How to Install and Uninstall libstatistics-topk-perl Package on Kali Linux
Last updated: November 07,2024
1. Install "libstatistics-topk-perl" package
Please follow the instructions below to install libstatistics-topk-perl on Kali Linux
$
sudo apt update
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$
sudo apt install
libstatistics-topk-perl
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2. Uninstall "libstatistics-topk-perl" package
Learn how to uninstall libstatistics-topk-perl on Kali Linux:
$
sudo apt remove
libstatistics-topk-perl
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the libstatistics-topk-perl package on Kali Linux
Package: libstatistics-topk-perl
Version: 0.02-2
Installed-Size: 22
Maintainer: Debian Perl Group
Architecture: all
Depends: perl:any
Size: 6976
SHA256: 718e228f4c3384cdce50f30e0aa09f4a80dd2facdb1dfd36c5fae3a4daeae639
SHA1: 668918066e4b13badf2dd1e5387a7f62085b5d9d
MD5sum: 97c2022859cf960b529beaaaa3cb4115
Description: implementation of the top-k streaming algorithm
The Statistics::TopK module implements the top-k streaming algorithm, also
know as the "heavy hitters" algorithm. It is designed to process data streams
and probabilistally calculate the k most frequent items while using limited
memory.
.
A typical example would be to determine the top 10 IP addresses listed in an
access log. A simple solution would be to hash each IP address to a counter
and then sort the resulting hash by the counter size. But the hash could
theoretically require over 4 billion keys.
.
The top-k algorithm only requires storage space proportional to the number of
items of interest. It accomplishes this by sacrificing precision, as it is
only a probabilistic counter.
Description-md5:
Homepage: https://metacpan.org/release/Statistics-TopK
Section: perl
Priority: optional
Filename: pool/main/libs/libstatistics-topk-perl/libstatistics-topk-perl_0.02-2_all.deb
Version: 0.02-2
Installed-Size: 22
Maintainer: Debian Perl Group
Architecture: all
Depends: perl:any
Size: 6976
SHA256: 718e228f4c3384cdce50f30e0aa09f4a80dd2facdb1dfd36c5fae3a4daeae639
SHA1: 668918066e4b13badf2dd1e5387a7f62085b5d9d
MD5sum: 97c2022859cf960b529beaaaa3cb4115
Description: implementation of the top-k streaming algorithm
The Statistics::TopK module implements the top-k streaming algorithm, also
know as the "heavy hitters" algorithm. It is designed to process data streams
and probabilistally calculate the k most frequent items while using limited
memory.
.
A typical example would be to determine the top 10 IP addresses listed in an
access log. A simple solution would be to hash each IP address to a counter
and then sort the resulting hash by the counter size. But the hash could
theoretically require over 4 billion keys.
.
The top-k algorithm only requires storage space proportional to the number of
items of interest. It accomplishes this by sacrificing precision, as it is
only a probabilistic counter.
Description-md5:
Homepage: https://metacpan.org/release/Statistics-TopK
Section: perl
Priority: optional
Filename: pool/main/libs/libstatistics-topk-perl/libstatistics-topk-perl_0.02-2_all.deb