Abstract The Arctic Region experienced a series of significant changes due to shifting
climate conditions, resulting in multiple opportunities and challenges for international actors …

The text clustering is considered as one of the most effective text document analysis
methods, which is applied to cluster documents as a consequence of the expanded big data …

Data clustering is a data mining technique that discovers hidden patterns by creating groups
(clusters) of objects. Each object in every cluster exhibits sufficient similarity to its …

Conventional textual documents clustering algorithms suffer from several shortcomings,
such as the slow convergence of the immense high-dimensional data, the sensitivity to the …

In this paper, a swarm-based optimization algorithm, normative fish swarm algorithm (NFSA)
is proposed as an effective global and local search technique to obtain effective global …

Supervised machine learning and opinion lexicon are the most frequent approaches for
opinion mining, but they require considerable effort to prepare the training data and to build …

Computational intelligence and soft computing has many promising technologies such as
Text Mining. Document Classification using soft computing techniques like fuzzy logic helps …

Extracting knowledge from big document databases has long been a challenge. Most
researchers do a literature review and manage their document databases with tools thatjust …

K-Means is the worldwide admirable clustering technique in which the datasets are
partitioned into several clusters to solve various real world clustering problems. K-Means is …

Nowadays computing systems are able to learn, reason, hear and see. Enormous amount of
new opportunities are created by artificial Intelligence. Artificial Intelligence has given two …