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DILS
2008
Springer
15 years 1 months ago
Semi Supervised Spectral Clustering for Regulatory Module Discovery
We propose a novel semi-supervised clustering method for the task of gene regulatory module discovery. The technique uses data on dna binding as prior knowledge to guide the proces...
Alok Mishra, Duncan Gillies
95
Voted
CJ
2004
99views more  CJ 2004»
14 years 11 months ago
Filters for XML-based Service Discovery in Pervasive Computing
Pervasive computing refers to an emerging trend towards numerous casually accessible devices connected to an increasingly ubiquitous network infrastructure. An important challenge...
Georgia Koloniari, Evaggelia Pitoura
RSFDGRC
2005
Springer
111views Data Mining» more  RSFDGRC 2005»
15 years 5 months ago
Knowledge Discovery Based Query Answering in Hierarchical Information Systems
The paper concerns failing queries in incomplete Distributed Autonomous Information Systems (DAIS) based on attributes which are hierarchical and which semantics at different site...
Zbigniew W. Ras, Agnieszka Dardzinska, Osman G&uum...
BMCBI
2005
121views more  BMCBI 2005»
14 years 11 months ago
Automated methods of predicting the function of biological sequences using GO and BLAST
Background: With the exponential increase in genomic sequence data there is a need to develop automated approaches to deducing the biological functions of novel sequences with hig...
Craig E. Jones, Ute Baumann, Alfred L. Brown
CINQ
2004
Springer
163views Database» more  CINQ 2004»
15 years 5 months ago
Frequent Itemset Discovery with SQL Using Universal Quantification
Algorithms for finding frequent itemsets fall into two broad classes: (1) algorithms that are based on non-trivial SQL statements to query and update a database, and (2) algorithms...
Ralf Rantzau