Title :
OWA operators in data modeling and reidentification
Author_Institution :
Inst. d´´Investigacio en Intel.ligencia Artificial-CSIC, Catalunya, Spain
Abstract :
This paper is devoted to the application of aggregation operators and to the application of ordered weighting averaging (OWA) operators to data mining. In particular, we consider two application of OWA operators in this field: model building and information extraction. The latter application is oriented to the reidentification procedures.
Keywords :
data mining; identification; information retrieval; mathematical operators; sensor fusion; aggregation operator; data mining; data modeling; information extraction; ordered weighting averaging operators; reidentification procedure; Artificial intelligence; Bagging; Couplings; Data mining; Data models; Data privacy; Decision making; Open wireless architecture; Sensor phenomena and characterization; Sensor systems; Aggregation operators; OWA; learning models; operators; ordered weighting averaging; privacy preserving data mining; record linkage; reidentification methods; weighted mean;
Journal_Title :
Fuzzy Systems, IEEE Transactions on
DOI :
10.1109/TFUZZ.2004.834814
