Adamic - Adar index - The Adamic - Adar index is a graph similarity score that adds up contributions from the neighbors shared by two nodes, giving more weight to shared...
Affinity analysis - Affinity analysis examines which items, actions or attributes tend to occur together in a dataset.
Agent mining - Agent mining is a research area that combines autonomous agents and multi-agent systems with data mining.
Archetypal analysis - Archetypal analysis is an unsupervised method that represents observations as mixtures of a small number of characteristic profiles called archetypes.
Argument mining - Argument mining is the automatic identification of claims, reasons and argumentative relationships in natural-language material.
Array - An array is an indexed collection of elements arranged along one or more dimensions.
Artificial intelligence content detection - Artificial intelligence content detection is the use of technical methods to assess whether text, images, audio or video was generated or significantly...
Automatic clustering algorithms - Automatic clustering algorithms are methods that form groups in unlabeled data while determining the number of groups through a procedure rather than...
BADIR - BADIR is Aryng's proprietary analytics framework for moving from a business question to a recommendation.
Bar chart - A bar chart displays values using rectangular bars whose lengths represent magnitude on a shared numerical scale.
Base effect - A base effect is the influence of the comparison period's value on a reported rate of change.
Bernoulli trial - A Bernoulli trial is a random experiment whose recorded outcome has two possibilities, conventionally called success and failure.
Binary variable - A binary variable has two possible substantive values, often represented as 0 and 1 or as two category labels.
Boolean - Boolean refers to a logical value or expression with the two truth values true and false.
Box plot - A box plot summarizes the distribution of numerical data using a median, quartiles and whiskers.
Categorical variable - A categorical variable records which category an observation belongs to, rather than a measured quantity.
Causal analysis - Causal analysis investigates whether and how changing one factor would change an outcome.
Cherry-Picking - Cherry-picking is the selective use or presentation of evidence that favors a desired conclusion while leaving out relevant evidence that would weaken...
Cluster Sampling - Cluster sampling is a probability-sampling approach that selects groups of population units, such as branches, schools, or geographic areas.
Co-occurrence network - A co-occurrence network represents items as nodes and connects items that appear together within a defined context.
Collocation (remote sensing) - Collocation in remote sensing is the matching of observations from different sources so that they can be compared as measurements of sufficiently...
Combinatorial data analysis - Combinatorial data analysis studies data through discrete arrangements of objects, such as groupings, orderings, or hierarchies.
Complement Of An Event - The complement of an event is the set of all outcomes in the specified sample space for which that event does not occur.
Compound Events - Compound events are events formed from combinations of simpler events, often using and, or, and not.
Continuous Uniform Distribution - A continuous uniform distribution is a probability model with constant density across a finite interval and zero density outside it.
Continuous variable - A continuous variable is a numerical variable modeled as capable of taking any value within an interval, rather than only separate countable values.
Contrast set learning - Contrast set learning searches for combinations of attribute values whose prevalence differs meaningfully across predefined groups.
Cosine similarity - Cosine similarity measures the alignment of two nonzero numerical vectors by taking the cosine of the angle between them.
Cross-industry standard process for data mining - The Cross-Industry Standard Process for Data Mining, usually abbreviated CRISP-DM, is a process model for organizing data-mining projects.
Dark data - Dark data is information an organization has collected or retained but does not meaningfully use for analytics or decision-making.
Data cleaning - Data cleaning is the process of identifying and addressing errors, inconsistencies, and other quality problems in data so that the data are more suitable...
Data farming - Data farming is the purposeful generation of data from simulation models through designed experiments.
Data mining - Data mining is the use of computational and statistical methods to discover patterns or build useful models from data.
Data physicalization - Data physicalization represents data through the geometry or material properties of physical artifacts.
Data stream mining - Data stream mining discovers patterns or updates analytical models from data arriving over time, often under limits on memory and processing time.
Data structure - A data structure is a way of organizing and representing data so that particular operations can be performed on it.
Data Transformation - Data transformation is the conversion of data from one representation, structure, or set of values into another according to defined rules.
Data visualization - Data visualization represents data through graphical elements such as position, length, color, shape, or size.
Data wrangling - Data wrangling is the work of turning available data into a form suitable for a particular analysis or application.
Decile - A decile is a quantile associated with dividing an ordered distribution into ten parts.
Deep Copy - A deep copy creates a new compound object and recursively copies its contained objects according to the language or library's copying rules.
Deep learning - Deep learning is a branch of machine learning that learns representations through multiple layers of computation.
Degree-Rips bifiltration - A degree-Rips bifiltration is a two-parameter construction in topological data analysis that examines a point cloud using both distance scale and local...
Dependent variable - A dependent variable is the outcome or response a statistical analysis seeks to explain, compare, or predict.
Descriptive analytics - Descriptive analytics summarizes recorded data to show what has happened or what is currently observed.
Deterministic Sampling - Deterministic sampling selects records or evaluation points using a specified rule that produces the same selection when its inputs and settings are unchanged.
Diagnostic analytics - Diagnostic analytics investigates observed outcomes to identify plausible explanations, contributing factors, and problems requiring further examination.
Dimensionality reduction - Dimensionality reduction represents data using fewer features or coordinates than the original representation.