Titlebook: Big Data Analytics; Second International Vasudha Bhatnagar,Srinath Srinivasa Conference proceedings 2013 Springer International Publishing

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A?cha BenTaieb,Ghassan Hamarnehexpensive to deploy due to the high initial fixed costs of installing large-scale sensor-based systems. Sensors also require maintenance, thereby further adding to the costs. Moreover, sensors cannot be cost-effectively installed at all possible locations. Furthermore, some data collection scenarios

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A?cha BenTaieb,Ghassan Hamarnehcan be said . if it appears periodically throughout the database. We have observed that it is difficult to mine periodic-frequent patterns in very large databases. The reason is that the occurrence behavior of the patterns can vary over a period of time causing periodically occurring patterns to be

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https://doi.org/10.1007/978-94-011-6341-5ively parallel ways (e.g., Map/Reduce, Bulk Synchronous Parallelization), as well as the ability to process unstructured data. This has allowed one to solve problems that were not possible (or extremely time consuming) earlier. Many algorithms are being mapped to new paradigms to deal with larger ve

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https://doi.org/10.1007/978-94-011-6341-5tween players who have scored runs in partnership. Results of these complex network models based on partnership are compared with performance of teams. Our study examines Test cricket, One Day Internationals (ODIs) and T20 cricket matches of the Indian Premier League (IPL). We find that complex netw

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https://doi.org/10.1007/978-94-015-8210-0r. The gps positions are lined to the gps positions of the tourist sites (restaurants, beaches, museums ...). [9] These links are presented as a summary of the data. This summary is used to run specific versions of machine learning algorithms because of their geo-graphical dimension. This experiment

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Roy W. Martin,Christopher C. Johnsonact, Transform and Load (ETL). Analytics is run on the DWH. The largest cost and execution time is associated with the ET part of this workflow. Recent approaches based on Hadoop, an open source Apache framework for data intensive scalable computing, provide an alternative for ET which is both cheap

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Vasudha Bhatnagar,Srinath SrinivasaFast-track conference proceedings.State-of-the-art research.Up to date results