ScienceChikati Madhava Rao Download
Detecting Diabetes Early and Classifying Risk with Interpretable Deep Learning ModelsComputer ScienceMohmad Ahmed Ali Download
Enhance Accuracy of Medical Disease Prediction Using Machine Learning TechniquesMachine LearningSandeep Singh Sikarwar Download
12