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» Mining Very Large Databases
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SIGMOD
2000
ACM
212views Database» more  SIGMOD 2000»
14 years 2 months 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
ICDM
2005
IEEE
272views Data Mining» more  ICDM 2005»
14 years 3 months ago
Mining Patterns of Change in Remote Sensing Image Databases
Remote sensing image databases are the fastest growing archives of spatial information. However, we still have a limited capacity for extracting information from large remote sens...
Marcelino Pereira dos Santos Silva, Gilberto C&aci...
SIGMOD
2004
ACM
144views Database» more  SIGMOD 2004»
14 years 10 months ago
Information-Theoretic Tools for Mining Database Structure from Large Data Sets
Periklis Andritsos, Renée J. Miller, Panayi...
LREC
2010
176views Education» more  LREC 2010»
13 years 11 months ago
WikiNet: A Very Large Scale Multi-Lingual Concept Network
This paper describes a multi-lingual concept network obtained automatically by mining for concepts and relations and exploiting a variety of sources of knowledge from Wikipedia. C...
Vivi Nastase, Michael Strube, Benjamin Boerschinge...
IDA
2011
Springer
13 years 4 months ago
A parallel, distributed algorithm for relational frequent pattern discovery from very large data sets
The amount of data produced by ubiquitous computing applications is quickly growing, due to the pervasive presence of small devices endowed with sensing, computing and communicatio...
Annalisa Appice, Michelangelo Ceci, Antonio Turi, ...