This paper presents a survey of evolutionary algorithms designed for clustering tasks. It tries
to reflect the profile of this area by focusing more on those subjects that have been given …

BACKGROUND 0002. As the value and use of information continues to increase, individuals
and businesses seek additional ways to process and store information. One option available …

Determining the number of clusters is an important part of cluster validity that has been
widely studied in cluster analysis. Sum-of-squares based indices show promising properties …

As an important part of social computing, community detection has been attached to more
and more importance in social network analysis. Overlapping communities detection, one of …

When people navigate a space to perform tasks, their body and eye movements are closely
linked. Within the classroom context, characteristics of teachers' body movements may be …

The clustering of web search results–or web document clustering–has become a very
interesting research area among academic and scientific communities involved in …

Traditional parse trees are combined together and enriched with anaphora and rhetoric
information to form a unified representation for a paragraph of text. We refer to these …

Abstract The Memento Aggregator currently polls every known public web archive when
serving a request for an archived web page, even though some web archives focus on only …

The paper presents semantic clustering and artificial neural network (ANN) based learning
analytics software agent for personalised adaptive multi-agent learning system. First of all …

Internet technology enables companies to capture new customers, track their performances
and online behavior, and customize communications, products, services, and prices …