Earticle

초록

영어

As the revolution of Web 2.0 technology, more and more novel service industries, such as social network, web of things and mobile internet emerge. The data of Web explosive growth is called the “big data”, which is hottest. Because of the great value of big data of Web, how to achieve the Web data and how to mine and utilize it, the two are paid attention by an increasing number of researchers. Under the big data circumstance, the Web data is characterized by huge scale, various kinds and high-speed bitstream. Therefore, we can investigate, further, the Web data mining, integration, interpretation and analysis. Simultaneously, Web data mining and integration still confront challenges consist of data scale, data variety, data timeliness and protection of privacy.

목차

Abstract
 1. Introduction
 2. Web Data Mining and Integrating
  2.1 Data Mining and Integrating
  2.2 Data Analysis
 3. Challenges Big Date Integrating and Mining Encounter
  3.1 Data Scale Exponentially Growing
  3.2 The Diversity of Data Types
  3.3 The Timeliness of Large Web Data Processing
  3.4 Privacy Protection
 4. Conclusion
 Acknowledgements
 References

키워드

저자

• Su-Zhi Zhang [ College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, China ]
• Xu-Kai Qu [ College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, China ]
• Jia-bin Sun [ College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605