SMOTE - SMOTE stands for Synthetic Minority Over-sampling Technique.
Social data science - Social data science combines computational and statistical methods with social-science theory and research design to study people, relationships...
Social media mining - Social media mining is the use of computational and analytical methods to discover patterns in social-media content, activity and relationships.
Social profiling - Social profiling is the construction of a representation of a person or account from social data, including stated information, online activity and...
Social sorting - Social sorting is the classification of people or populations into categories that influence how they are treated, what opportunities they receive or what...
Software mining - Software mining is the extraction and analysis of information from software and its development or operational records to understand systems, discover...
Spatiotemporal data - Spatiotemporal data describe phenomena with both a spatial component and a temporal component: where something occurs or is measured, and when.
Spreadmart - A spreadmart is a locally maintained reporting or analysis system, commonly built with spreadsheets or desktop databases, that performs functions associated...
Stance detection - Stance detection is the task of identifying the position expressed or implied by text towards a specified target, such as a proposal, product or claim.
Statistical thinking - Statistical thinking is an approach to learning from data that considers the question, how observations are produced, variation and uncertainty, and what...
Structure mining - Structure mining is the discovery of useful patterns in data whose relationships, order or arrangement carry information.
Structured data - Structured data is data organized according to a defined model, with identifiable fields, types and relationships.
Subdivision bifiltration - A subdivision bifiltration is a two-parameter construction in topological data analysis formed by applying a subdivision-based filtration to each complex in...
Sunburst chart - A sunburst chart displays hierarchical data as sectors arranged in concentric rings.
Symbolic data analysis - Symbolic data analysis is a statistical approach for observations described by richer values such as sets, intervals or distributions, rather than only...
Synthetic data - Synthetic data is data created artificially through rules, simulations or generative models, rather than collected as direct observations of the events or...
Technology mining - Technology mining, often called tech mining, combines analysis of scientific and technical text with bibliometric and related methods to investigate...
Topological data analysis - Topological data analysis, or TDA, uses mathematical ideas about shape and connectivity to study data.
Total operating characteristic - The total operating characteristic, or TOC, is a curve for evaluating how a ranked score distinguishes a binary reference outcome across thresholds.
Total Variation Distance (Tvd) - Total variation distance, usually abbreviated TVD or TV, measures how different two probability distributions are.
True negative - A true negative is an outcome in which a classifier predicts the negative class and the reference label is also negative.
True positive - A true positive is an outcome in which a classifier predicts the positive class and the reference label confirms that class.
Twyman's law - Twyman's law is a practical warning that an unusually interesting result deserves especially careful checking because an error may explain it.
Type-Casting - Type-casting is the conversion of a value from one data type to another according to a programming language or database system's rules.
Undercoverage Bias - Undercoverage bias is systematic distortion in an estimate caused by failing to cover part of the intended population, when the omitted part differs in ways...
Unicity (data analysis) - Unicity measures how often a limited set of observations singles out one individual's record or trace within a dataset.
Union Of Events - The union of events is the event that at least one of them occurs. For two events A and B, it is written A ∪ B and includes outcomes belonging to A, B or both.
Univariate analysis - Univariate analysis examines one variable at a time to understand its values, distribution and other relevant properties.
Unstructured data - Unstructured data is information whose substantive content is not organized into a predefined set of fields suitable for straightforward tabular analysis.
Vector field histograms - Vector field histograms are directional representations used in a mobile-robot obstacle-avoidance method known as VFH.
Vietoris - Rips filtration - A Vietoris - Rips filtration is a nested sequence of simplicial complexes built from distances between data points as a scale parameter increases.
Violin plot - A violin plot displays the distribution of a numerical variable using a smoothed density shape, usually mirrored around a central line.
Web scraping - Web scraping is the automated extraction of selected information from web pages into a form that can be stored or analyzed.
Weighted correlation network analysis - Weighted correlation network analysis is a method for exploring patterns of association among many measured variables by representing them as a network with...
Wiener connector - A Wiener connector is a connected subgraph containing a specified set of query vertices, considered under an objective based on its Wiener index.
Z-test - A Z-test is a statistical hypothesis test that compares a standardized statistic with the standard normal distribution.