DocumentCode :
3226283
Title :
Social networks of buying — Likely patterns
Author :
Sathik, M. Mohamed ; Rasheed, A.A.
Author_Institution :
Comput. Sci., Sathakathullah Appa Coll., Tirunelveli, India
fYear :
2009
fDate :
22-24 July 2009
Firstpage :
1
Lastpage :
3
Abstract :
Social network is the group of individuals who have common interest. Data mining has the greatest attention of research over the past decade. The machine learning field evolved from the broad field of artificial intelligence, in which the machine (computers) can be enabled to think or act as intelligent as humans. Classification is the machine learning problem in which the given dataset can be classified upon known classes. Social network has great impact in product marketing. In this paper we consider the classification as a social network problem. To prove this, we have taken a dataset and classify it using ID3 implementation. The dataset contains multivariate and multi - classes. The results obtained by classification are considered as social networks.
Keywords :
data mining; learning (artificial intelligence); marketing; social networking (online); artificial intelligence; data mining; dataset; machine learning field; product marketing; social networks; Artificial intelligence; Computer science; Data mining; Educational institutions; IP networks; Learning systems; Machine learning; MySpace; Social network services; Supervised learning; Classification; Data mining; Social Networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Agent & Multi-Agent Systems, 2009. IAMA 2009. International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4244-4710-7
Type :
conf
DOI :
10.1109/IAMA.2009.5228046
Filename :
5228046
Link To Document :
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