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1st International Symposium on Web Algorithms June 2015 Counting sketch: Approximately counting with approximate counters Guillaume Pixel expense Guillaume. Pixel exensa.com George Fourier expense
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How to fill out count-min-log sketch approximately counting
How to fill out count-min-log sketch approximately counting:
01
Set up the count-min-log sketch: Create a two-dimensional array with 'd' rows and 'w' columns, where 'd' is the number of hash functions and 'w' is the number of counters per hash function. Initialize all counters to zero.
02
Process the input data: For each item in the dataset, apply 'd' hash functions to obtain 'd' hash values. Use these hash values as indices to increment the corresponding counters in the count-min-log sketch.
03
Perform approximate counting: To estimate the count of a specific item, compute the minimum value among the counters obtained by applying the 'd' hash functions to the item. This minimum value represents the approximate count of the item.
Who needs count-min-log sketch approximately counting:
01
Data analysts: Count-min-log sketch is useful for large-scale data analysis tasks where approximate counting is acceptable. It provides a memory-efficient way to estimate the frequency of items or events in a dataset.
02
Network administrators: Count-min-log sketch can be applied to network traffic monitoring and analysis. It helps in identifying the most frequent network flows or detecting anomalies based on approximate counts.
03
Web developers: Count-min-log sketch can be employed in web analytics to estimate the popularity of web pages, track user behavior, or perform real-time monitoring of traffic. It enables efficient storage and processing of large amounts of data without the need for exact counts.
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What is count-min-log sketch approximately counting?
Count-min-log sketch approximately counting is a method used to estimate the frequency of elements in a data stream.
Who is required to file count-min-log sketch approximately counting?
Anyone who needs to estimate the frequency of elements in a data stream can use count-min-log sketch approximately counting.
How to fill out count-min-log sketch approximately counting?
To fill out count-min-log sketch approximately counting, you need to set the parameters for the sketch and feed it the data stream to estimate the frequencies.
What is the purpose of count-min-log sketch approximately counting?
The purpose of count-min-log sketch approximately counting is to provide a memory-efficient way to estimate the frequency of elements in a data stream.
What information must be reported on count-min-log sketch approximately counting?
The information reported on count-min-log sketch approximately counting includes the estimated frequencies of elements in the data stream.
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