Skip to main content
SpringerLink
Log in

Research Status and Prospect of Data Extraction and Cleaning Technology in Large Environment

  • Conference paper
  • First Online:
Recent Developments in Data Science and Business Analytics

Part of the book series: Springer Proceedings in Business and Economics ((SPBE))

  • 2460 Accesses

Abstract

In the era of big data, how to get effective data from the massive data, the data obtained by the relevant analysis and processing is particularly important. This paper first introduces the importance of data cleaning and data extraction technology, secondly from different angles, introduced the two technology, and then summarizes the current domestic and international data cleaning and data extraction technology research, and finally describes the data extraction and data cleaning technology development prospects. It has a certain guiding role in the research of data extraction and cleaning technology in the future.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Rahm, E., & Do, H. H. (2000). Data cleaning problems and current approaches. IEEE Data Engineering Bulletin, 23(4), 3–13.

    Google Scholar 

  2. Rifen, W., & Chengzhi, Z. (2007). Review of data cleaning research. J Modern book information technology, 158(12), 50–57.

    Google Scholar 

  3. Harte-Hanks Trillium Software[EB/OL]. (2007). http://www.trillium software.com. [2007-01-09].

  4. Li, Y. (2013). Study on data extraction technology based on network. Harbin.

    Google Scholar 

  5. Congjian, B. (2007). Research on key techniques of data extraction. Jiangsu university.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Economic Management, China Institute of Industrial Relations, Beijing, Chao yang District, China

    Mingzhe Wang

  2. Beijing Wuzi University, Beijing, Tong zhou District, China

    Zhaochan Li

Authors
  1. Mingzhe Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zhaochan Li
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Mingzhe Wang .

Editor information

Editors and Affiliations

  1. Department of Business Systems and Analytics, La Salle University, Philadelphia, Pennsylvania, USA

    Madjid Tavana

  2. Department of Computer Science and Engineering, SOA University, Bhubaneswar, Odisha, India

    Srikanta Patnaik

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Wang, M., Li, Z. (2018). Research Status and Prospect of Data Extraction and Cleaning Technology in Large Environment. In: Tavana, M., Patnaik, S. (eds) Recent Developments in Data Science and Business Analytics. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-319-72745-5_32

Download citation

Publish with us

Policies and ethics

Search

Navigation