Fuzzy quantification: a state of the art
Quantified sentences are a very powerful notion for modelling statements in Natural
Language (NL), but in practice they have been used to solve several problems. This paper is …
Language (NL), but in practice they have been used to solve several problems. This paper is …
Extracting knowledge from building-related data—A data mining framework
Z Yu, BCM Fung, F Haghighat - Building Simulation, 2013 - Springer
Energy management systems provide an opportunity to collect vast amounts of building-
related data. The data contain abundant knowledge about the interactions between a …
related data. The data contain abundant knowledge about the interactions between a …
Association rule discovery with the train and test approach for heart disease prediction
C Ordonez - IEEE transactions on information technology in …, 2006 - ieeexplore.ieee.org
Association rules represent a promising technique to improve heart disease prediction.
Unfortunately, when association rules are applied on a medical data set, they produce an …
Unfortunately, when association rules are applied on a medical data set, they produce an …
Knowledge discovery with genetic programming for providing feedback to courseware authors
We introduce a methodology to improve Adaptive Systems for Web-Based Education. This
methodology uses evolutionary algorithms as a data mining method for discovering …
methodology uses evolutionary algorithms as a data mining method for discovering …
Identifying risk factors for adverse diseases using dynamic rare association rule mining
The increase in mortality rate due to life-threatening diseases has become an issue of
concern in today's world. Early detection and diagnosis of diseases thus becomes …
concern in today's world. Early detection and diagnosis of diseases thus becomes …
Constraining and summarizing association rules in medical data
C Ordonez, N Ezquerra, CA Santana - Knowledge and information …, 2006 - Springer
Association rules are a data mining technique used to discover frequent patterns in a data
set. In this work, association rules are used in the medical domain, where data sets are …
set. In this work, association rules are used in the medical domain, where data sets are …
Comparing association rules and decision trees for disease prediction
C Ordonez - Proceedings of the international workshop on …, 2006 - dl.acm.org
Association rules represent a promising technique to find hidden patterns in a medical data
set. The main issue about mining association rules in a medical data set is the large number …
set. The main issue about mining association rules in a medical data set is the large number …
Customer pattern search for after-sales service in manufacturing
JS Ahn, SY Sohn - Expert Systems with Applications, 2009 - Elsevier
Manufacturing corporations aim to sell their goods while they try to keep a sound customer
relationship by providing high quality after-sales service (A/S). This is because while such …
relationship by providing high quality after-sales service (A/S). This is because while such …
Discovering medical knowledge using association rule mining in young adults with acute myocardial infarction
The knowledge discovery has been widely applied to mine significant knowledge from
medical data. Nevertheless, previous studies have produced large numbers of imprecise …
medical data. Nevertheless, previous studies have produced large numbers of imprecise …
Reliable representations for association rules
Association rule mining has contributed to many advances in the area of knowledge
discovery. However, the quality of the discovered association rules is a big concern and has …
discovery. However, the quality of the discovered association rules is a big concern and has …