By Kuan-Ching Li,Hai Jiang,Laurence T. Yang,Alfredo Cuzzocrea
As today’s companies are shooting exponentially better quantities of knowledge than ever, now's the time for companies to reconsider how they digest that facts. via complicated algorithms and analytics suggestions, businesses can harness this knowledge, notice hidden styles, and use the newly got wisdom to accomplish aggressive advantages.
Presenting the contributions of major specialists of their respective fields, Big facts: Algorithms, Analytics, and Applications bridges the space among the vastness of huge info and the perfect computational tools for clinical and social discovery. It covers basic matters approximately mammoth information, together with effective algorithmic tips on how to strategy information, higher analytical thoughts to digest info, and consultant functions in diversified fields, reminiscent of medication, technological know-how, and engineering. The publication is equipped into 5 major sections:
- Big info Management—considers the study concerns with regards to the administration of huge facts, together with indexing and scalability aspects
- Big facts Processing—addresses the matter of processing substantial facts throughout a variety of resource-intensive computational settings
- Big info circulate options and Algorithms—explores learn matters in regards to the administration and mining of huge info in streaming environments
- Big facts Privacy—focuses on versions, ideas, and algorithms for retaining vast facts privacy
- Big information Applications—illustrates sensible purposes of huge info throughout a number of domain names, together with finance, multimedia instruments, biometrics, and satellite tv for pc monstrous info processing
Overall, the e-book experiences on state of the art experiences and achievements in algorithms, analytics, and functions of huge information. It presents readers with the root for extra efforts during this hard medical box that might play a number one function in next-generation database, facts warehousing, information mining, and cloud computing learn. It additionally explores comparable functions in different sectors, masking applied sciences for media/data verbal exchange, elastic media/data garage, cross-network media/data fusion, and SaaS.
Read or Download Big Data: Algorithms, Analytics, and Applications (Chapman & Hall/CRC Big Data Series) PDF
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Extra info for Big Data: Algorithms, Analytics, and Applications (Chapman & Hall/CRC Big Data Series)
Big Data: Algorithms, Analytics, and Applications (Chapman & Hall/CRC Big Data Series) by Kuan-Ching Li,Hai Jiang,Laurence T. Yang,Alfredo Cuzzocrea