DocumentCode
2922076
Title
A review of retrospective news event detection
Author
Ramadan, Qusai Hussein ; Mohd, Masnizah
Author_Institution
Knowledge Technol. Res. Group, Univ. Kebangsaan Malaysia, Bangi, Malaysia
fYear
2011
fDate
28-29 June 2011
Firstpage
209
Lastpage
214
Abstract
Retrospective news event detection (RED) has been studied for many years in order to discover previous unidentified events. There are ongoing works done to improve RED techniques such as distance measure and clustering approaches to overcome issues such as huge dimensionality of data. This paper discusses three major sequential stages in RED (data preprocessing, data representation and data organization) and reports the limitation in each stage. Finally we present the suggested RED with respect to crimes domain.
Keywords
data handling; data structures; information resources; pattern clustering; police data processing; RED; data dimensionality; data organization; data preprocessing; data representation; distance clustering; distance measure; retrospective news event detection; Accuracy; Clustering algorithms; Data mining; Data preprocessing; Event detection; Measurement; Organizations; Retrospective news event detection; crime;
fLanguage
English
Publisher
ieee
Conference_Titel
Semantic Technology and Information Retrieval (STAIR), 2011 International Conference on
Conference_Location
Putrajaya
Print_ISBN
978-1-61284-354-4
Electronic_ISBN
978-1-61284-353-7
Type
conf
DOI
10.1109/STAIR.2011.5995790
Filename
5995790
Link To Document