Problem We are recieving strings and they may either represent a company name or a person\'s name. We need a heuristic to determine this.
Finding some text and replacing it with new text within a C string can be a little trickier than expected.
Does the KMP (Knuth–Morris–Pratt) algorith开发者_如何学Pythonm perform fewer comparisons than the simplified Boyer-Moore algorithm?The Boyers Moore algorithm should usually perform with less compari
I am doing string matching with big amount of data. EDIT: I am matching words contained in a big list with some ontology text files. I take each file from ontology, and search for a match between th
I am working on a (WPF + C#) application. I have to implement search function开发者_运维知识库ality. It will allow to search all the occurrences of a particular string on the specific part of Window.
I\'m building a process which extracts data from 6 csv-style files and two poorly laid out .txt reports and builds output CSVs, and I\'m fully aware that there\'s going to be some overhead searching t
I am curious what is the most efficient algorithm (or commonly used) to count the number of occurrences of a string in a chunk of text.
For the two string searching algorithms: KMP and suffix tree, which is preferred in which cases? Give some 开发者_如何学Gopractical examples.A suffix tree is better if you will have to answer a lot of
I\'ve got a bunch of binary files, each containing an embedded string near the end of the file but at different places (only occurs once in each file).I need to extract the part of the file starting a
There is Python code available for normal string searching algorithms, such as Boyer-Moore. I am looking to use this on Chinese characters, but it doesn\'t seem like the same implementation would work
加载中,请稍侯......