Distributed systems have really gained ground in several applications domains. Recently,
extracting valuable knowledge from large volumes of data in distributed setting is a major …

Data mining has been widely applied to analyze data for decision makers. However,
traditional data mining techniques are insufficient for analysis of multiple data sources. To …

El trabajo de investigación presentado en esta memoria de tesis se centra en el
descubrimiento de conocimiento en bases de datos, en concreto, en la extracción de …

With the ever-growing database sizes, we have enormous quantities of data. Therefore,
there is a desperate need to discover hidden knowledge in most cases in such data, but the …

Una alternativa posible para descubrir conocimiento sobre bases de datos distribuidas,
usando técnicas de Minería de Datos, es rehusar los modelos de minería de datos locales …

Numerous research works are carried out in the field of data mining, especially in the areas
of association rule mining, knowledge integration in the distributed data mining and privacy …

Data mining is really a procedure for nontrivial extraction of implicit, formerly unknown, and
potentially helpful information from data in databases. Actually, the word “knowledge …

Resumen MORALES VEGA, Daymi; MARTIN RODRIGUEZ, Diana; WILFORD RIVERA,
Ingrid y ROSETE SUAREZ, Alejandro. Integration of Association Rules and Clustering …

Data mining is a process of nontrivial extraction of implicit, previously unknown, and
potentially useful information (such as knowledge rules, constraints, and regularities) from …