Call for Papers:Vol.7 Issue.6

Submission
Last date		 31-Dec-2021
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-7,Issue-6. 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: :  Profile Based Mobile App Classification On Analyzing The App Reviews By Using Contextual Information Of App
PaperId: :  1596
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 2 Issue 1 2016
DUI:    16.0415/IJARIIE-1596
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Ashwini S.SanapAVCOE,Sangamner
Milindkumar B.VaidyaAVCOE,Sangamner

Abstract

Computer Enggineering
Mobile app classification, Risk, Malware, Web knowledge, enriched contextual information, data mining, android app.
Today, use of mobile devices is increasing rapidly day by day; huge numbers of mobile apps are coming into the market. Mobile apps are coming from different vendors. These apps are useful and effective for various purposes like making it easy and time efficient for the user to select the required app, understanding the user preferences that motivates an intelligent personalized services, etc. Website and apps can be managed through the smart phones. Mobile website display similarly as other websites those are browser-based HTML pages are linked together and accessed via the Internet. Effective classification of mobile apps is required for which there is a need to have detailed information about the app. However this is non-incidental task as limited contextual information is available. As the information available about the apps is very less and unused, classification of the apps can also be considered as coming into the category of classification of less and unused text. Different methods are available to classify the less and unused text are present, which can be used for classification of the mobile apps that are not effectively worked to gain the proper contextual information of mobile apps.

Citations

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

IJARIIE Ashwini S.Sanap, and Milindkumar B.Vaidya. "Profile Based Mobile App Classification On Analyzing The App Reviews By Using Contextual Information Of App" International Journal Of Advance Research And Innovative Ideas In Education Volume 2 Issue 1 2016 Page 468-471
MLA Ashwini S.Sanap, and Milindkumar B.Vaidya. "Profile Based Mobile App Classification On Analyzing The App Reviews By Using Contextual Information Of App." International Journal Of Advance Research And Innovative Ideas In Education 2.1(2016) : 468-471.
APA Ashwini S.Sanap, & Milindkumar B.Vaidya. (2016). Profile Based Mobile App Classification On Analyzing The App Reviews By Using Contextual Information Of App. International Journal Of Advance Research And Innovative Ideas In Education, 2(1), 468-471.
Chicago Ashwini S.Sanap, and Milindkumar B.Vaidya. "Profile Based Mobile App Classification On Analyzing The App Reviews By Using Contextual Information Of App." International Journal Of Advance Research And Innovative Ideas In Education 2, no. 1 (2016) : 468-471.
Oxford Ashwini S.Sanap, and Milindkumar B.Vaidya. 'Profile Based Mobile App Classification On Analyzing The App Reviews By Using Contextual Information Of App', International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 1, 2016, p. 468-471. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Profile_Based_Mobile_App_Classification_On_Analyzing_The_App_Reviews_By_Using_Contextual_Information_Of_App_ijariie1596.pdf (Accessed : ).
Harvard Ashwini S.Sanap, and Milindkumar B.Vaidya. (2016) 'Profile Based Mobile App Classification On Analyzing The App Reviews By Using Contextual Information Of App', International Journal Of Advance Research And Innovative Ideas In Education, 2(1), pp. 468-471IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Profile_Based_Mobile_App_Classification_On_Analyzing_The_App_Reviews_By_Using_Contextual_Information_Of_App_ijariie1596.pdf (Accessed : )
IEEE Ashwini S.Sanap, and Milindkumar B.Vaidya, "Profile Based Mobile App Classification On Analyzing The App Reviews By Using Contextual Information Of App," International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 1, pp. 468-471, Jan-Feb 2016. [Online]. Available: http://ijariie.com/AdminUploadPdf/Profile_Based_Mobile_App_Classification_On_Analyzing_The_App_Reviews_By_Using_Contextual_Information_Of_App_ijariie1596.pdf [Accessed : ].
Turabian Ashwini S.Sanap, and Milindkumar B.Vaidya. "Profile Based Mobile App Classification On Analyzing The App Reviews By Using Contextual Information Of App." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 2 number 1 ().
Vancouver Ashwini S.Sanap, and Milindkumar B.Vaidya. Profile Based Mobile App Classification On Analyzing The App Reviews By Using Contextual Information Of App. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2016 [Cited : ]; 2(1) : 468-471. Available from: http://ijariie.com/AdminUploadPdf/Profile_Based_Mobile_App_Classification_On_Analyzing_The_App_Reviews_By_Using_Contextual_Information_Of_App_ijariie1596.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
SIGNATURE BASED COMPUTERIZED CRIMINAL SYSTEM USING HYBRID TECHNIQUES.computer scienceLOFINMAKIN DAMILOLA AYOMIPOSI Download
Detecting Of SARS-CoV-2 From Chest X-Ray Using Artificial IntelligenceComputer EngineeringMadhuri Thote Download
Conceptual study of Advancement in Brain Computing Interface (BCI) model for various bio signals: A Reviewcomputer science Mansi Mohan Dayma Download
Analysis of Data in School Level Education System by using DataminingComputer ScienceProf Arif Hakeem Download
IDENTIFICATION SYSTEM FOR PERNICIOUS CODE ON ANDROID USING STATIC TECHNIQUEScomputer scienceOBAYI ADAORA ANGELA. Download
Comparative Analysis of various cryptographic algorithms on the basis of time and block sizeComputer EngineeringMithlesh Kumar Yadav Download
A Review of Clustering System of Finding Secure Route in Mobile Ad Hoc NetworksComputer Engineering Ranju Bharti Download
Clustering System of Finding Secure Route in Mobile Ad Hoc NetworksComputer Engineering Ranju Bharti Download
Handling big data security and Service through bilinear pairing and parallel computationComputer EngineeringShivani Shivajirao Kaktikar Download
Handling Federated Privacy preserving Crowdsourcing platform on blockchainComputer EngineeringMrunal Suryakant Mane Download
Node Selection for Routing Data Using MCDM AlgorithmComputer EngineeringJayesh Bakhshi Download
A Thorough Study on Privacy preserving Crowdsourcing platform On blockchainComputer EngineeringMrunal Suryakant Mane Download
An Authenticated Survey on Big data SecurityComputer EngineeringShivani Shivajirao Kaktikar Download
Briny SaverCSEHarsh Jindal Download
Intrusion Detection System: A Systemetic ReviewComputer Engineering Mithlesh Kumar Download
12