Design Optimization using Crowdsourcing
Journal: GRD Journal for Engineering (Vol.2, No. 4)Publication Date: 2017-03-01
Authors : N.Bhaskar; Kalpana.K; Divya.M;
Page : 96-101
Keywords : Crowdsourcing; Data Mining; Query Optimization; Cost and Latency;
Abstract
Crowdsourcing is the disperse problem solving model in the domain of Data mining that has emerged in recent years. Crowdsourcing is designed to relieve the user from the burden dealing with the crowd. The Motivation of the project is the registered users or any group of audience from social media who are registered can rate the designs from Number of designs provided by the designers and filter by the admin based on different contexts and the filtered rated designs are displayed to the end users or customers. The project is mainly for the particular boutique shop. The project is based on query optimization: cost-based and latency based query optimization.
Citation: N.Bhaskar, KCG College of Technology; Kalpana.K ,KCG College of Technology; Divya.M ,KCG College of Technology. "Design Optimization using Crowdsourcing." Global Research and Development Journal For Engineering 24 2017: 96 - 101.
Other Latest Articles
- Perusal of Multimachine System for Enhancement of Power System Performance
- Seismic Response of Buckling Restrained Braced Frames
- Grammatical Error Checking and Polarity Determination of a Simple Sentence
- Enhanced Elliptic Curve Diffie-Hellman Key Exchange Algorithm for Ornamental Security based on Signature and Authentication Algorithm
- Finite Element Analysis of Automobile Chassis
Last modified: 2017-06-30 17:05:38