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» Mining Very Large Databases
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KDD
2004
ACM
164views Data Mining» more  KDD 2004»
16 years 4 months ago
Cluster-based concept invention for statistical relational learning
We use clustering to derive new relations which augment database schema used in automatic generation of predictive features in statistical relational learning. Clustering improves...
Alexandrin Popescul, Lyle H. Ungar
124
Voted
PKDD
2009
Springer
137views Data Mining» more  PKDD 2009»
15 years 10 months ago
On Subgroup Discovery in Numerical Domains
Subgroup discovery is a Knowledge Discovery task that aims at finding subgroups of a population with high generality and distributional unusualness. While several subgroup discove...
Henrik Grosskreutz, Stefan Rüping
PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
15 years 10 months ago
Protein Identification from Tandem Mass Spectra with Probabilistic Language Modeling
This paper presents an interdisciplinary investigation of statistical information retrieval (IR) techniques for protein identification from tandem mass spectra, a challenging probl...
Yiming Yang, Abhay Harpale, Subramaniam Ganapathy
GFKL
2007
Springer
196views Data Mining» more  GFKL 2007»
15 years 10 months ago
Comparison of Recommender System Algorithms Focusing on the New-item and User-bias Problem
Recommender systems are used by an increasing number of e-commerce websites to help the customers to find suitable products from a large database. One of the most popular techniqu...
Stefan Hauger, Karen H. L. Tso, Lars Schmidt-Thiem...
111
Voted
ICDM
2005
IEEE
122views Data Mining» more  ICDM 2005»
15 years 9 months ago
Finding Representative Set from Massive Data
In the information age, data is pervasive. In some applications, data explosion is a significant phenomenon. The massive data volume poses challenges to both human users and comp...
Feng Pan, Wei Wang 0010, Anthony K. H. Tung, Jiong...