articleProceedings of the VLDB EndowmentAug 1, 2012Closed access

Approximate frequency counts over data streams

Google (United States) · Stanford University

Indexed incrossref

Abstract

Research in data stream algorithms has blossomed since late 90s. The talk will trace the history of the Approximate Frequency Counts paper, how it was conceptualized and how it influenced data stream research. The talk will also touch upon a recent development: analysis of personal data streams for improving our quality of lives.

Citation impact

1,195
total citations
FWCI
112.72
Percentile
100%
References
31
Citations per year

Authors

2

Topics & keywords

Keywords
  • STREAMS
  • TRACE (psycholinguistics)
  • Data stream mining
  • Data stream
  • Computer science
  • Quality (philosophy)
  • Data quality
  • Data science
UN Sustainable Development Goals
  • Industry, innovation and infrastructure
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