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Count–min sketch
Known as:
CM sketch
, Count Min sketch
, Count-min sketch
In computing, the count–min sketch (CM sketch) is a probabilistic data structure that serves as a frequency table of events in a stream of data. It…
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Related topics
Related topics
10 relations
Bloom filter
Count-distinct problem
Data structure
Feature hashing
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Buffered Count-Min Sketch on SSD: Theory and Experiments
Mayank Goswami
,
Dzejla Medjedovic
,
Emina Mekic
,
P. Pandey
Embedded Systems and Applications
2018
Corpus ID: 13744712
Frequency estimation data structures such as the count-min sketch (CMS) have found numerous applications in databases, networking…
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2017
2017
Buffered Count-Min Sketch
E. Eydi
,
Dzejla Medjedovic
,
Emina Mekic
,
Elmedin Selmanovic
2017
Corpus ID: 125352030
In this paper, we present the preliminary work on the adaptation of Count-Min sketch (CMS) data structure to the external storage…
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2016
2016
Count-Min Tree Sketch: Approximate counting for NLP
Guillaume Pitel
,
G. Fouquier
,
Emmanuel Marchand
,
Abdul Mouhamadsultane
arXiv.org
2016
Corpus ID: 9810073
The Count-Min Sketch is a widely adopted structure for approximate event counting in large scale processing. In a previous work…
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2014
2014
Analysis of the Count-Min Sketch Based Anomaly Detection Scheme in WSN
Guorui Li
,
Y. Liu
,
Y. Wang
IEEE 13th International Conference on Trust…
2014
Corpus ID: 15259007
The constrained capacity of wireless sensor nodes and harsh, unattended deploy environments make the data collected by sensor…
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2014
2014
An efficient sketch-based framework to identify multiple heavy-hitters and its application in DoS detection
S. Dashti
,
M. Berenjkoub
,
Ashraf Tahmasbi
22nd Iranian Conference on Electrical Engineering…
2014
Corpus ID: 23297820
Nowadays, with the increasing speed of communication links and generated traffic volume, Network Intrusion Detection Systems…
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2012
2012
Apprentissage incrémental en ligne sur flux de données. (Incremental online learning on data streams)
Christophe Salperwyck
2012
Corpus ID: 10682384
L'apprentissage statistique propose un vaste ensemble de techniques capables de construire des modeles predictifs a partir d…
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2011
2011
b-Bit Minwise Hashing for Large-Scale Learning
Ping Li
,
Anshumali Shrivastava
,
Joshua L. Moore
,
A. König
2011
Corpus ID: 16063947
Abstract Minwise hashing is a standard technique in the context of search for efficiently computing set similarities. The recent…
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2010
2010
Sketch Techniques for Scaling Distributional Similarity to the Web
Amit Goyal
,
Jagadeesh Jagarlamudi
,
Daumé
,
H. Iii
,
Suresh Venkatasubramanian
2010
Corpus ID: 475811
In this paper, we propose a memory, space, and time efficient framework to scale distributional similarity to the web. We exploit…
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2009
2009
CM Sketch
Encyclopedia of Database Systems
2009
Corpus ID: 7867041
2005
2005
New estimation methods of Count-Min sketch
Hongsong Li
,
Houkuan Huang
International Workshop on Research Issues in Data…
2005
Corpus ID: 15796220
Count-Min sketch is an efficient approximate query tool for data stream. In this paper we address how to further improve its…
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