Due to the diversity of appliances and users' power consumption behaviors, it is challenging
to accurately extract load signature samples for non-intrusive load monitoring (NILM) in …

While many clustering algorithms have been published, existing algorithms are often
afflicted by some problems in processing real-world data. We present an algorithm to deal …

Open-world learning is a problem where an autonomous agent detects things that it does
not know and learns them over time from a non-stationary and never-ending stream of data; …

To solve the problem of current popular clustering algorithms needing to set the number of
clusters and hyperparameters according to prior knowledge, we use the average nearest …

Unlike a simple network with just nodes and edges in between them, the real-world
networks can contain much more, such as a set of attributes associated with every node in …

The accuracy of graph based learning techniques relies on the underlying topological
structure and affinity between data points, which are assumed to lie on a smooth …

Abstract Background: In WSN (Wireless Sensor Network), various nodes are interrelated
with one another for transmitting the data from source node to destination node through …

How can we reach a large audience with our message? What is the best way to reach a
large audience with an advertisement? These are questions that are asked many times in …

In recent years, social media have revolutionized the way people communicate and interact
with each other. This development has transformed the Internet into a more personal and …

In our current society, the availability of data has gone from scarce to abundant: huge
volumes of data are generated every second. A significant part of these data are generated …