Big Data, Data Science and MapReduce are three keywords that have flooded our research papers and technical articles during the last two years. Also, due to the inherent distributed nature of computational infrastructures supporting Data Science (like Clouds and Grids), it is natural to view Distributed Intelligence as the most natural underlying paradigm for novel Data Science challenges. Following this major trend, in this paper we provide a background of these new terms, followed by a discussion of recent developments in the data mining and data warehousing areas in the light of aforementioned keywords. Finally, we provide our insights of the next stages in research and developments in this area.
Data Science and Distributed Intelligence: Recent Developments and Future Insights
Cuzzocrea Alfredo;
2013
Abstract
Big Data, Data Science and MapReduce are three keywords that have flooded our research papers and technical articles during the last two years. Also, due to the inherent distributed nature of computational infrastructures supporting Data Science (like Clouds and Grids), it is natural to view Distributed Intelligence as the most natural underlying paradigm for novel Data Science challenges. Following this major trend, in this paper we provide a background of these new terms, followed by a discussion of recent developments in the data mining and data warehousing areas in the light of aforementioned keywords. Finally, we provide our insights of the next stages in research and developments in this area.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
