[ 源代码： libstatistics-topk-perl ]
软件包：libstatistics-topk-perl（0.02-2）
libstatistics-topk-perl 的相关链接
Debian 的资源：
下载源码包 libstatistics-topk-perl：
- [libstatistics-topk-perl_0.02-2.dsc]
- [libstatistics-topk-perl_0.02.orig.tar.gz]
- [libstatistics-topk-perl_0.02-2.debian.tar.xz]
维护小组：
外部的资源：
- 主页 [metacpan.org]
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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.