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194
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SSD
2005
Springer
173views Database» more  SSD 2005»
16 years 23 days ago
On Discovering Moving Clusters in Spatio-temporal Data
A moving cluster is defined by a set of objects that move close to each other for a long time interval. Real-life examples are a group of migrating animals, a convoy of cars movin...
Panos Kalnis, Nikos Mamoulis, Spiridon Bakiras
231
Voted
NIPS
2007
15 years 8 months ago
Mining Internet-Scale Software Repositories
Large repositories of source code create new challenges and opportunities for statistical machine learning. Here we first develop Sourcerer, an infrastructure for the automated c...
Erik Linstead, Paul Rigor, Sushil Krishna Bajracha...
BMCBI
2010
86views more  BMCBI 2010»
15 years 7 months ago
Mining protein loops using a structural alphabet and statistical exceptionality
Background: Protein loops encompass 50% of protein residues in available three-dimensional structures. These regions are often involved in protein functions, e.g. binding site, ca...
Leslie Regad, Juliette Martin, Grégory Nuel...
AEI
2004
132views more  AEI 2004»
15 years 7 months ago
An adaptive website system to improve efficiency with web mining techniques
The paper proposes an adaptive web system--that is, a website that is capable of changing its original design to fit user requirements. For the purpose of improving shortcomings o...
Ji-Hyun Lee, Wei-Kun Shiu
200
Voted
PKDD
2004
Springer
118views Data Mining» more  PKDD 2004»
16 years 19 days ago
Learning from Multi-source Data
This paper proposes an efficient method to learn from multi source data with an Inductive Logic Programming method. The method is based on two steps. The first one consists in lea...
Élisa Fromont, Marie-Odile Cordier, Rene Qu...