Mining structural databases: An Evolutionary Multi-Objetive Conceptual Clustering methodology

R. Romero-Zaliz, C. Rubio-Escudero, O. Cordón, O. Harari, C. Del Val, I. Zwir

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The increased availability of biological databases containing representations of complex objects permits access to vast amounts of data. In spite of the recent renewed interest in knowledge-discovery techniques (or data mining), there is a dearth of data analysis methods intended to facilitate understanding of the represented objects and related systems by their most representative features and those relationship derived from these features (i.e., structural data). In this paper we propose a conceptual clustering methodology termed EMO-CC for Evolutionaryl databases. Besides, EMO-CC provides annotations of the uncovered substructures, and based on them, ap Multi-Objective Conceptual Clustering that uses multi-objective and multi-modal optimization techniques based on Evolutionary Algorithms that uncover representative substructures from structuraplies an unsupervised classification approach to retrieve new members of previously discovered substructures. We apply EMO-CC to the Gene Ontology database to recover interesting sub-structures that describes problems from different points of view and use them to explain inmuno-inflammatory responses measured in terms of gene expression profiles derived from the analysis of longitudinal blood expression profiles of human volunteers treated with intravenous endotoxin compared to placebo.

Original languageEnglish
Title of host publicationApplications of Evolutionary Computing - EvoWorkshops 2006
Subtitle of host publicationEvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, and EvoSTOC, Proceedings
Pages159-171
Number of pages13
DOIs
StatePublished - 2006
EventEvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, and EvoSTOC - Budapest, Hungary
Duration: Apr 10 2006Apr 12 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3907 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceEvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, and EvoSTOC
Country/TerritoryHungary
CityBudapest
Period04/10/0604/12/06

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