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» Mining interesting sets and rules in relational databases
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SOCO
2002
Springer
13 years 7 months ago
Granular neural web agents for stock prediction
A granular neural Web-based stock prediction agent is developed using the granular neural network (GNN) that can discover fuzzy rules. Stock data sets are downloaded from www.yahoo...
Yan-Qing Zhang, Somasheker Akkaladevi, George J. V...
ICDM
2009
IEEE
141views Data Mining» more  ICDM 2009»
14 years 2 months ago
Scalable Algorithms for Distribution Search
Distribution data naturally arise in countless domains, such as meteorology, biology, geology, industry and economics. However, relatively little attention has been paid to data m...
Yasuko Matsubara, Yasushi Sakurai, Masatoshi Yoshi...
BMCBI
2008
75views more  BMCBI 2008»
13 years 7 months ago
Re-searcher: a system for recurrent detection of homologous protein sequences
Background: Sequence searches are routinely employed to detect and annotate related proteins. However, a rapid growth of databases necessitates a frequent repetition of sequence s...
Valdemaras Repsys, Mindaugas Margelevicius, Ceslov...
WEBDB
2010
Springer
172views Database» more  WEBDB 2010»
14 years 23 days ago
Find your Advisor: Robust Knowledge Gathering from the Web
We present a robust method for gathering relational facts from the Web, based on matching generalized patterns which are automatically learned from seed facts for relations of int...
Ndapandula Nakashole, Martin Theobald, Gerhard Wei...
ICDM
2006
IEEE
130views Data Mining» more  ICDM 2006»
14 years 1 months ago
Boosting for Learning Multiple Classes with Imbalanced Class Distribution
Classification of data with imbalanced class distribution has posed a significant drawback of the performance attainable by most standard classifier learning algorithms, which ...
Yanmin Sun, Mohamed S. Kamel, Yang Wang 0007