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KDD
2004
ACM
624views Data Mining» more  KDD 2004»
14 years 23 days ago
Programming the K-means clustering algorithm in SQL
Using SQL has not been considered an efficient and feasible way to implement data mining algorithms. Although this is true for many data mining, machine learning and statistical a...
Carlos Ordonez
BMCBI
2005
246views more  BMCBI 2005»
13 years 7 months ago
ParPEST: a pipeline for EST data analysis based on parallel computing
Background: Expressed Sequence Tags (ESTs) are short and error-prone DNA sequences generated from the 5' and 3' ends of randomly selected cDNA clones. They provide an im...
Nunzio D'Agostino, Mario Aversano, Maria Luisa Chi...
WWW
2003
ACM
14 years 8 months ago
The chatty web: emergent semantics through gossiping
This paper describes a novel approach for obtaining semantic interoperability among data sources in a bottom-up, semiautomatic manner without relying on pre-existing, global seman...
Karl Aberer, Manfred Hauswirth, Philippe Cudr&eacu...
DEBU
2002
107views more  DEBU 2002»
13 years 7 months ago
Exploiting Web Service Semantics: Taxonomies vs. Ontologies
Comprehensive semantic descriptions of Web services are essential to exploit them in their full potential, that is, discovering them dynamically, and enabling automated service ne...
Asuman Dogac, Gokce Laleci, Yildiray Kabak, Ibrahi...
ICASSP
2011
IEEE
12 years 11 months ago
Semantic data selection for vertical business voice search
Local business voice search is a popular application for mobile phones, where hands-free interaction and speed are critical to users. However, speech recognition accuracy is still...
Giuseppe Di Fabbrizio, Diamantino Caseiro, Amanda ...