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» Discovering Trends in Text Databases
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WIDM
2003
ACM
15 years 2 months ago
Datarover: a taxonomy based crawler for automated data extraction from data-intensive websites
The advent of e-commerce has created a trend that brought thousands of catalogs online. Most of these websites are “taxonomy-directed”. A Web site is said to be ``taxonomydire...
Hasan Davulcu, S. Koduri, Saravanakumar Nagarajan
WSOM
2009
Springer
15 years 4 months ago
Analyzing Domestic Violence with Topographic Maps: A Comparative Study
Topographic maps are an appealing exploratory instrument for discovering new knowledge from databases. During the recent years, several variations on the Self Organizing Maps (SOM)...
Jonas Poelmans, Paul Elzinga, Stijn Viaene, Guido ...
ICIP
2009
IEEE
14 years 7 months ago
Expanded bag of words representation for object classification
Currently, the bag of visual words (BOW) representation has received wide applications in object categorization. However, the BOW representation ignores the dependency relationshi...
Tinglin Liu, Jing Liu, Qingshan Liu, Hanqing Lu
187
Voted
SIGMOD
2009
ACM
269views Database» more  SIGMOD 2009»
15 years 9 months ago
Efficient approximate entity extraction with edit distance constraints
Named entity recognition aims at extracting named entities from unstructured text. A recent trend of named entity recognition is finding approximate matches in the text with respe...
Wei Wang 0011, Chuan Xiao, Xuemin Lin, Chengqi Zha...
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
15 years 9 months ago
Probabilistic author-topic models for information discovery
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...