By Kuan-Ching Li,Hai Jiang,Laurence T. Yang,Alfredo Cuzzocrea
As today’s enterprises are shooting exponentially higher quantities of knowledge than ever, now's the time for companies to reconsider how they digest that information. via complicated algorithms and analytics recommendations, corporations can harness this information, realize hidden styles, and use the newly received 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 massive info and the proper computational tools for clinical and social discovery. It covers primary concerns approximately immense facts, together with effective algorithmic tips on how to method facts, larger analytical suggestions to digest information, and consultant purposes in diversified fields, equivalent to medication, technological know-how, and engineering. The publication is prepared into 5 major sections:
- Big facts Management—considers the study matters regarding the administration of massive information, together with indexing and scalability aspects
- Big facts Processing—addresses the matter of processing titanic facts throughout quite a lot of resource-intensive computational settings
- Big information move concepts and Algorithms—explores examine concerns in regards to the administration and mining of huge info in streaming environments
- Big information Privacy—focuses on types, recommendations, and algorithms for conserving huge info privacy
- Big info Applications—illustrates useful purposes of huge info throughout a number of domain names, together with finance, multimedia instruments, biometrics, and satellite tv for pc substantial facts processing
Overall, the publication studies on cutting-edge reviews and achievements in algorithms, analytics, and purposes of huge info. It presents readers with the foundation for additional efforts during this not easy medical box that might play a number one position in next-generation database, information warehousing, information mining, and cloud computing examine. It additionally explores similar purposes in various sectors, overlaying applied sciences for media/data conversation, 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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Additional 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