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CORR
2000
Springer
120views Education» more  CORR 2000»
13 years 9 months ago
Scaling Up Inductive Logic Programming by Learning from Interpretations
When comparing inductive logic programming (ILP) and attribute-value learning techniques, there is a trade-off between expressive power and efficiency. Inductive logic programming ...
Hendrik Blockeel, Luc De Raedt, Nico Jacobs, Bart ...
SISAP
2010
IEEE
135views Data Mining» more  SISAP 2010»
13 years 7 months ago
Improving the similarity search of tandem mass spectra using metric access methods
In biological applications, the tandem mass spectrometry is a widely used method for determining protein and peptide sequences from an ”in vitro” sample. The sequences are not...
Jiri Novák, Tomás Skopal, David Hoks...
ICDM
2010
IEEE
121views Data Mining» more  ICDM 2010»
13 years 7 months ago
Recommending Social Events from Mobile Phone Location Data
A city offers thousands of social events a day, and it is difficult for dwellers to make choices. The combination of mobile phones and recommender systems can change the way one de...
Daniele Quercia, Neal Lathia, Francesco Calabrese,...
ICDM
2010
IEEE
230views Data Mining» more  ICDM 2010»
13 years 7 months ago
Clustering Large Attributed Graphs: An Efficient Incremental Approach
In recent years, many networks have become available for analysis, including social networks, sensor networks, biological networks, etc. Graph clustering has shown its effectivenes...
Yang Zhou, Hong Cheng, Jeffrey Xu Yu
ICDM
2010
IEEE
273views Data Mining» more  ICDM 2010»
13 years 7 months ago
Learning Maximum Lag for Grouped Graphical Granger Models
Temporal causal modeling has been a highly active research area in the last few decades. Temporal or time series data arises in a wide array of application domains ranging from med...
Amit Dhurandhar