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DEXA
2009
Springer
175views Database» more  DEXA 2009»
16 years 1 months ago
RoK: Roll-Up with the K-Means Clustering Method for Recommending OLAP Queries
Dimension hierarchies represent a substantial part of the data warehouse model. Indeed they allow decision makers to examine data at different levels of detail with On-Line Analyt...
Fadila Bentayeb, Cécile Favre
BMCBI
2010
144views more  BMCBI 2010»
15 years 6 months ago
Graph-based clustering and characterization of repetitive sequences in next-generation sequencing data
Background: The investigation of plant genome structure and evolution requires comprehensive characterization of repetitive sequences that make up the majority of higher plant nuc...
Petr Novák, Pavel Neumann, Jirí Maca...
TMC
2008
210views more  TMC 2008»
15 years 6 months ago
Adaptive Cluster-Based Data Collection in Sensor Networks with Direct Sink Access
Recently wireless sensor networks featuring direct sink access have been studied as an efficient architecture to gather and process data for numerous applications. In this paper, w...
Mahdi Lotfinezhad, Ben Liang, Elvino S. Sousa
JMLR
2010
198views more  JMLR 2010»
15 years 5 months ago
On Learning with Integral Operators
A large number of learning algorithms, for example, spectral clustering, kernel Principal Components Analysis and many manifold methods are based on estimating eigenvalues and eig...
Lorenzo Rosasco, Mikhail Belkin, Ernesto De Vito
ICWSM
2009
15 years 4 months ago
Blogs as Predictors of Movie Success
Analysis of a comprehensive set of features extracted from blogs for prediction of movie sales is presented. We use correlation, clustering and time-series analysis to study which...
Eldar Sadikov, Aditya G. Parameswaran, Petros Vene...