Article

Design Optimization using Crowdsourcing

Author(s):

N.Bhaskar, KCG College of Technology; Kalpana.K ,KCG College of Technology; Divya.M ,KCG College of Technology

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.

Reference

    [1] A. D. Sharma, A. Parameswaran, H. Garcia-Molina, and A. Halevy, "Crowd-powered find algorithms," in Proc. IEEE 30th Int. Conf. Dta Eng., 2014, pp. 964–975. [2] A. G. Parameswaran, H. Garcia-Molina, H. Park, N. Polyzotis,A. Ramesh, and J. Widom. Crowdscreen: algorithms for filtering data with humans. In SIGMOD Conference, pages 361–372, 2012. [3] Ju Fan, Meihui Zhang, Stanley Kok, Meiyu Lu, and Beng Chin Ooi. CrowdOp: Query Optimization for Declarative Crowdsourcing Systems, in knowledge and data engineering, vol. 27, no.8, august 2015. [4] S. B. Davidson, S. Khanna, T. Milo, and S. Roy. Using the crowd for top-k and group-by queries inProc. 16th Int. Conf. DatabaseTheory, 2013, 225–236. [5] A. G. Parameswaran, H. Park, H. Garcia-Molina, N. Polyzotis, and J. Widom. Deco: declarative crowdsourcing. In CIKM, pages 1203 – 1212, 2012. [6] M. J. Franklin, D. Kossmann, T. Kraska, S. Ramesh, and R. Xin. Crowddb: answering queries with crowdsourcing. In SIGMOD Conference, pages 61–72, 2011. [7] A. Marcus, E. Wu, S. Madden, and R. C. Miller. Crowdsourced databases: Query processing with people. In CIDR, pages 211–214, 2011

Other Details

Paper ID: GRDJEV02I040076
Published in: Volume : 2, Issue : 4
Publication Date: 2017-04-01
Page(s): 96 - 101

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