2012•Proceedings of the VLDB EndowmentRequires access

Approximate frequency counts over data streams

Gurmeet Singh Manku, Rajeev Motwani

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.

About this research paper

What this paper is about

Why it matters

OpenAlex reports 1193 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Key concepts: STREAMS, TRACE (psycholinguistics), Data stream mining, Data stream, Computer science, Quality (philosophy), Data quality, Data science