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» SVM Based Learning System for Information Extraction
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178
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ICEIS
2009
IEEE
16 years 24 days ago
NARFO Algorithm: Mining Non-redundant and Generalized Association Rules Based on Fuzzy Ontologies
Traditional approaches for mining generalized association rules are based only on database contents, and focus on exact matches among items. However, in many applications, the use ...
Rafael Garcia Miani, Cristiane A. Yaguinuma, Maril...
188
Voted
BPM
2007
Springer
130views Business» more  BPM 2007»
16 years 10 days ago
Process Mining Based on Clustering: A Quest for Precision
Process mining techniques attempt to extract non-trivial and useful information from event logs recorded by information systems. For example, there are many process mining techniqu...
Ana Karla Alves de Medeiros, Antonella Guzzo, Gian...
142
Voted
JDIM
2010
156views more  JDIM 2010»
15 years 28 days ago
Rule based Autonomous Citation Mining with TIERL
: Citations management is an important task in managing digital libraries. Citations provide valuable information e.g., used in evaluating an author's influences or scholarly ...
Muhammad Tanvir Afzal, Hermann A. Maurer, Wolf-Til...
175
Voted
MMM
2012
Springer
289views Multimedia» more  MMM 2012»
14 years 1 months ago
Content-Based Video Description for Automatic Video Genre Categorization
In this paper, we propose an audio-visual approach to video genre categorization. Audio information is extracted at block-level, which has the advantage of capturing local temporal...
Bogdan Ionescu, Klaus Seyerlehner, Christoph Rasch...
ICIP
2009
IEEE
15 years 3 months ago
Selecting representative and distinctive descriptors for efficient landmark recognition
To have a robust and informative image content representation for image categorization, we often need to extract as many as possible visual features at various locations, scales a...
Sheng Gao, Joo-Hwee Lim