Titlebook: Network Data Analytics; A Hands-On Approach K. G. Srinivasa,Siddesh G. M.,Srinidhi H. Book 2018 Springer International Publishing AG 2018

Mosquito

書目名稱Network Data Analytics影響因子(影響力)




書目名稱Network Data Analytics影響因子(影響力)學(xué)科排名




書目名稱Network Data Analytics網(wǎng)絡(luò)公開度




書目名稱Network Data Analytics網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Network Data Analytics被引頻次




書目名稱Network Data Analytics被引頻次學(xué)科排名




書目名稱Network Data Analytics年度引用




書目名稱Network Data Analytics年度引用學(xué)科排名




書目名稱Network Data Analytics讀者反饋




書目名稱Network Data Analytics讀者反饋學(xué)科排名

Iatrogenic

同步信息

宣稱

Basics of Machine LearningIn this chapter, the basics of machine learning are introduced with its key terminologies and its tasks. The different types of tasks that are involved in machine learning are data acquisition, data cleaning, data modeling, and data visualization. These tasks are discussed in this chapter with steps on getting started with machine learning.

原始

Other Analytical Techniquesroviding the suitable offers for the customers. Random forest is a classification technique that builds a number of decision trees based on the decision points in the classification. In this chapter, these analytical techniques are discussed with examples.

GUILT

增減字母法

柳樹；枯黃

驚惶

平常

Apache Hiver processing the data. In this chapter, Hive and its architectural components are discussed first. Later, the chapter is followed with different kinds of operations that can be executed in Hive and examples on it. The chapter concludes with the network log and call log case studies with Hive.