DOIONLINE

DOIONLINE NO - IJASEAT-IRAJ-DOIONLINE-11895

Publish In
International Journal of Advances in Science, Engineering and Technology(IJASEAT)-IJASEAT
Journal Home
Volume Issue
Issue
Volume-6, Issue-2  ( Apr, 2018 )
Paper Title
Comparison Paper on Optimizing Differential Data Collection with Multiple Random Dummies Crowdsensing Mobiles using SVM
Author Name
Ankita Mathankar
Affilition
MTech WCC , Tulsiramaji Gaikwad-Patil College of Engg Tech Mohgaon , Nagpur
Pages
4-6
Abstract
In this age of computer science each and every thing becomes intelligent and perform task as human. For that purpose there are various tools, techniques and methods are proposed. Support vector machine is a model for statistics and computer science, to perform supervised learning, methods that are used to make analysis of data and recognize patterns. SVM is mostly used for classification and regression analysis. And in the same way k-nearest neighbor algorithm is a classification algorithm used to classify data using training examples. In this paper we use SVM and KNN algorithm to classify data and get prediction (find hidden patterns) for target. Here we use some images nominal data to classify and discover the data pattern to predict future progress os work, Uses data mining which is use to classify text analysis in future. Keywords - SVM, KNN, Patterns, Analysis, Classification.
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