Big Data Analytics

In information technology, Big Data is a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. The challenges include capture, curation, storage, search, sharing, analysis, and visualization [Wikipedia]. Our laboratory focuses on researching Big Data Analytics, i.e., the process of examining large amount of data of a variety of types to uncover hidden patterns, unknown correlations and other useful information [searchbusinessanalytics]. Currently, we are interested in parallelizing various probabilistic topic models and semantic analysis algorithms on MapReduce framework.

Big Data Analytics

Big Data Analytics