• Tidak ada hasil yang ditemukan

Big Data Analytics for Cloud, IoT and Cognitive Learning pdf pdf

N/A
N/A
Protected

Academic year: 2019

Membagikan "Big Data Analytics for Cloud, IoT and Cognitive Learning pdf pdf"

Copied!
428
0
0

Teks penuh

Loading

Gambar

Figure . Big data characteristics:
Figure . The evolution of data science up to the big data era.
Figure . Functional components of data science supported by some software libraries on the cloudin 2016.
Figure . Hype cycle for emerging high technologies to reach maturity and industrial productivitywithin the next decade
+7

Referensi

Dokumen terkait

More than that, they have driven changes in what we consider to be data available for analysis, what we view the possible results to be, how we view information itself, and

MSN is a class of networks in which small devices capable of sensing their sur- roundings moved in a space over time to collaboratively monitor physical and environmental conditions [

BI can be the heart of an enterprise performance management system, and the business information and analyses BI delivers can be used to drive operational improvements in key

While social media, however, dominate current discussions about the potential of big data to provide companies with a competitive advantage, it is likely that really

Azure Data Marketplace has a strong emphasis on connecting data consumers to publishers, and most closely approximates the popular concept of an.. “ iTunes for Data .” Big name

The performance of the proposed scheme is analyzed using metrics like energy consumption, energy conserved, predictive accuracy, data performance rate, execution delay, cloud accuracy,

Conclusions Using organizational theories, this study provides a comprehensive framework that considers the features of supply networks, smart city technologies, Big Data, governance

Figure 1 Various data gathering points on social media platforms The key application of BDA is to provide accurate forecasting, especially demand forecasting with the aim to predict