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20172026
most citedComputing Extremely Accurate Quantiles Using t-Digests

42 citations · 194 across the 18 of their papers we have counts for

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10 papers · 1 filter

cs.DS2024★ 3 cited

JumpBackHash: Say Goodbye to the Modulo Operation to Distribute Keys Uniformly to Buckets

Otmar Ertl

Introduction. Distributed data processing and storage systems require efficient methods to distribute keys across buckets. While simple and fast, the traditional modulo-based mappi…

cs.DS2024

ExaLogLog: Space-Efficient and Practical Approximate Distinct Counting up to the Exa-Scale

Otmar Ertl

This work introduces ExaLogLog, a new data structure for approximate distinct counting, which has the same practical properties as the popular HyperLogLog algorithm. It is commutat…

cs.DS2023★ 7 cited

UltraLogLog: A Practical and More Space-Efficient Alternative to HyperLogLog for Approximate Distinct Counting

Otmar Ertl

Since its invention HyperLogLog has become the standard algorithm for approximate distinct counting. Due to its space efficiency and suitability for distributed systems, it is wide…

cs.DS2021

Estimation from Partially Sampled Distributed Traces

Otmar Ertl

Sampling is often a necessary evil to reduce the processing and storage costs of distributed tracing. In this work, we describe a scalable and adaptive sampling approach that can p…

cs.DS2021★ 19 cited

SetSketch: Filling the Gap between MinHash and HyperLogLog

Otmar Ertl

MinHash and HyperLogLog are sketching algorithms that have become indispensable for set summaries in big data applications. While HyperLogLog allows counting different elements wit…

cs.DS2019★ 23 cited

ProbMinHash -- A Class of Locality-Sensitive Hash Algorithms for the (Probability) Jaccard Similarity

Otmar Ertl

The probability Jaccard similarity was recently proposed as a natural generalization of the Jaccard similarity to measure the proximity of sets whose elements are associated with r…

cs.DS2018★ 41 cited

BagMinHash - Minwise Hashing Algorithm for Weighted Sets

Otmar Ertl

Minwise hashing has become a standard tool to calculate signatures which allow direct estimation of Jaccard similarities. While very efficient algorithms already exist for the unwe…

cs.DS2017★ 7 cited

New Cardinality Estimation Methods for HyperLogLog Sketches

Otmar Ertl

This work presents new cardinality estimation methods for data sets recorded by HyperLogLog sketches. A simple derivation of the original estimator was found, that also gives insig…

cs.DS2017★ 12 cited

SuperMinHash - A New Minwise Hashing Algorithm for Jaccard Similarity Estimation

Otmar Ertl

This paper presents a new algorithm for calculating hash signatures of sets which can be directly used for Jaccard similarity estimation. The new approach is an improvement over th…

cs.DS2017★ 17 cited

New cardinality estimation algorithms for HyperLogLog sketches

Otmar Ertl

This paper presents new methods to estimate the cardinalities of data sets recorded by HyperLogLog sketches. A theoretically motivated extension to the original estimator is presen…