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» Scaling Clustering Algorithms to Large Databases
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SIGMOD
2000
ACM
212views Database» more  SIGMOD 2000»
14 years 25 days ago
SQLEM: Fast Clustering in SQL using the EM Algorithm
Clustering is one of the most important tasks performed in Data Mining applications. This paper presents an e cient SQL implementation of the EM algorithm to perform clustering in...
Carlos Ordonez, Paul Cereghini
IDA
2003
Springer
14 years 1 months ago
Large Scale Mining of Molecular Fragments with Wildcards
The main task of drug discovery is to find novel bioactive molecules, i.e., chemical compounds that, for example, protect human cells against a virus. One way to support solving t...
Heiko Hofer, Christian Borgelt, Michael R. Berthol...
ADL
2000
Springer
265views Digital Library» more  ADL 2000»
14 years 24 days ago
Clustering and Identifying Temporal Trends in Document Databases
We introduce a simple and efficient method for clustering and identifying temporal trends in hyper-linked document databases. Our method can scale to large datasets because it ex...
Alexandrin Popescul, Gary William Flake, Steve Law...
DAGM
2008
Springer
13 years 10 months ago
Boosting for Model-Based Data Clustering
In this paper a novel and generic approach for model-based data clustering in a boosting framework is presented. This method uses the forward stagewise additive modeling to learn t...
Amir Saffari, Horst Bischof
JNW
2007
132views more  JNW 2007»
13 years 8 months ago
Genetic Algorithm for Hierarchical Wireless Sensor Networks
— Large scale wireless sensor networks (WSNs) can be used for various pervasive and ubiquitous applications such as security, health-care, industry automation, agriculture, envir...
Sajid Hussain, Abdul Wasey Matin, Obidul Islam