By Kuan-Ching Li, Hai Jiang, Laurence T. Yang, Alfredo Cuzzocrea
"Data are generated at an exponential price world wide. via complicated algorithms and analytics ideas, organisations can harness this knowledge, detect hidden styles, and use the findings to make significant judgements. Containing contributions from best specialists of their respective fields, this publication bridges the distance among the vastness of massive facts and the ideal computational tools for clinical and social discovery. It additionally explores similar purposes in various sectors, protecting applied sciences for media/data communique, elastic media/data garage, cross-network media/data fusion, SaaS, and more"-- �Read more...
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The book’s contributing authors are one of the best researchers in swarm intelligence. The ebook is meant to supply an summary of the topic to newbies, and to supply researchers an replace on fascinating fresh advancements. Introductory chapters care for the organic foundations, optimization, swarm robotics, and purposes in new-generation telecommunication networks, whereas the second one half comprises chapters on extra particular issues of swarm intelligence examine.
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Additional resources for Big data : algorithms, analytics, and applications
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2. The map phase takes the input data and produces intermediate data tuples. Each tuple consists of a key and a value. In this example, the word occurrences of each file are counted in the map phase. Then in the shuffle phase, these data tuples are ordered and distributed to reducers by their keys. The shuffle phase ensures that the same reducer can process all the data tuples with the same key. Finally, during the reduce phase, the values of the data tuples with the same key are merged together for the final result.