Title :
Evolving effective strategies for enhancing SHG´s using K-mean clustering
Author :
Sajeev, B.U. ; Thangavel, K.
Author_Institution :
Center for R&D, PRIST Univ., Thanjavoor, India
Abstract :
Fast retrieval of relevant information from the databases has always been a significant issue. Different techniques have been developed for this purpose; one of them is Data mining. Clustering analysis is a key and easy tool in data mining and pattern recognition. In this paper K-Mean clustering is used for evaluating the performance of socially and economically backward group of people, self help groups (SHG´s) in Kerala state, and suggestions are made to improve socioeconomic status. The necessary information about the members of SHG has been collected from 9 districts in Kerala through structured questionnaire. The Parameters considered for the study are financial status, types of loan availed, improvement in assets before and after joining the group, effect of joining in more than one group and district wise analysis.
Keywords :
data analysis; data mining; pattern clustering; social sciences computing; socio-economic effects; K-means clustering; Kerala state; SHG enhancement; asset improvement; data mining; databases; district wise analysis; economically backward people; financial status; group wise analysis; information retrieval; joining effect; loan availability; pattern recognition; self help group; socially backward people; socioeconomic status; structured questionnaire; Algorithm design and analysis; Clustering algorithms; Computer science; Couplings; Data mining; Economics; Government; Data mining; K-means; SHG;
Conference_Titel :
Advanced Computing (ICoAC), 2011 Third International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4673-0670-6
DOI :
10.1109/ICoAC.2011.6165152
