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ADMA
2009
Springer
145views Data Mining» more  ADMA 2009»
14 years 3 months ago
A Framework for Multi-Objective Clustering and Its Application to Co-Location Mining
The goal of multi-objective clustering (MOC) is to decompose a dataset into similar groups maximizing multiple objectives in parallel. In this paper, we provide a methodology, arch...
Rachsuda Jiamthapthaksin, Christoph F. Eick, Ricar...
ICDE
2004
IEEE
115views Database» more  ICDE 2004»
14 years 10 months ago
Unordered Tree Mining with Applications to Phylogeny
Frequent structure mining (FSM) aims to discover and extract patterns frequently occurring in structural data, such as trees and graphs. FSM finds many applications in bioinformat...
Dennis Shasha, Jason Tsong-Li Wang, Sen Zhang
ICDM
2006
IEEE
139views Data Mining» more  ICDM 2006»
14 years 2 months ago
Privacy Preserving Nearest Neighbor Search
Data mining is frequently obstructed by privacy concerns. In many cases data is distributed, and bringing the data together in one place for analysis is not possible due to privac...
Mark Shaneck, Yongdae Kim, Vipin Kumar
MIE
2008
112views Healthcare» more  MIE 2008»
13 years 10 months ago
Mining Knowledge from Corpora: an Application to Retrieval and Indexing
The present work aims at discovering new associations between medical concepts to be exploited as input in retrieval and indexing. Material and Methods: Association rules method is...
Lina Fatima Soualmia, Badisse Dahamna, Stéf...
IJSI
2008
129views more  IJSI 2008»
13 years 8 months ago
Managing the Acronym/Expansion Identification Process for Text-Mining Applications
This paper deals with an acronym/definition extraction approach from textual data (corpora) and the disambiguation of these definitions (or expansions). Both steps of our global pr...
Mathieu Roche, Violaine Prince