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» Hierarchical Document Clustering using Frequent Itemsets
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ECWEB
2005
Springer
127views ECommerce» more  ECWEB 2005»
14 years 1 months ago
Knowledge Discovery in Web-Directories: Finding Term-Relations to Build a Business Ontology
The Web continues to grow at a tremendous rate. Search engines find it increasingly difficult to provide useful results. To manage this explosively large number of Web documents,...
Sandip Debnath, Tracy Mullen, Arun Upneja, C. Lee ...
DAS
2010
Springer
14 years 8 days ago
Detecting and recognizing tables in spreadsheets
Detecting tables in a spreadsheet is the first step needed to make spreadsheet documents accessible to individuals with visual disabilities. Techniques to enable aural presentati...
Iyad Abu Doush, Enrico Pontelli
APWEB
2003
Springer
13 years 11 months ago
Mining "Hidden Phrase" Definitions from the Web
Keyword searching is the most common form of document search on the Web. Many Web publishers manually annotate the META tags and titles of their pages with frequently queried phras...
Hung V. Nguyen, P. Velamuru, Deepak Kolippakkam, H...
DAGSTUHL
2007
13 years 9 months ago
Multi-Aspect Tagging for Collaborative Structuring
Local tag structures have become frequent through Web 2.0: Users "tag" their data without specifying the underlying semantics. Every user annotates items in an individual...
Katharina Morik, Michael Wurst
ICDE
2007
IEEE
170views Database» more  ICDE 2007»
14 years 8 months ago
Tree-Pattern Similarity Estimation for Scalable Content-based Routing
With the advent of XML as the de facto language for data publishing and exchange, scalable distribution of XML data to large, dynamic populations of consumers remains an important...
Raphaël Chand, Pascal Felber, Minos N. Garofa...