Earticle

초록

영어

Data analytics and machine learning has always been of great importance in almost every field especially in business decision making and strategy building, in healthcare domain, in text mining and pattern identification on the web, in meteorological department, etc. The daily exponential growth of data today has shifted the normal data analytics to new paradigm of Big Data Analytics and Big Data Machine Learning. We need tools to perform online data analysis on streaming data for achieving faster learning and faster response in data analytics as well as maintaining scalability in terms of huge volume of data. SAMOA (Scalable Advanced Massive Online Analysis) is a recent framework in this reference. This paper discusses the architecture of this SAMOA framework and its directory structure. Also it expresses a practical experience of configuring and deployment of the tool for handling massive online analysis on Big Data.

목차

Abstract
 1. Introduction
 2. Background
  2.1. Maven Building Tool
  2.2. Standard Directory Structure of Maven
  2.3. GitHub
 3. SAMOA Framework
  3.1. SAMOA Users and Design Goals
  3.2. Usage Perspective Architecture of SAMOA
  3.3. SAMOA Modular Components
 4. Execution of SAMOA Sample Example from the Scratch
  4.1. Installing and Configuring Maven
  4.2. Download SAMOA
  4.3. Execute the Package Build Phase
  4.4. Collect Data Set
  4.5. Execute a Task of SAMOA on a Specific Platform
 5. Conclusion
 6. Future Perspective
 Acknowledgment
 References

키워드

저자

• Bakshi Rohit Prasad [ Indian Institute of Information Technology, Allahabad ]
• Sonali Agarwal [ Indian Institute of Information Technology, Allahabad ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605