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» Using multiple ontologies in information extraction
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KDD
2002
ACM
147views Data Mining» more  KDD 2002»
15 years 10 months ago
Visualized Classification of Multiple Sample Types
The goal of the knowledge discovery and data mining is to extract the useful knowledge from the given data. Visualization enables us to find structures, features, patterns, and re...
Li Zhang, Aidong Zhang, Murali Ramanathan
WWW
2005
ACM
15 years 10 months ago
Algorithmic detection of semantic similarity
Automatic extraction of semantic information from text and links in Web pages is key to improving the quality of search results. However, the assessment of automatic semantic meas...
Ana Gabriela Maguitman, Filippo Menczer, Heather R...
ICISC
2009
132views Cryptology» more  ICISC 2009»
14 years 7 months ago
Side-Channel Analysis of Cryptographic Software via Early-Terminating Multiplications
Abstract. The design of embedded processors demands a careful tradeoff between many conflicting objectives such as performance, silicon area and power consumption. Finding such a t...
Johann Großschädl, Elisabeth Oswald, Da...
ECIR
2009
Springer
15 years 7 months ago
Synchronous Collaborative Information Retrieval: Techniques and Evaluation
Synchronous Collaborative Information Retrieval refers to systems that support multiple users searching together at the same time in order to satisfy a shared information need. To ...
Colum Foley, Alan F. Smeaton
BMCBI
2006
109views more  BMCBI 2006»
14 years 10 months ago
Integrated analysis of gene expression by association rules discovery
Background: Microarray technology is generating huge amounts of data about the expression level of thousands of genes, or even whole genomes, across different experimental conditi...
Pedro Carmona-Saez, Monica Chagoyen, Andrés...