Logo
  • Home
  • About Us
    • Aim and Scope
    • Research Area
    • Impact Factor
    • Indexing
  • For Authors
    • Authors Guidelines
    • How to publish paper?
    • Download Paper format
    • Submit Manuscript
    • Processing Charges
    • Download Copyrights Form
    • Submit Payment-Copyrights
  • Archives
    • Current Issues
    • Past Issues
    • Conference Issues
    • Special Issues
    • Advance Search
  • IJARIIE Board
    • Join as IJARIIE Board
    • Advisory Board
    • Editorial Board
    • Sr. Reviewer Board
    • Jr. Reviewer Board
  • Proposal
    • Conferece Proposal
    • Special Proposal
    • Faqs
  • Contact Us
  • Payment Detail

Call for Papers:Vol.9 Issue.5

Submission
Last date
30-Oct-2023
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-9,Issue-5. 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

  • How to Publish Paper
  • Submit Manuscript
  • Processing Charges
  • Submit Payment

Archives

  • Current Issue
  • Past Issue

IJARIIE Board

  • Member Of Board
  • Join As Board

Downloads

  • Authors Guidelines
  • Manuscript Template
  • Copyrights Form

Android App

Download IJARIIE APP
  • Authors
  • Abstract
  • Citations
  • Downloads
  • Similar-Paper

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
ATTENDANCE USING FACIAL RECOGNITION SYSTEMComputer EngineeringAmith K V Download
REVIEW ON EMBEDDED WEB TECHNOLOGY AND INDUSTRIAL COMMUNICATIONTECHNOLOGY Bharath Download
Search Engine Optimization with Google Updates 2022Computer Science and Engineering DHAMOTHIRAN V Download
A Review Paper on Networking TopologiesComputer ScienceSanjay GK Download
Deep Neural Networks are used to identify theft of energy in systems for managing energy.MCAShubha R Download
Writing Overview on Huge Information about De-duplication of Data in Large Firms using Cloud ComputingComputer Science & Engineering Mohd Naseerruddin Download
Redundancy in Cloud Server De-duplication of Data in Big Data (Hadoop)Computer Science & Engineering Abdul Ahad Afroz Download
Multi-threshold image segmentation based on an improved differential evolutiondata mining Zahid Hussaen Download
OBJECT DETECTION USING CNNMaster Of Computer ApplicationVinay L Download
Working Phenomena DistributerComputer EngineeringM.D Akbar Ali Download
A Three Layer Privacy Preserving Cloud Storage SchemeComputer EngineeringSaud Ahmed Khan Download
Plant Disease Prediction using the Internet Of Things. (IOT) and Machine Learning - Blister Blight in the Tea Plant.MCA (MASTER OF COMPUTER APPLICATION)Simran M Download
Cottage WorksMaster of Computer ApplicationSushma K S Download
A SURVEY OF DONOR CONNECT ANDROID APPLICATIONMaster of Computer ApplicationPreethi N.R Download
E LEARNING MANAGEMENT SYSTEM USING DJANGO FRAMEWORKMASTER OF COMPUTER APPLICATIONARUNA V Download
12
For Authors
  • Submit Paper
  • Processing Charges
  • Submit Payment
Archive
  • Current Issue
  • Past Issue
IJARIIE Board
  • Member Of Board
  • Join As Board
Privacy and Policy
Follow us

Contact Info
  • +91-8401209201 (India)
  • +86-15636082010 (China)
  • ijariiejournal@gmail.com
  • M-20/234 Ami Appt,
    Nr.Naranpura Tele-Exch,
    Naranpura,
    Ahemdabad-380063
    Gujarat,India.
Copyright © 2023. IJARIIE. All Rights Reserved.