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Class of computational model
Data-driven models are a class of computational models that primarily rely on historical data collected throughout a system's or process' lifetime to
Data-driven_model
Creating a model of the data in a system
applied as part of broader model-driven engineering (MDE) concept. Data modeling is a process used to define and analyze data requirements needed to support
Data_modeling
Software development process
Domain-driven design (DDD) is a software design approach that focuses on modeling software to match a domain according to input from that domain's experts
Domain-driven_design
Software development methodology
Model-driven engineering (MDE) is a software development methodology that focuses on creating and exploiting domain models, which are conceptual models
Model-driven_engineering
Unit of information
journalism Data-driven testing Data-driven learning Data-driven science Data-driven control system Data-driven marketing Digital privacy Environmental data rescue
Data
Field of study to extract knowledge from data
now data-driven) and asserted that "everything about science is changing because of the impact of information technology" and the data deluge. Data science
Data_science
Software design approach
specifications, which are expressed as models. Model Driven Architecture is a kind of domain engineering, and supports model-driven engineering of software systems
Model-driven_architecture
Programming paradigm
In computer programming, data-driven programming is a programming paradigm in which the program statements describe the data to be matched and the processing
Data-driven_programming
Type of programming language
powerful sparse index and data handling variables, constraints with arbitrary names. The algebraic formulation of a model does not contain any hints
Algebraic_modeling_language
Family of control systems
Data-driven control systems are a broad family of control systems, in which the identification of the process model and/or the design of the controller
Data-driven_control_system
Visual representation of data
data, explore the structures and features of data, and assess outputs of data-driven models. Data and information visualization can be part of data storytelling
Data and information visualization
Data_and_information_visualization
Database modeling method
Datavault or data vault modeling is a database modeling method that is designed to provide long-term historical storage of data coming in from multiple
Data_vault_modeling
Predicting and managing water resources
used to model rainfall event length in days in 1976, and continues to be used for flood risk assessment and dam management. Data-driven models in hydrology
Hydrological_model
Software testing technique
Data-driven testing (DDT), also known as table-driven testing or parameterized testing, is a software testing technique that uses a table of data that
Data-driven_testing
Theoretical framework
viewing and organizing the data to represent different system aspects. The event-driven process chain (EPC) is a conceptual modeling technique which is mainly
Conceptual_model
Chinese AI research laboratory
integrative data-driven model of Caenorhabditis elegans, which consists of two submodels: the brain model and the body–environment model. Emu3 a suite
Beijing Academy of Artificial Intelligence
Beijing_Academy_of_Artificial_Intelligence
Technique in mathematical modeling
hyper-reduction. PyDMD: PyDMD is a Python package that implements data-driven model order reduction based on Dynamic Mode Decomposition (DMD), an algorithm
Model_order_reduction
American businessman and politician
Energy Pioneer Solutions, a company that created and then sold a new data-driven model for energy efficiency issues that focused on utilities and homeowners
Scott_Kleeb
Topics referred to by the same term
Model-driven (or model driven) is used mainly in software design and may refer to: Model-driven application, software application whose data structures
Model-driven
Mathematical model of a complex system
Artificial neural network Computational linguistics Data-driven model Decision field theory Dynamical systems model of cognition Membrane computing Ontology (information
Computational_model
Type of telecommunications engineering
and management of networked systems can be improved by data-driven paradigm. Data-driven models can also be used at various phases of service and network
Network_planning_and_design
Journalistic process
Data journalism or data-driven journalism (DDJ) is journalism based on the filtering and analysis of large data sets for the purpose of creating or elevating
Data_journalism
Javascript library for data visualization
js (also known as D3, short for Data-Driven Documents) is a JavaScript library for producing dynamic, interactive data visualizations in web browsers.
D3.js
Set of software design patterns in a database
that action can be taken using the changed data. The result is a delta-driven dataset. CDC is an approach to data integration that is based on the identification
Change_data_capture
Heuristic used in computer science
the number of parameters in other data-driven models, such as the number of principal components to describe a data set. The method can be traced to speculation
Elbow_method_(clustering)
executable Unified Modeling Language (UML). Noggle, Brian J; M Lang (1 April 2002). "Model Driven Information Architecture". The Data Administration Newsletter
Model-driven_integration
Prediction of flooding in a specific area
{\displaystyle f} is the flood forecasting model, which can be a physically-based model, a data-driven model or a hybrid model depending on the approach chosen
Flood_forecasting
American mechanical engineer
non-linear dynamics (SINDy) algorithm and for his contributions to data-driven modeling in engineering and the physical sciences, specifically in fluid dynamics
Steven_L._Brunton
Data modeling software
other non-technical teams interact with data models, more focus on Conceptual level modeling, AI driven data modeling, AI SQL Analyzer and more. Beginning
Erwin_Data_Modeler
Dynamic Data Driven Applications Systems (DDDAS) is a paradigm whereby the computation and instrumentation aspects of an application system are dynamically
Dynamic Data Driven Applications Systems
Dynamic_Data_Driven_Applications_Systems
Study of uncertainty in the output of a mathematical model or system
(meta-model, data-driven model) including HDMR to approximate the f {\displaystyle f} -function is one way of reducing the computation costs. The model has
Sensitivity_analysis
Form of modelling that uses statistics to predict outcomes
other historical data, to discover repeatable patterns. Predictive modelling gives lead generators a head start by forecasting data-driven outcomes for each
Predictive_modelling
Type of machine learning model
influential since 2023. Per Vake et al. (2025), community-driven contributions to open-weight models improve their efficiency and performance via collaborative
Large_language_model
Model in software engineering
Information model Feature-driven development Logical data model Mental model OntoUML Fowler, Martin. . "P of EAA - Domain Model" Evans, Eric Domain-Driven Design:
Domain_model
respective workflow models; it was also chosen to make associations with content management. Both terms "artifact-centric" and "data-driven" would also be
Content-oriented workflow models
Content-oriented_workflow_models
Graphical representation of the "flow" of data through an information system
data modeling and threat modeling. When using UML, the activity diagram typically takes over the role of the data-flow diagram. A special form of data-flow
Data-flow_diagram
Australian university research assessment process classified by Field of Research (FOR)
transitioning the ERA process to a more robust and data driven model. In addition to the Higher Education Research Data Collection, which collects statistics about
Excellence in Research for Australia
Excellence_in_Research_for_Australia
Peak divided by the Root mean square (RMS) of the waveform
exploring data-driven models for PAPR reduction as part of ongoing research in end-to-end communication networks. These data-driven models offer innovative
Crest_factor
Design technique in object-oriented programming
Responsibility-driven design is a design technique in object-oriented programming, which improves encapsulation by using the client–server model. It focuses
Responsibility-driven_design
Tasks in machine learning
predictions on data. Such algorithms function by making data-driven predictions or decisions, through building a mathematical model from input data. These input
Training, validation, and test data sets
Training,_validation,_and_test_data_sets
model-driven application is a software application that the functions or behaviors are based on, or in control of, some evolutionary applied models of
Model-driven_application
Data-driven instruction is an educational approach that relies on information to inform teaching and learning. The idea refers to a method teachers use
Data-driven_instruction
Software architecture model
Event-driven architecture (EDA) is a software architecture paradigm concerning the production and detection of events. Event-driven architectures are
Event-driven_architecture
Machine learning model
videos have largely been driven by the development of video diffusion models. There are different models, including open source models. Chinese-language input
Text-to-video_model
Application of model-based design
model-based testing is usually seen as one form of black-box testing. Especially in model-driven engineering and model-driven architecture, models are
Model-based_testing
Model-driven security (MDS) means applying model-driven approaches (and especially the concepts behind model-driven software development) to security
Model-driven_security
Method of writing code
test-driven work. For testing to be successful, it needs to be practiced at the micro and macro levels. Every method in a class, every input data value
Test-driven_development
foundations, frameworks, algorithms, models, architectures, and evaluation systems for actionable knowledge discovery. Data-driven pattern mining and knowledge
Domain_driven_data_mining
Digital graphics editor
brush. Two publications, Detail-Preserving Paint Modeling for 3D Brushes and Simple Data-Driven Modeling of Brushes, were released as a result of the team’s
Microsoft_Fresh_Paint
Aspect of computer science
Big data maturity models (BDMM) are the artifacts used to measure big data maturity. These models help organizations to create structure around their
Big_data_maturity_model
Type of solid state switch
state-of-the-art failure assessment models utilise hybrid approaches which combine physics-of-failure and data-driven models. IGBT module (IGBTs and freewheeling
Insulated-gate bipolar transistor
Insulated-gate_bipolar_transistor
Set of conceptual and technical difficulties
is a set of difficulties going between data in relational data stores and data in domain-driven object models. Relational Database Management Systems
Object–relational impedance mismatch
Object–relational_impedance_mismatch
Design of geospatial data storage
A geographic data model, geospatial geographical measurements, or simply data from modules in the context of geographic information systems (GIS), is a
Data_model_(GIS)
Type of artificial neural network
physics-based and data-driven models, to numerically solve differential equations. In this context, the ability of neural fields to model input and solution
Neural_field
Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions
Data_analysis
single unit will cause a failure of the system. Data-driven models for reliability prediction utilise data acquired from tests to failure on electronic components
Reliability prediction for electronic components
Reliability_prediction_for_electronic_components
Interdisciplinary field of study
field is closely related to astrostatistics. Data-driven astronomy (DDA) refers to the use of data science in astronomy. Several outputs of telescopic
Astroinformatics
American mathematician
Kath. He is the author of the book Data-Driven Modeling & Scientific Computation: Methods for Complex Systems & Big Data (Oxford Univ. Press, 2013). He also
J._Nathan_Kutz
Engineering model
being computationally cheaper to evaluate. Surrogate models are constructed using a data-driven, bottom-up approach. The exact, inner working of the simulation
Surrogate_model
Organized collection of data in computing
post-relational. The two main early navigational data models were the hierarchical model and the CODASYL model (network model). These were characterized by the use
Database
Cloud computing term regarding readily-available data for consumers
APIs have rendered the platform on which the data resides as irrelevant. Data as a service as a business model is a concept when two or more organizations
Data_as_a_service
AI that generates content
that uses generative models to generate text, images, videos, audio, software code (vibe coding) or other forms of data. These models learn the underlying
Generative_AI
High-energy particle, mainly originating outside the Solar System
from the original on 4 March 2016. Dembinski, H.; et al. (2018). "Data-driven model of the cosmic-ray flux and mass composition from 10 GeV to 10^11 GeV"
Cosmic_ray
Umbrella term for certain approaches to software development
Collier, Ken W. (2011). Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing. Pearson Education. ISBN 9780321669544
Agile_software_development
Pattern of motion in a visual scene due to relative motion of the observer
machine learning based models (sometimes called data-driven models), classical models (sometimes called knowledge-driven models) which do not use machine
Optical_flow
Centralized storage of knowledge
current data. The schema used to store transactional databases is the entity model (usually 3NF).[citation needed] Normalization is the norm for data modeling
Data_warehouse
Software development process
Feature-Driven Development[2] (published in 2002), a more general description of FDD was given decoupled from Java modelling. FDD is a model-driven short-iteration
Feature-driven_development
application and data. The main idea is to follow a model driven engineering (MDE) approach. Therefore, it is promoted a systematic use of models as primary
Model-driven_interoperability
Type of data model
entity–attribute–value model (EAV) is a data model optimized for the space-efficient storage of sparse—or ad-hoc—property or data values, intended for situations
Entity–attribute–value_model
Process of linking data objects in distinct models
In computing and data management, data mapping is the process of creating data element mappings between two distinct data models. Data mapping is used
Data_mapping
Form of advertising
Targeted advertising or data-driven marketing is a form of advertising, including online advertising, that is directed towards an audience with certain
Targeted_advertising
Specialized data centers designed for artificial intelligence
inference for artificial intelligence (AI) and machine learning models. Unlike general-purpose data centers, they are optimized for the parallel processing demands
AI_data_center
Programming paradigm
"Differentiable biology: using deep learning for biophysics-based and data-driven modeling of molecular mechanisms". Nature Methods. 18 (10): 1169–1180. doi:10
Differentiable_programming
Change of statistical properties over time
analytics, data science, machine learning and related fields, concept drift or drift is an evolution of data that invalidates the data model. It happens
Concept_drift
Software architecture design pattern
(converting) the data objects from the model in such a way they can be easily managed and presented. In this respect, the viewmodel is more model than view,
Model–view–viewmodel
Engineering discipline
building models in prognostics can be categorized broadly into data-driven approaches, model-based approaches, and hybrid approaches. Data-driven prognostics
Prognostics
Disciplines of managing data as a resource
of data. By the 1980s, relational database models revolutionized data management, emphasizing the importance of data as an asset and fostering a data-centric
Data_management
Method of encoding digital data on multiple carrier frequencies
exploring data-driven models for PAPR reduction as part of ongoing research in end-to-end communication networks. These data-driven models offer innovative
Orthogonal frequency-division multiplexing
Orthogonal_frequency-division_multiplexing
Story-driven modeling is an object-oriented modeling technique. Other forms of object-oriented modeling focus on class diagrams. Class diagrams describe
Story-driven_modeling
Sub-field of computer science
Historically, most work in this field has focused on parametric and data-driven models, but recently physical simulation has become more popular as computers
Computer graphics (computer science)
Computer_graphics_(computer_science)
Large language model developed by Google
Gemini is a family of multimodal large language models (LLMs) developed by Google DeepMind, and the successor to LaMDA and PaLM 2. Comprising Gemini Pro
Gemini_(language_model)
Collaborative approach to designing and developing software
using Real data, whilst being Intention revealing, Essential and Focused (BRIEF). BDD combines the techniques of TDD with ideas from domain-driven design
Behavior-driven_development
Government proposals, principles and actions
Hasan, A.; Putri, E. R. M.; Susanto, H.; Nuraini, N. (2021-01-20). "Data-driven modeling and forecasting of COVID-19 outbreak for public policy making". ISA
Public_policy
Operational model of business processes
data-driven process structures. Another related thread of work is the use of state machines to model object lifecycles. Industries often define data objects
Artifact-centric business process model
Artifact-centric_business_process_model
Statistical concept
model is a probabilistic model for representing the presence of subpopulations within an overall population, without requiring that an observed data set
Mixture_model
Subset of artificial intelligence
ultimate model will be. Leo Breiman distinguished two statistical modelling paradigms: the data model and the algorithmic model, wherein "algorithmic model" means
Machine_learning
Dimensionality reduction algorithm
Bingni W. Brunton, and Joshua L. Proctor: Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems, SIAM (2016), ISBN 978-1-61197-449-2, doi:10.1137/1
Dynamic_mode_decomposition
Open source platform
large-scale data analysis and model deployment. H2O is primarily used by data scientists and developers for statistical modeling and data-driven decision-making
H2O_(software)
Software design modeling notation
Model-based testing – Application of model-based design Model-driven engineering – Software development methodology Modeling and Analysis of Real Time and Embedded
Unified_Modeling_Language
by Fourier Surrogate Modeling. Entropy 2020, 22, 285. J. -Y. Li, Z. -H. Zhan, C. Wang, H. Jin and J. Zhang, Boosting Data-Driven Evolutionary Algorithm
Fitness_approximation
Swiss brain research initiative
neocortical column. This marked the end of the first phase, delivering a data-driven process for creating, validating, and researching the neocortical column
Blue_Brain_Project
Environmental engineer
computational tools, artificial intelligence, machine learning and data-driven models for sustainable and resilient solutions in water and wastewater. Katsou
Evina_Katsou
Software creating a unified customer database accessible to other systems
frequently applied to the data cleaning process, identifying duplicate records or anomalies during ingestion. CDPs are used for data-driven marketing, analytics
Customer_data_platform
Chinese artificial intelligence company
deep learning model on 21 October 2016; before then, it had used CPU-based linear models. By the end of 2017, most of its trading was driven by AI. Liang
DeepSeek
Reinforcement learning method
In reinforcement learning, error-driven learning is a method for adjusting a model's (intelligent agent's) parameters based on the difference between
Error-driven_learning
Agile database modeling technique
for conceptual modeling similar to that of entity-relationship modeling, with extensions for working with temporal data. The modeling technique involves
Anchor_modeling
Computer programming paradigm
the event-driven model, interrupt handling and exception handling have many similarities. It is important to differentiate between event-driven and message-driven
Event-driven_programming
French neuroscientist (1951–2024)
comprehensive data-driven models of cat primary visual cortex, establishing new standards for the integration of experimental data with computational modelling. Frégnac's
Yves_Frégnac
Software development process model
The spiral model is a risk-driven software development process model. Based on the unique risk patterns of a given project, the spiral model guides a team
Spiral_model
Graphical representation for specifying business processes
Business Process Model and Notation modeling tools CMMN (Case Management Model and Notation) Event-driven process chain Process driven messaging service
Business Process Model and Notation
Business_Process_Model_and_Notation
DATA DRIVEN-MODEL
DATA DRIVEN-MODEL
Female
English
 English surname transferred to unisex forename use, possibly DANA means "from Denmark." Compare with other forms of Dana.
Female
Hungarian
 Short form of Hungarian Katalin, KATA means "pure." Compare with other forms of Kata.
Female
English
 Middle English name DARA means "brave, daring." Compare with another form of Dara.
Male
English
English name possibly derived from the Old English word drǽfend, DRAVEN means "hunter."Â
Male
Hebrew
Variant spelling of Hebrew Dathan, DATAN means "belonging to a fountain."
Female
Polish
Short form of Polish Edyta, DYTA means "rich battle."
Male
Iranian/Persian
 Short form of Persian Dârayavahush, DARA means "possesses a lot, wealthy." Compare with other forms of Dara.
Female
Finnish
 Short form of Finnish Katariina, KATA means "pure." Compare with other forms of Kata.
Surname or Lastname
English
English : occupational name for a driver of horses or oxen attached to a cart or plow, or of loose cattle, from a Middle English agent derivative of Old English drīfan ‘to drive’.
Female
Russian
 Short form of Russian Yekaterina, KATA means "pure." Compare with other forms of Kata.
Female
Hebrew
(×“Ö¼Ö¸× Ö¸×”) Feminine form of Hebrew Dan, DANA means "judge." Compare with other forms of Dana.
Female
Finnish
Variant form of Finnish Aada, AATA means "noble."
Female
Hindi/Indian
(लता) Hindi name derived from a plant name, from the Sanskrit word lata, LATA means "creeper," in reference to a creeping plant.
Female
Polish
 Variant spelling of Polish Dyta, DITA means "rich battle." Compare with another form of Dita.
Female
Hebrew
(דִּיתָה) Pet form of Hebrew Yehuwdiyth, DITA means "Jewess" or "praised." Compare with another form of Dita.
Male
Irish
 From Irish Gaelic Mac Dara, DARA means "son of oak." Compare with other forms of Dara.
Male
Turkish
Turkish name ATA means "ancestor."
Male
English
English surname transferred to unisex forename use, possibly DANA means "from Denmark."
Male
French
French name derived from Latin Adrianus, ADRIEN means "from Hadria."
Female
Slavic
 Short form of Slavic Bogdana, DANA means "gift from God." Compare with other forms of Dana.
DATA DRIVEN-MODEL
DATA DRIVEN-MODEL
Girl/Female
Muslim/Islamic
Beautiful
Boy/Male
Australian, German, Italian, Portuguese
Victory of the People
Boy/Male
British, English
Stag Meadow
Girl/Female
Assamese, Bengali, Indian
Bright
Boy/Male
Hindu
Girl/Female
Hindu
Stream
Girl/Female
Gujarati, Indian
Fame
Boy/Male
Arabic
Separation
Boy/Male
Arabic, Muslim
One who Indicates by Signs to the Religion
Boy/Male
Muslim
Eminent, Exalted, High, Sublime, Similar
DATA DRIVEN-MODEL
DATA DRIVEN-MODEL
DATA DRIVEN-MODEL
DATA DRIVEN-MODEL
DATA DRIVEN-MODEL
n.
A collection of objects that are driven; a mass of logs to be floated down a river.
a.
Driven by winds or storms; forced by stress of weather.
p. pr. & vb. n.
of Drive
imp.
of Drive.
v. t.
To impel or urge onward by force in a direction away from one, or along before one; to push forward; to compel to move on; to communicate motion to; as, to drive cattle; to drive a nail; smoke drives persons from a room.
n.
One who drives cattle or sheep to market; one who makes it his business to purchase cattle, and drive them to market.
p. p.
Driven.
n.
A boat driven by the tide.
n.
The point of time at which a transaction or event takes place, or is appointed to take place; a given point of time; epoch; as, the date of a battle.
n.
The driving wheel of a locomotive.
p. p.
of Drive. Also adj.
v. t.
To note or fix the time of, as of an event; to give the date of; as, to date the building of the pyramids.
imp.
of Drive
p. p.
of Drive
a.
Driven to the end, as a nail; driven close.
n.
The fruit of the date palm; also, the date palm itself.
p. p.
of Drive.
n.
A place suitable or agreeable for driving; a road prepared for driving.
n.
A collection of cattle driven, or cattle collected for driving; a number of animals, as oxen, sheep, or swine, driven in a body.