원문정보
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
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