Titlebook: Big Data; A Primer Hrushikesha Mohanty,Prachet Bhuyan,Deepak Chenthat Book 2015 Springer India 2015 Big Data Applications.Machine Learning.

黑暗社會(huì)

書目名稱Big Data影響因子(影響力)




書目名稱Big Data影響因子(影響力)學(xué)科排名




書目名稱Big Data網(wǎng)絡(luò)公開度




書目名稱Big Data網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Big Data被引頻次




書目名稱Big Data被引頻次學(xué)科排名




書目名稱Big Data年度引用




書目名稱Big Data年度引用學(xué)科排名




書目名稱Big Data讀者反饋




書目名稱Big Data讀者反饋學(xué)科排名

eczema

Big Data Architecture, per analytic performed. There are three functional aspects to big data—data capture, data R&D, and data product. These three aspects must be placed in a framework for creating the data architecture. We discuss each of these aspects in depth in this chapter. The goal of big data is data-driven decis

AXIS

Big Data Processing Algorithms,regation components for synchronization are some of the techniques being used in these algorithms to achieve the goals. MapReduce has been adopted in Big Data problems widely. This chapter demonstrates how MapReduce enables analytics to process massive data with ease. This chapter also provides exam

nominal

壓倒性勝利

HACK

GRIPE

https://doi.org/10.1007/978-1-4613-3843-7regation components for synchronization are some of the techniques being used in these algorithms to achieve the goals. MapReduce has been adopted in Big Data problems widely. This chapter demonstrates how MapReduce enables analytics to process massive data with ease. This chapter also provides exam

放棄

畏縮

bibliophile