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논문검색

Data Integration and Mining based on Web Big Data

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

저자정보

  • 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

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