Apache Spark has emerged as the de facto framework for big data analytics with its
advanced in-memory programming model and upper-level libraries for scalable machine …

The healthcare industry has become increasingly challenging, requiring retrieval of
knowledge from large amounts of complex data to find the best treatments. Several works …

Recently, increasingly large amounts of data are generated from a variety of sources.
Existing data processing technologies are not suitable to cope with the huge amounts of …

The prospering Big data era is emerging in the power grid. Multiple world-wide studies are
emphasizing the big data applications in the microgrid due to the huge amount of produced …

Natural hazards result in devastating losses in human life, environmental assets and
personal, and regional and national economies. The availability of different big data such as …

Money laundering is the crucial mechanism utilized by criminals to inject proceeds of crime
into the financial system. The primary responsibility of the detection of suspicious activity …

The twenty-first century is a time of intensifying competition and progressive digitization.
Individual employees, managers, and entire organizations are under increasing pressure to …

Big data word is used for datasets whose size and types are beyond traditional data
processing systems. Big data analytics is the advanced technique used to process big data …

Community search is a personalized community discovery problem aimed at finding densely-
connected subgraphs containing the query vertex. In particular, the search for communities …

Recently, distributed processing of large dynamic graphs has become very popular,
especially in certain domains such as social network analysis, Web graph analysis and …