Sentence examples for big data processing and machine from inspiring English sources

In this review, we will present the background and concept of some recent Internet-based computer technologies such as cloud computing, big data processing and machine learning, followed by their potential applications in radiotherapy, such as treatment planning and dose delivery.

The implemented system has a hybrid architecture of using Spark or Hive for big data processing, and using the machine learning toolkit, MADlib, for doing in-database data analytics in PostgreSQL database.

Established panel methods remain a core component while big data processing and advanced modelling will deal with audience fragmentation and accommodate the growing volume of internet-delivered content.

Spark is therefore becoming the de facto standard for big data processing, and pipelines implemented in Spark can take advantage of Spark libraries such as GraphX [19] for graph processing and MLlib [20] for machine learning.

Cloud-based big data platforms are being widely adopted in industry, due to their advantages of facilitating the implementation of big data processing and enabling elastic service frameworks.

His research interests include network information security and big data processing and mining.

As a result, big data processing and management (capturing and storing big data) has gained significant attention in recent years e.g. the MapReduce paradigm.

The cloud enables parallel computing that is essential for the big data processing, machine learning and smart algorithms that enable 'data-driven' business.

In [11], Wu et al. characterized the features of the big data revolution and proposed big data processing methods with machine learning and data mining algorithms.

In fact, for big data processing, most machine learning techniques are not universal, that is to say, we often need to use specific learning methods according to different data.

This chapter is structured to showcase the challenges and requirements of a big data processing infrastructure and also gives an overview of the core technologies and considerations involved in the concept of big data processing.