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With advances in technology, high volumes of a wide variety of valuable data of different veracity can be easily collected or generated at a high velocity in the current era of big data. Embedded in these big data are implicit, previously unknown and potentially useful information. Hence, fast and scalable big data science and engineering solutions that mine and discover knowledge from these big data...
Distributed Applications from different domains like Health care, E-Commerce, science, social networks etc., tend to generate large volumes of heterogeneous data that grow exponentially over a period of time leading to big data sets. Descriptive Analytics, on big data sets, pose a great challenge for traditional data analytical tools, since it is to be performed on the full data set, unlike predictive...
Big-data is an excellent source of knowledge and information from our systems and clients, but dealing with such amount of data requires automation, and this brings us to data mining and machine learning techniques. In the ICT sector, as in many other sectors of research and industry, platforms and tools are being served and developed in order to help professionals to treat their data and learn from...
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