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IDA
2009
Springer
14 years 7 months ago
Ontology-Driven KDD Process Composition
Abstract. One of the most interesting challenges in Knowledge Discovery in Databases (KDD) eld is giving support to users in the composition of tools for forming a valid and useful...
Claudia Diamantini, Domenico Potena, Emanuele Stor...
BMCBI
2006
174views more  BMCBI 2006»
14 years 9 months ago
Genome wide prediction of protein function via a generic knowledge discovery approach based on evidence integration
Background: The automation of many common molecular biology techniques has resulted in the accumulation of vast quantities of experimental data. One of the major challenges now fa...
Jianghui Xiong, Simon Rayner, Kunyi Luo, Yinghui L...
85
Voted
ER
2009
Springer
92views Database» more  ER 2009»
15 years 4 months ago
From User Goals to Service Discovery and Composition
Goals are often used to represent stakeholder’s objectives. The intentionality inherited by a goal drives stakeholders to pursuit the fulfillment of their goals either by themse...
Luiz Olavo Bonino da Silva Santos, Giancarlo Guizz...
86
Voted
ICEIS
2009
IEEE
15 years 4 months ago
NARFO Algorithm: Mining Non-redundant and Generalized Association Rules Based on Fuzzy Ontologies
Traditional approaches for mining generalized association rules are based only on database contents, and focus on exact matches among items. However, in many applications, the use ...
Rafael Garcia Miani, Cristiane A. Yaguinuma, Maril...
AI
2005
Springer
15 years 3 months ago
Towards an Ontology-Based Spatial Clustering Framework
Spatial clustering is an important topic in knowledge discovery research. However, most clustering methods do not consider semantic information during the clustering process. In th...
Xin Wang, Howard J. Hamilton