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ICDM
2009
IEEE
133views Data Mining» more  ICDM 2009»
15 years 4 months ago
Clustering Trajectories of Moving Objects in an Uncertain World
Mining Trajectory Databases (TD) has recently gained great interest due to the popularity of tracking devices. On the other hand, the inherent presence of uncertainty in TD (e.g.,...
Nikos Pelekis, Ioannis Kopanakis, Evangelos E. Kot...
ICDM
2005
IEEE
168views Data Mining» more  ICDM 2005»
16 years 2 days ago
A Scalable Collaborative Filtering Framework Based on Co-Clustering
Collaborative filtering-based recommender systems, which automatically predict preferred products of a user using known preferences of other users, have become extremely popular ...
Thomas George, Srujana Merugu
BMCBI
2008
126views more  BMCBI 2008»
15 years 6 months ago
NITPICK: peak identification for mass spectrometry data
Background: The reliable extraction of features from mass spectra is a fundamental step in the automated analysis of proteomic mass spectrometry (MS) experiments. Results: This co...
Bernhard Y. Renard, Marc Kirchner, Hanno Steen, Ju...
PKDD
2010
Springer
235views Data Mining» more  PKDD 2010»
15 years 4 months ago
Online Structural Graph Clustering Using Frequent Subgraph Mining
The goal of graph clustering is to partition objects in a graph database into different clusters based on various criteria such as vertex connectivity, neighborhood similarity or t...
Madeleine Seeland, Tobias Girschick, Fabian Buchwa...
BMCBI
2007
165views more  BMCBI 2007»
15 years 6 months ago
Automatic reconstruction of a bacterial regulatory network using Natural Language Processing
Background: Manual curation of biological databases, an expensive and labor-intensive process, is essential for high quality integrated data. In this paper we report the implement...
Carlos Rodríguez Penagos, Heladia Salgado, ...