Text mining in big data analytics is emerging as a powerful tool for harnessing the power of
unstructured textual data by analyzing it to extract new knowledge and to identify significant …

The new technological advances achieved during the last decade allowed the scientific
community to investigate and employ neurophysiological measures not only for research …

Owing to important applications such as mining web page traversal sequences, many
algorithms have been introduced in the area of sequential pattern mining over the last …

Log files give insight into the state of a computer system and enable the detection of
anomalous events relevant to cyber security. However, automatically analyzing log data is …

Early prediction of ongoing human activity has become more valuable in a large variety of
time-critical applications. To build an effective representation for prediction, human activities …

During the last two decades the retailing industry is finding itself in a state of constant
evolution and transformation. Globalization, mergers and acquisitions, and technological …

An educational institution needs to have an approximate prior knowledge of enrolled
students to predict their performance in future academics. This helps them to identify …

This article reports on a detailed investigation of PubMed users' needs and behavior as a
step toward improving biomedical information retrieval. PubMed is providing free service to …

Web usage mining is the process of extracting useful information from users history
databases associated to an e-commerce website. The extraction is usually performed by …

The in-depth analysis of human behavior has been increasingly recognized as a crucial
means for disclosing interior driving forces, causes and impact on businesses in handling …