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  2. Approximate string matching - Wikipedia

    en.wikipedia.org/wiki/Approximate_string_matching

    A fuzzy Mediawiki search for "angry emoticon" has as a suggested result "andré emotions" In computer science, approximate string matching (often colloquially referred to as fuzzy string searching) is the technique of finding strings that match a pattern approximately (rather than exactly).

  3. Obsidian (software) - Wikipedia

    en.wikipedia.org/wiki/Obsidian_(software)

    Obsidian is a personal knowledge base and note-taking application that operates on Markdown files. [3] [4] [5] It allows users to make internal links for notes and then to visualize the connections as a graph. [6] [7] It is designed to help users organize and structure their thoughts and knowledge in a flexible, non-linear way. [8]

  4. Pattern matching - Wikipedia

    en.wikipedia.org/wiki/Pattern_matching

    Tree patterns are used in some programming languages as a general tool to process data based on its structure, e.g. C#, [1] F#, [2] Haskell, [3] Java [4], ML, Python, [5] Ruby, [6] Rust, [7] Scala, [8] Swift [9] and the symbolic mathematics language Mathematica have special syntax for expressing tree patterns and a language construct for ...

  5. List of numerical libraries - Wikipedia

    en.wikipedia.org/wiki/List_of_numerical_libraries

    Matrix Toolkit Java is a linear algebra library based on BLAS and LAPACK. ojAlgo is an open source Java library for mathematics, linear algebra and optimisation. exp4j is a small Java library for evaluation of mathematical expressions. SuanShu is an open-source Java math library. It supports numerical analysis, statistics and optimization.

  6. Fuzzy retrieval - Wikipedia

    en.wikipedia.org/wiki/Fuzzy_retrieval

    Fuzzy retrieval techniques are based on the Extended Boolean model and the Fuzzy set theory. There are two classical fuzzy retrieval models: Mixed Min and Max (MMM) and the Paice model. Both models do not provide a way of evaluating query weights, however this is considered by the P-norms algorithm.

  7. Fuzzing - Wikipedia

    en.wikipedia.org/wiki/Fuzzing

    In programming and software development, fuzzing or fuzz testing is an automated software testing technique that involves providing invalid, unexpected, or random data as inputs to a computer program.

  8. Locality-sensitive hashing - Wikipedia

    en.wikipedia.org/wiki/Locality-sensitive_hashing

    In computer science, locality-sensitive hashing (LSH) is a fuzzy hashing technique that hashes similar input items into the same "buckets" with high probability. [1] ( The number of buckets is much smaller than the universe of possible input items.) [1] Since similar items end up in the same buckets, this technique can be used for data clustering and nearest neighbor search.

  9. DocFetcher - Wikipedia

    en.wikipedia.org/wiki/DocFetcher

    A query language supporting boolean operators (OR, AND, NOT), wildcards, phrase search, fuzzy search and proximity search; World languages: translations in Chinese, Italian, Ukrainian. Partly translated to French, Japanese, Spanish, and German. [3] Note that a commercial version of the program DocFetcher Pro is in development [4] with ...