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
2Topics & keywords
Topics
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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