Encyclopedia of Database Systems

2018 Edition
| Editors: Ling Liu, M. Tamer Özsu

Text Streaming Model

  • Ning LiuEmail author
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-8265-9_423


Text streaming model (TSM) is one of the fundamental problems in streaming model and text mining. It aims to process a sequence of text data that comes at a rate. In this model, text data does not take the form of arriving in multiple, continuous, rapid, time-varying data streams. Input text streaming D1, D2, …. arrives sequentially, one by one, and the aim of TSM is to analysis the streaming text data.

Historical Background

Mining the streaming data has attracted much attention of researchers in different areas due to its great industrial and commercial application potentials. Specifically, text streaming data models are of interest to the machine learning and data mining community. The world wide web has many text data, such as web pages, news-feeds, emails and blogs. And most of them are classical text streaming data. Then, how to model text streaming data is important.

Traditional text data model is Vector Space Model (VSM). One of the commonly used VSM is the Bag of...

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Recommended Reading

  1. 1.
    Abadi D, Carney D, Çetintemel U, Cherniack M, Convey C, Erwin C, Galvez E, Hatoun M, Maskey A, Rasin A, Singer A, Stonebraker M, Tatbul N, Xing Y, Yan R, Zdonik S. Aurora: a data stream management system. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 2003. p. 666.Google Scholar
  2. 2.
    Babcock B, Babu S, Datar M, Motwani R, Widom J. Models and issues in data stream systems. In: Proceedings of the 21st ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems; 2002. p. 1–16.Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Microsoft Research AsiaBeijingChina

Section editors and affiliations

  • Zheng Chen
    • 1
  1. 1.Microsoft Research AsiaMicrosoft CorporationBeijingChina