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CINQ
2004
Springer
151views Database» more  CINQ 2004»
14 years 1 months ago
Query Languages Supporting Descriptive Rule Mining: A Comparative Study
Recently, inductive databases (IDBs) have been proposed to tackle the problem of knowledge discovery from huge databases. With an IDB, the user/analyst performs a set of very diffe...
Marco Botta, Jean-François Boulicaut, Cyril...
CSB
2005
IEEE
131views Bioinformatics» more  CSB 2005»
14 years 3 months ago
Current Challenges in Bioimage Database Design
Information technology research has played a significant role in the high-throughput acquisition and analysis of biological information. The tremendous amount of information gath...
Ambuj K. Singh, Arnab Bhattacharya, Vebjorn Ljosa
KDD
1995
ACM
167views Data Mining» more  KDD 1995»
14 years 1 months ago
Efficient Algorithms for Attribute-Oriented Induction
Data mining or knowledge discovery in databasesis the search for relationships and global patterns that exist but are hidden in large databases.Many different methodshave been pro...
Hoi-Yee Hwang, Ada Wai-Chee Fu
BMCBI
2006
113views more  BMCBI 2006»
13 years 10 months ago
In silico discovery of human natural antisense transcripts
Background: Several high-throughput searches for ppotential natural antisense transcripts (NATs) have been performed recently, but most of the reports were focused on cis type. A ...
Yuan-Yuan Li, Lei Qin, Zong-Ming Guo, Lei Liu, Hao...
SSD
2001
Springer
218views Database» more  SSD 2001»
14 years 2 months ago
Efficient Mining of Spatiotemporal Patterns
The problem of mining spatiotemporal patterns is finding sequences of events that occur frequently in spatiotemporal datasets. Spatiotemporal datasets store the evolution of object...
Ilias Tsoukatos, Dimitrios Gunopulos