The huge amount of data being handled today in any environment, such as energy,
economics or healthcare, makes data management systems key to extracting information …

Feature vectors are extracted to represent objects in many classification tasks, such as text
classification. Due to the high dimensionality of these raw feature vectors, the classification …

In this paper we have addressed the extraction of hidden knowledge from medical records
using data mining techniques such as association rules in conjunction with fuzzy logic in a …

The decision tree is a widely used decision support model, which can quickly mine effective
decision rules based on the dataset. The decision tree induction algorithm for continuous …

The belief rules which extend the classical fuzzy IF-THEN rules with belief consequent parts
have been widely used for classifier design due to their capabilities of building linguistic …

The discovery and exploitation of hidden information in collected data have gained attention
in many areas, particularly in the energy field due to their economic and environmental …

The capacity to interact with environments, understand them, and make judgments on time
defines smartness, the foundation of smart cities, and civilizations. The main motivation of …

The traditional RDBMS is not sufficient to manage highly scalable web log data. Hadoop
framework can overcome the problems raised in traditional systems. Hadoop is a …

Since the Bonn 2011 conference, the “water-energy-food”(WEF) nexus has aroused global
concern to promote sustainable development. The WEF nexus is a complex, dynamic, and …

Aiming at the problem that the operating data of photovoltaic power station is characterized
by high suddenness and irregularity, which affects the accuracy of abnormal identification of …