Experimental means have advanced significantly since the early years of paper, wire, stick, and ball modeling techniques and now include mathematical approaches that use advanced computer systems and ...

will lead a course in data and text mining in bioinformatics at the National Institute of Technology – Calicut (NIT-C) next week. BioMap is a system which implements methods for the analysis of ...

The scramble is on to standardize biological information and build data-mining “bioinformatics” systems that will allow the research community to truly benefit from the flood of new information.

This cross-cutting research strand provides core expertise in bioinformatics, software development ... Analysing this wealth of high-dimensional data requires cutting edge data science tools and ...

His research interests are in data mining, bioinformatics, big data analytics, and knowledge discovery. J. Zhang, Z. Jiang, X. Hu, and B. Song. "A Novel Graph Attention Adversarial Network for ...

and application of techniques related to data mining, visual analytics, social-media trend spotting, human-computer interaction, data analysis, and information policy. Our Data Science faculty ...

Data mining is a process that turns large volumes of raw data into actionable intelligence. Data mining uses statistics and artificial intelligence to look for trends and anomalies in data.