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» Mining Multiple Large Databases
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KDD
1997
ACM
114views Data Mining» more  KDD 1997»
15 years 6 months ago
Schema Discovery for Semistructured Data
To formulate a meaningful query on semistructured data, such as on the Web, that matches some of the source’s structure, we need first to discover something about how the infor...
Ke Wang, Huiqing Liu
DBA
2006
182views Database» more  DBA 2006»
15 years 3 months ago
Matrix Apriori: Speeding Up the Search for Frequent Patterns
This work discusses the problem of generating association rules from a set of transactions in a relational database, taking performance and accuracy of found results as the essent...
Judith Pavón, Sidney Viana, Santiago G&oacu...
SDM
2007
SIAM
103views Data Mining» more  SDM 2007»
15 years 3 months ago
A System for Keyword Search on Textual Streams
An increasing amount of data is produced in the form of text streams − these can be RSS news feeds, TV closed captions, emails, etc. We study the problem of answering keyword qu...
Vagelis Hristidis, Oscar Valdivia, Michail Vlachos...
MVA
2007
309views Computer Vision» more  MVA 2007»
15 years 2 months ago
Robust Facial Feature Extraction Using Embedded Hidden Markov Model for Face Recognition under Large Pose Variation
We propose an algorithm for extracting facial features robustly from images for face recognition under large pose variation. Rectangular facial features are retrieved via the by-p...
Ping-Han Lee, Yun-Wen Wang, Jison Hsu, Ming-Hsuan ...
CIKM
2008
Springer
15 years 4 months ago
SQL extension for exploring multiple tables
The standard SQL assumes that the users are aware of all tables and their schemas to write queries. This assumption may be valid when the users deal with a relatively small number...
Sung Jin Kim, Junghoo John Cho