Computational Intelligence and Data Analytics Lab

Computational Intelligence and Data Analytics are active areas of current research for their potential application to many real-life problems. Computational intelligence is a set of nature-inspired computational methodologies and approaches to address complex real-world problems to which mathematical or traditional modeling can be useless for a few reasons: the processes might be too complex for mathematical reasoning, it might contain some uncertainties during the process, or the process might simply be stochastic in nature. Computational intelligence has now emerged as a powerful tool for information processing, decision making, and knowledge management and has been successfully developed in areas such as neural networks, fuzzy systems, evolutionary algorithms, bio-medicine. Recently, data generation at huge scales from various sources like streaming data, social media content, electronic medical records, genomic and proteomic studies, and similar areas forms a data deluge that is hard to manage using traditional database technologies. Data analytics (DA) is the process of examining data sets in order to draw conclusions about the information they contain, increasingly with the aid of specialized systems and software. Data analytics technologies and techniques are widely used in commercial industries to enable organizations to make more-informed business decisions and by scientists and researchers to verify or disprove scientific models, theories and hypotheses.