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