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KDD
2003
ACM
190views Data Mining» more  KDD 2003»
14 years 5 months ago
Distance-enhanced association rules for gene expression
We introduce a novel data mining technique for the analysis of gene expression. Gene expression is the effective production of the protein that a gene encodes. We focus on the cha...
Aleksandar Icev, Carolina Ruiz, Elizabeth F. Ryder
PKDD
2004
Springer
141views Data Mining» more  PKDD 2004»
13 years 10 months ago
Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach
In this paper we propose a novel spatial associative classifier method based on a multi-relational approach that takes spatial relations into account. Classification is driven by s...
Michelangelo Ceci, Annalisa Appice, Donato Malerba
CSE
2008
IEEE
13 years 7 months ago
ACN: An Associative Classifier with Negative Rules
Classification using association rules has added a new dimension to the ongoing research for accurate classifiers. Over the years, a number of associative classifiers based on pos...
Gourab Kundu, Md. Monirul Islam, Sirajum Munir, Md...
WEBDB
2000
Springer
131views Database» more  WEBDB 2000»
13 years 9 months ago
Automatic Classification of Text Databases Through Query Probing
Many text databases on the web are "hidden" behind search interfaces, and their documents are only accessible through querying. Search engines typically ignore the conte...
Panagiotis G. Ipeirotis, Luis Gravano, Mehran Saha...
ISMIR
2005
Springer
168views Music» more  ISMIR 2005»
13 years 11 months ago
A Novel HMM Approach to Melody Spotting in Raw Audio Recordings
This paper presents a melody spotting system based on Variable Duration Hidden Markov Models (VDHMM’s), capable of locating monophonic melodies in a database of raw audio record...
Aggelos Pikrakis, Sergios Theodoridis