Using a model of parallel distributed processing associated with data mining in the characterization of sexuality in a university population.
Using the framework for developing parallel applications Java Parallel Programming Framework were conducted performance analysis of an application for the clustering data by the method of fuzzy logic combined with Gustafson-Kessel algorithm. In addition to running in a distributed environment, for comparative purposes, were also conducted collections of processing time in environments with a single Personal Computer approach. With the results obtained by collecting time of application, there was a statistical analysis to validate the application and the algorithm as well as the use of computational clustering as a way to increase performance applications.
Computer Science Course, University of Extremo Sul Catarinense, Criciúma, SC, Brazil.
Priscyla Waleska Targino
PW
de Azevedo Simões
Paulo João
PJ
Martins
Rogério Antônio
RA
Casagrandre
Kristian
K
Madeira
Merisandra Côrtes
MC
de Mattos
Sandra Aparecida
SA
Manenti
Maria Inês
MI
da Rosa
Felipe
F
Dal-Pizzol
Ramon
R
Venson
Leandro Natal
LN
Coral
Gabriel Scheffer
GS
de Souza
Jeison Cleiton
JC
Pandini
José Márcio
JM
Cassettari Junior
Gustavo Pasquali
GP
Moretti
Samuel
S
Cesconetto
D000465:Algorithms; D016000:Cluster Analysis; D003195:Computer Communication Networks; D057225:Data Mining; D017143:Fuzzy Logic; D006801:Humans; D010363:Pattern Recognition, Automated / Q000379:methods; D011157:Population Dynamics; D011381:Programming Languages; D012725:Sexual Behavior / Q000706:statistics & numerical data*; D012984:Software; D013334:Students / Q000706:statistics & numerical data*; D014495:Universities / Q000706:statistics & numerical data*