Smart meters (SMs) are an electronic device for recording customer energy consumption in
the time intervals of an hour or less. The use of SMs incurs benefits to people in various …

Machine learning approaches have been developed rapidly and also they have been
involved in many academic findings and discoveries. Additionally, they are widely assessed …

Nowadays, Data Mining is used everywhere for extracting information from the data and in
turn, acquires knowledge for decision making. Data Mining analyzes patterns which are …

We introduce the MuSe-Toolbox-a Python-based open-source toolkit for creating a variety of
continuous and discrete emotion gold standards. In a single framework, we unify a wide …

Clustering is a process of kee** similar data into groups. Clustering is an unsupervised
learning technique as every other problem of this kind; it deals with finding a structure in a …

Gamification has been explored recently as a way to promote content delivery in education,
yielding promising results. However, little is known regarding how it helps different students …

The preliminary study presented within this paper shows a comparative study of various
texture features extracted from liver ultrasonic images by employing Multilayer Perceptron …

Energy hole refers to the critical issue near the sinks for data collecting, this problem effects
the lifetime of wireless sensor network to a great extent. Frequently data forwarding from …

Abstract The Cluster Validity Index is an integral part of clustering algorithms. It evaluates
inter-cluster separation and intra-cluster cohesion of candidate clusters to determine the …

In view of today's information available, recent progress in data mining research has lead to
the development of various efficient methods for mining interesting patterns in large …