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ML
2006
ACM
143views Machine Learning» more  ML 2006»
13 years 7 months ago
Mathematical applications of inductive logic programming
The application of Inductive Logic Programming to scientific datasets has been highly successful. Such applications have led to breakthroughs in the domain of interest and have dri...
Simon Colton, Stephen Muggleton
HIPC
1999
Springer
13 years 11 months ago
High Performance Data Mining
Abstract. Recent times have seen an explosive growth in the availability of various kinds of data. It has resulted in an unprecedented opportunity to develop automated data-driven ...
Vipin Kumar, Jaideep Srivastava
DIS
2007
Springer
14 years 1 months ago
Literature Based Discovery Support System and Its Application to Disease Gene Identification
We present an interactive discovery support system, which for a given starting concept of interest, discovers new, potentially meaningful relations with other concepts that have no...
Dimitar Hristovski, Borut Peterlin, Saso Dzeroski,...
BMCBI
2007
167views more  BMCBI 2007»
13 years 7 months ago
Applying negative rule mining to improve genome annotation
Background: Unsupervised annotation of proteins by software pipelines suffers from very high error rates. Spurious functional assignments are usually caused by unwarranted homolog...
Irena I. Artamonova, Goar Frishman, Dmitrij Frishm...
CLIMA
2004
13 years 9 months ago
The Apriori Stochastic Dependency Detection (ASDD) Algorithm for Learning Stochastic Logic Rules
Apriori Stochastic Dependency Detection (ASDD) is an algorithm for fast induction of stochastic logic rules from a database of observations made by an agent situated in an environm...
Christopher Child, Kostas Stathis