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FUZZIEEE
2007
IEEE
14 years 3 months ago
Genetic Learning of Membership Functions for Mining Fuzzy Association Rules
— Data mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binary-valued transaction data. Transaction da...
Rafael Alcalá, Jesús Alcalá-F...
KAIS
2006
172views more  KAIS 2006»
13 years 8 months ago
CoMMA: a framework for integrated multimedia mining using multi-relational associations
Generating captions or annotations automatically for still images is a challenging task. Traditionally, techniques involving higher-level (semantic) object detection and complex f...
Ankur Teredesai, Muhammad A. Ahmad, Juveria Kanodi...
PRIB
2009
Springer
100views Bioinformatics» more  PRIB 2009»
14 years 3 months ago
Evidence-Based Clustering of Reads and Taxonomic Analysis of Metagenomic Data
Abstract. The rapidly emerging field of metagenomics seeks to examine the genomic content of communities of organisms to understand their roles and interactions in an ecosystem. I...
Gianluigi Folino, Fabio Gori, Mike S. M. Jetten, E...
EKAW
2010
Springer
13 years 7 months ago
RDFauthor: Employing RDFa for Collaborative Knowledge Engineering
Abstract. In this paper we present RDFauthor, an approach for authoring information that adheres to the RDF data model. RDFauthor completely hides syntax as well as RDF and ontolog...
Sebastian Tramp, Norman Heino, Sören Auer, Ph...
WILF
2005
Springer
112views Fuzzy Logic» more  WILF 2005»
14 years 2 months ago
NEC for Gene Expression Analysis
Aim of this work is to apply a novel comprehensive machine learning tool for data mining to preprocessing and interpretation of gene expression data. Furthermore, some visualizatio...
Roberto Amato, Angelo Ciaramella, N. Deniskina, Ca...