Title : Count - Min Sketch
نویسنده
چکیده
منابع مشابه
Count-Min-Log sketch: Approximately counting with approximate counters
Count-Min Sketch [1] is a widely adopted algorithm for approximate event counting in large scale processing. However, the original version of the Count-Min-Sketch (CMS) suffers of some deficiences, especially if one is interested in the low-frequency items, such as in textmining related tasks. Several variants of CMS [5] have been proposed to compensate for the high relative error for low-frequ...
متن کاملCount-Min Sketches for Estimating Password Frequency within Hamming Distance Two
The count-min sketch is a useful data structure for recording and estimating the frequency of string occurrences, such as passwords, in sub-linear space with high accuracy. However, it cannot be used to draw conclusions on groups of strings that are similar, for example close in Hamming distance. This paper introduces a variant of the count-min sketch which allows for estimating counts within a...
متن کاملAn Improved Data Stream Summary: The Count-Min Sketch and Its Applications
We introduce a new sublinear space data structure—the count-min sketch—for summarizing data streams. Our sketch allows fundamental queries in data stream summarization such as point, range, and inner product queries to be approximately answered very quickly; in addition, it can be applied to solve several important problems in data streams such as finding quantiles, frequent items, etc. The tim...
متن کاملAlgorithmic Techniques for Big Data
Handling an Update: When an update (it, ct) arrives, then ct is added to one entry in each row of the array count. Specifically, ∀1 ≤ j ≤ d, count [j, hj(it)]← count [j, hj(it)] + ct. Lemma 1. The space used by Count-Min Sketch is O(wd) ≡ O( ln 1 δ ) words. Specifically, it uses an array which takes wd words and d hash functions, each of which can be stored using 2 words. An update can be handl...
متن کاملLossy Conservative Update (LCU) Sketch: Succinct Approximate Count Storage
In this paper, we propose a variant of the conservativeupdate Count-Min sketch to further reduce the overestimation error incurred. Inspired by ideas from lossy counting, we divide a stream of items into multiple windows, and decrement certain counts in the sketch at window boundaries. We refer to this approach as a lossy conservative update (LCU). The reduction in overestimation error of count...
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