Study of Distributed Framework Hadoop and Overview of Machine Learning using Apache Mahout

被引：0
|
作者：
Solanki, Raxitkumar [1 ]
Ravilla, Sree Harsha [1 ]
Bein, Doina [1 ]
机构：
[1] Calif State Univ Fullerton, Dept Comp Sci, Fullerton, CA 92634 USA
来源：
2019 IEEE 9TH ANNUAL COMPUTING AND COMMUNICATION WORKSHOP AND CONFERENCE (CCWC) | 2019年
关键词：
Hadoop; Hadoop Commons; Map Reduce; HDFS (Hadoop distributed file system); Yarn (yet another resource negotiator); Apache Mahout;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The amount of data generated every day in digital format is overwhelming, so we need storage mechanisms to store it and manage it. The technical solutions to store and manage the data should be scalable to allow extraction of relevant information and analysis. We describe the initial steps on using Apache Mahout to find out the total number of books written by authors of different age groups, analyzing the patterns in the authors' age, and predicting which age group have authored the highest number of books in different calendar years. Publishing houses and literary agents can use our proposed software.
引用
收藏
页码：252 / 257
页数：6
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