Titlebook: Big Data in Complex Systems; Challenges and Oppor Aboul Ella Hassanien,Ahmad Taher Azar,Jemal H. Aba Book 2015 Springer International Publi

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2197-6503 ters in the book opens with a chapter abstract and key terms list. The chapters are organized along the lines of problem description, related works, and analysis of the results and comparisons are provided whenever feasible..978-3-319-35290-9978-3-319-11056-1Series ISSN 2197-6503 Series E-ISSN 2197-6511

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Function spaces and distributions,ices and automated sensors. From all of these sources massive or big data is generated and gathered for finding the useful patterns. The amount of data is growing at the enormous rate, the analyst forecast that the expected global big data storage to grow at the rate of 31.87% over the period 2012-2

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Function spaces and distributions,f novel methods is performed by selected evolutionary algorithms and demonstrated on the astrophysical data sets. Such approach is now characteristic for so called Big Data and Big Analytics. First, we describe some new database architectures that support Big Data storage and processing. We also dis

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Claire Lhuillier,Grégoire Misguichin future generation sequencing technologies have resulted in a tremendous raise in the rate of that protein sequence data are being obtained. Big Data analysis is a clear bottleneck in many applications, especially in the field of bio-informatics, because of the complexity of the data that needs to

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Philippe Mendels,Andrew S. Willsic means of looking into databases to bring out vital information. Retrieving information from ‘Big data’, (as it is often referred to) can be likened to finding ‘a(chǎn) needle in the haystack’. It is worthy of note that while big data has several computational challenges, it also serves as gateway to te