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  2. List of statistical software - Wikipedia

    en.wikipedia.org/wiki/List_of_statistical_software

    scikit-learn – extends SciPy with a host of machine learning models (classification, clustering, regression, etc.) Shogun (toolbox) – open-source, large-scale machine learning toolbox that provides several SVM (Support Vector Machine) implementations (like libSVM, SVMlight) under a common framework and interfaces to Octave, MATLAB, Python, R

  3. Statistical classification - Wikipedia

    en.wikipedia.org/wiki/Statistical_classification

    Early work on statistical classification was undertaken by Fisher, [1] [2] in the context of two-group problems, leading to Fisher's linear discriminant function as the rule for assigning a group to a new observation. [3] This early work assumed that data-values within each of the two groups had a multivariate normal distribution.

  4. Soft independent modelling of class analogies - Wikipedia

    en.wikipedia.org/wiki/Soft_independent_modelling...

    In order to build the classification models, the samples belonging to each class need to be analysed using principal component analysis (PCA); only the significant components are retained. For a given class, the resulting model then describes either a line (for one Principal Component or PC), plane (for two PCs) or hyper-plane (for more than ...

  5. Data classification (data management) - Wikipedia

    en.wikipedia.org/wiki/Data_classification_(data...

    Data classification can be viewed as a multitude of labels that are used to define the type of data, especially on confidentiality and integrity issues. [1] Data classification is typically a manual process; however, there are tools that can help gather information about the data. [2] Data sensitivity levels are often proposed to be considered. [2]

  6. Data modeling - Wikipedia

    en.wikipedia.org/wiki/Data_modeling

    Data models represent information areas of interest. While there are many ways to create data models, according to Len Silverston (1997) [7] only two modeling methodologies stand out, top-down and bottom-up: Bottom-up models or View Integration models are often the result of a reengineering effort. They usually start with existing data ...

  7. Data and information visualization - Wikipedia

    en.wikipedia.org/wiki/Data_and_information...

    Data presentation architecture weds the science of numbers, data and statistics in discovering valuable information from data and making it usable, relevant and actionable with the arts of data visualization, communications, organizational psychology and change management in order to provide business intelligence solutions with the data scope ...

  8. List of Dewey Decimal classes - Wikipedia

    en.wikipedia.org/wiki/List_of_Dewey_Decimal_classes

    000 Computer science, information and general works; 001 Knowledge; 002 The book (writing, libraries, and book-related topics) 003 Systems; 004 Data processing and computer science; 005 Computer programming, programs, and data; 006 Special computer methods (e.g. AI, multimedia, VR) [4] 007–009 [Unassigned] 010 Bibliographies. 010 Bibliography ...

  9. Associative classifier - Wikipedia

    en.wikipedia.org/wiki/Associative_classifier

    An associative classifier (AC) is a kind of supervised learning model that uses association rules to assign a target value. The term associative classification was coined by Bing Liu et al., [1] in which the authors defined a model made of rules "whose right-hand side are restricted to the classification class attribute".