Parallel processing has turned into one of the emerging fields of machine learning due to
providing consistent work by performing several tasks simultaneously, enhancing reliability …

Abstract The National Institute of Standards and Technology (NIST) has identified natural
language policies as the preferred expression of policy and implicitly called for an …

Since the last decade, the collective intelligent behavior of groups of animals, birds or
insects have attracted the attention of researchers. Swarm intelligence is the branch of …

The proposed work describes a rough set based incremental crime report labelling
technique. The named entities are recognized from the available crime reports to identify the …

Clustering is by far the most commonly used unsupervised data mining techniques for
discovering interesting knowledge and patterns. It aims to group a set of data objects into …

In recent years, the volume of information in digital form has increased tremendously, due to
the increased popularity of the World Wide Web. As a result, the use of techniques to extract …

This chapter presents and summarizes the proposed method that was used to achieve the
research objectives of the present study, including (i) a new weight scheme, that is, length …

Ontology alignment is an important way of establishing interoperability between Semantic
Web applications that use different but related ontologies. Ontology alignment is the process …

In this paper, a comparative analysis of text document clustering algorithms based on latent
semantic indexing dimension reduction technique is done. In recent days, the huge amount …

This chapter presents the results of the proposed methods to solve the TFSP and TDCP. The
general design of the experiments in the first stage is shown in Fig. 5.1. Each experiment …