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  2. STRING - Wikipedia

    en.wikipedia.org/wiki/STRING

    A web interface is available to access the data and to give a fast overview of the proteins and their interactions. A plug-in for cytoscape to use STRING data is available. Another possibility to access data STRING is to use the application programming interface (API) by constructing a URL that contain the request.

  3. Text mining - Wikipedia

    en.wikipedia.org/wiki/Text_mining

    Text mining, text data mining (TDM) or text analytics is the process of deriving high-quality information from text.It involves "the discovery by computer of new, previously unknown information, by automatically extracting information from different written resources."

  4. String metric - Wikipedia

    en.wikipedia.org/wiki/String_metric

    String metrics are used heavily in information integration and are currently used in areas including fraud detection, fingerprint analysis, plagiarism detection, ontology merging, DNA analysis, RNA analysis, image analysis, evidence-based machine learning, database data deduplication, data mining, incremental search, data integration, malware ...

  5. Sequential pattern mining - Wikipedia

    en.wikipedia.org/wiki/Sequential_Pattern_Mining

    Sequential pattern mining is a topic of data mining concerned with finding statistically relevant patterns between data examples where the values are delivered in a sequence. [ 1 ] [ 2 ] It is usually presumed that the values are discrete, and thus time series mining is closely related, but usually considered a different activity.

  6. String (computer science) - Wikipedia

    en.wikipedia.org/wiki/String_(computer_science)

    The term byte string usually indicates a general-purpose string of bytes, rather than strings of only (readable) characters, strings of bits, or such. Byte strings often imply that bytes can take any value and any data can be stored as-is, meaning that there should be no value interpreted as a termination value.

  7. Data profiling - Wikipedia

    en.wikipedia.org/wiki/Data_profiling

    Data profiling utilizes methods of descriptive statistics such as minimum, maximum, mean, mode, percentile, standard deviation, frequency, variation, aggregates such as count and sum, and additional metadata information obtained during data profiling such as data type, length, discrete values, uniqueness, occurrence of null values, typical string patterns, and abstract type recognition.

  8. Policy group urges reforms as Madigan's corruption trial goes ...

    www.aol.com/news/policy-group-urges-reforms...

    (The Center Square) – An analysis of data from the U.S. Department of Justice found on average more than one Illinois public servant was convicted every week between 1983 and 2023. As longtime ...

  9. MultiDimensional eXpressions - Wikipedia

    en.wikipedia.org/wiki/MultiDimensional_eXpressions

    There are six primary data types in MDX Scalar. Scalar is either a number or a string. It can be specified as a literal, e.g. number 5 or string "OLAP" or it can be returned by an MDX function, e.g. Aggregate (number), UniqueName (string), .Value (number or string) etc. Dimension/Hierarchy. Dimension is a dimension of a cube. A dimension is a ...