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» Mining Very Large Databases
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BMCBI
2005
125views more  BMCBI 2005»
15 years 3 months ago
A simple approach for protein name identification: prospects and limits
Background: Significant parts of biological knowledge are available only as unstructured text in articles of biomedical journals. By automatically identifying gene and gene produc...
Katrin Fundel, Daniel Güttler, Ralf Zimmer, J...
124
Voted
VLDB
2002
ACM
120views Database» more  VLDB 2002»
15 years 3 months ago
Improving Data Access of J2EE Applications by Exploiting Asynchronous Messaging and Caching Services
The J2EE platform provides a variety of options for making business data persistent using DBMS technology. However, the integration with existing backend database systems has prov...
Samuel Kounev, Alejandro P. Buchmann
133
Voted
KDD
2005
ACM
140views Data Mining» more  KDD 2005»
16 years 3 months ago
Graphs over time: densification laws, shrinking diameters and possible explanations
How do real graphs evolve over time? What are "normal" growth patterns in social, technological, and information networks? Many studies have discovered patterns in stati...
Jure Leskovec, Jon M. Kleinberg, Christos Faloutso...
118
Voted
ICDM
2009
IEEE
124views Data Mining» more  ICDM 2009»
15 years 10 months ago
Rule Ensembles for Multi-target Regression
—Methods for learning decision rules are being successfully applied to many problem domains, especially where understanding and interpretation of the learned model is necessary. ...
Timo Aho, Bernard Zenko, Saso Dzeroski
ICDM
2007
IEEE
147views Data Mining» more  ICDM 2007»
15 years 9 months ago
Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights
Recommender systems based on collaborative filtering predict user preferences for products or services by learning past user-item relationships. A predominant approach to collabo...
Robert M. Bell, Yehuda Koren