DocumentCode :
3580573
Title :
Research and Application of Event Finding based on massive Internet Imagine Tag
Author :
Zhao Xinchun
Author_Institution :
Guidaojiaotong Polytech. Instituteline, Shenyang, China
fYear :
2014
Firstpage :
652
Lastpage :
656
Abstract :
System mainly studies mass events found images from the Internet, this paper focuses on the data label document Flickr to quantify. This paper also implements single-pass clustering algorithm using traditional text clustering. In this paper, achieve three strategies of single-pass clustering algorithm, and analyze and compare the three strategies. Different document order in the event of the discovery process requires traditional events found single-pass clustering algorithm. This paper implements a hot event with a buffer to find a way.
Keywords :
Internet; pattern clustering; social networking (online); text analysis; Flickr; data label document; document order; event discovery process; event finding; mass events; massive-Internet imagine tag; single-pass clustering algorithm; text clustering; Algorithm design and analysis; Clustering algorithms; Cost function; Event detection; Fault detection; Internet; Vectors; Flickr; Topic Detection; single-pass clustering algorithm Buffer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2014 International Conference on
Print_ISBN :
978-1-4799-6928-9
Type :
conf
DOI :
10.1109/CICN.2014.145
Filename :
7065565
Link To Document :
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