Earticle

초록

영어

Cloud Computing is one of the emerging technologies. This research paper aimed to outline cloud computing and its features, and considered cloud computing for machine learning and data mining. The goal of the paper was to develop a recommendation and search system using big data platform on cloud environment. The main focus was on the study and understanding of Hadoop, one of the new technologies used in the cloud for scalable batch processing, and HBase data model which is a scalable database on top of the Hadoop file system. Accordingly, this project involved the design, analysis and implementation phases for developing the search and recommendation system for staffing purpose. So, mainly the action research method was being followed for this.

목차

Abstract
 1. Introduction
 2. Conceptual Background
 3. Recommendable Search Algorithms
  3.1. K-Nearest Neighbor Algorithm (KNN Algorithm)
  3.2. User-based Collaborative Filtering Algorithm
  3.3. REST Services
 4. Big Data Platform (BDP)
  4.1. Architecture of BDP
  4.2. Data Model of BDP
 5. Recommendation System (RS)
 6. Recommendation System Development
 7. Conclusions
 References

키워드

저자

• Jinhong Kim [ College of Information and Communication Eng., Sungkyunkwan University ]
• Sung-Tae Hwang [ College of Engineering, Hansung University ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Software Engineering and Its Applications

• 간기

  월간

• pISSN

  1738-9984

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605