Research on Implementing Link Forecasting Task of New Machine Learning Method View Homepage


Ontology type: schema:MonetaryGrant     


Grant Info

YEARS

2011-2014

FUNDING AMOUNT

200000 CNY

ABSTRACT

This topic examines how to use the new machine learning methods (including semi-supervised learning, active learning, etc.) to better achieve the social network analysis of the link forecasting tasks. This paper investigates the research status and existing problems of machine learning technology in the field of social network analysis (especially the link prediction subtask), and analyzes the necessity and possibility of applying semi - supervised learning and active learning to link prediction. The research work is to be carried out: 1) to study the link forecasting method based on semi-supervised learning; 2) link forecasting method based on active learning; and 3) link classification method based on semi-supervised and active learning. The experiment uses DBLP data set and CORA data set, in WEKA environment to achieve all the algorithms. The method will be compared with the existing methods in the world, verify the validity and advancement of the subject, and provide the theoretical support of the algorithm. The research results are of great significance to the spam filtering system, the wireless communication network security system and the network personalized recommendation system. The subject is expected to publish more than 6 papers at the domestic and international famous journals and conferences, and train 1-2 graduate students. More... »

URL

http://npd.nsfc.gov.cn/projectDetail.action?pid=61100135

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