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» Discovering Trends in Text Databases
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ESWA
2011
428views Database» more  ESWA 2011»
14 years 4 months ago
Formally analysing the concepts of domestic violence
The types of police inquiries performed these days are incredibly diverse. Often data processing architectures are not suited to cope with this diversity since most of the case dat...
Jonas Poelmans, Paul Elzinga, Stijn Viaene, Guido ...
SAMT
2007
Springer
133views Multimedia» more  SAMT 2007»
15 years 3 months ago
Semantic Video Classification Based on Subtitles and Domain Terminologies
In this paper we explore an unsupervised approach to classify video content by analyzing the corresponding subtitles. The proposed method is based on the WordNet lexical database a...
Polyxeni Katsiouli, Vassileios Tsetsos, Stathes Ha...
KDD
2007
ACM
170views Data Mining» more  KDD 2007»
15 years 9 months ago
From frequent itemsets to semantically meaningful visual patterns
Data mining techniques that are successful in transaction and text data may not be simply applied to image data that contain high-dimensional features and have spatial structures....
Junsong Yuan, Ying Wu, Ming Yang
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
15 years 9 months ago
Using retrieval measures to assess similarity in mining dynamic web clickstreams
While scalable data mining methods are expected to cope with massive Web data, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stopp...
Olfa Nasraoui, Cesar Cardona, Carlos Rojas
VLDB
2007
ACM
113views Database» more  VLDB 2007»
15 years 9 months ago
Fast nGram-Based String Search Over Data Encoded Using Algebraic Signatures
We propose a novel string search algorithm for data stored once and read many times. Our search method combines the sublinear traversal of the record (as in Boyer Moore or Knuth-M...
Witold Litwin, Riad Mokadem, Philippe Rigaux, Thom...