Title :
Data mining - a semantic model
Author :
Fermández, Covadonga ; Martínez, Juan F. ; Wasilewska, Anita ; Hadjimichae, Mike ; Menasalvas, Ernestina
Author_Institution :
Fac. de Inf., Univ. Politecnica de Madrid, Spain
fDate :
6/24/1905 12:00:00 AM
Abstract :
Data mining techniques applied to decision support in real-life problems require a multi-step process. Inputs and outputs of these steps require some standard format to be followed in order to achieve a useful platform for the execution of data mining algorithms. There is a need to develop a uniform model where every operation can be expressed in a standard way, allowing algorithms to cooperate and to reuse results. We present, first, a common structure for the representation of inter-step results, and second, a model of the operator, i.e. the entity that handles and transforms this common structure according to a basic data mining algorithm
Keywords :
data mining; decision support systems; semantic networks; algorithm cooperation; algorithm execution; common structure; data mining; decision support; inter-step results representation; multi-step process; operator model; results reuse; semantic model; standard format; uniform model; Clustering algorithms; Computer science; Data analysis; Data mining; Data preprocessing; Decision trees; Knowledge representation; Laboratories; Relational databases; Standards development;
Conference_Titel :
Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7280-8
DOI :
10.1109/FUZZ.2002.1006630