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Processing only necessary personal information
Data minimization is the principle of collecting, processing and storing only the necessary amount of personal information required for a specific purpose
Data_minimization
German email service
multi-layered encryption. In general, Posteo “takes the principle of data minimization very seriously.”[citation needed] At the end of January 2019, the
Posteo
Decentralized machine learning
generally concerned with and motivated by issues such as data privacy, data minimization, and data access rights. Its applications involve a variety of research
Federated_learning
Technologies to minimize personal data use and maximize data security
assumption here is that third-parties cannot be trusted. Data protection goals include data minimization and the reduction of trust in third-parties. Examples
Privacy-enhancing technologies
Privacy-enhancing_technologies
Legal issues regarding the collection and dissemination of data
to address AI and data privacy including data minimization requirements, auditing of AI, and giving users an option to opt out of data collection when using
Information_privacy
Privacy in blockchain systems
ledgers can raise data-minimization concerns where such data are linkable to identifiable individuals. Guidance on blockchain and data protection emphasizes
Blockchain_privacy
Networking protocol for clock synchronization
IETF. doi:10.17487/RFC5908. RFC 5908. draft-ietf-ntp-data-minimization NTP Client Data Minimization I-D Official website Official Stratum One Time Servers
Network_Time_Protocol
Visual representation of data
Data and information visualization (data viz/vis or info viz/vis) is the practice of designing and creating graphic or visual representations of quantitative
Data and information visualization
Data_and_information_visualization
Facility used to house computer servers
A data center is a physical room, building, or facility for the purpose of the storage, management, and dissemination of data and information, including
Data_center
and (b) minimize the error when the model predicts Y for a given range of values of X. A data product is a computer application that takes data inputs
Data_analysis
Principle in statistical learning theory
empirical risk minimization principle consists in solving the above optimization problem. Guarantees for the performance of empirical risk minimization depend
Empirical_risk_minimization
Process of analyzing large data sets
Data mining is the process of extracting and finding patterns in massive data sets involving methods at the intersection of machine learning, statistics
Data_mining
Machine learning optimization algorithm
Sharpness Aware Minimization (SAM) is an optimization algorithm used in machine learning that aims to improve model generalization. The method seeks to
Sharpness_aware_minimization
Machine learning paradigm
empirical risk minimization and structural risk minimization. Empirical risk minimization seeks the function that best fits the training data. Structural
Supervised_learning
Extremely large or complex datasets
Big data primarily refers to data sets that are too large or complex to be dealt with by traditional data-processing software. Data with many entries
Big_data
Proposed orbital infrastructure
solar-pressure-based passive attitude stabilization to minimize the mass of MW-scale orbital data centers. In January 2026, SpaceX filed plans with the
Space-based_data_center
Ethiopian national identification system
rules on personal data protection. It recognizes that personal data belongs to the resident. Based on the principle of data minimization, the proclamation
Fayda_ID
United States proposed federal online privacy bill
given the Federal Trade Commission a year to define those terms. Data minimization is a common principle among other privacy laws, but the ADPPA would
American Data Privacy and Protection Act
American_Data_Privacy_and_Protection_Act
Proposed data privacy law
use of data and asking them to accept the terms in order to continue using the website or application. Data minimization places limits on what data can be
American_Privacy_Rights_Act
Task of transforming a deterministic finite automaton
In automata theory (a branch of theoretical computer science), DFA minimization is the task of transforming a given deterministic finite automaton (DFA)
DFA_minimization
2010s social media data misuse
In the 2010s, personal data belonging to millions of Facebook users was collected by British consulting firm Cambridge Analytica for political advertising
Facebook–Cambridge Analytica data scandal
Facebook–Cambridge_Analytica_data_scandal
Combining data from multiple sources
Data integration is the process of combining, sharing, or synchronizing data from multiple sources to provide users with a unified view. There are a wide
Data_integration
EU regulation on the use of electronic health data
data shall be anonymized (60) and users are not allowed to attempt reidentification (61[3]). Health Data Access Bodies must ensure data minimization and
European_Health_Data_Space
Openly accessible data
several World Data Centres with the mission to minimize the risk of data loss and to maximize data accessibility. While the open-science-data movement long
Open_data
Facilities containing Google servers
into a MapReduce over many small indices. Partition index data and computation to minimize communication and evenly balance the load across servers, because
Google_data_centers
Framework for systems engineering
Collection of data must be fair, lawful, and limited to the stated purpose. Data minimization - Collection of data should be minimized as much as possible
Privacy_by_design
Reduction of data redundancy
database in accordance with a series of normal forms to reduce data redundancy and improve data integrity. It was first proposed by British computer scientist
Database_normalization
Process of digitizing data
analysis. Inputting data entry requires accuracy and consistency so that errors are minimized. An example of a digitized tool used for data entry are spreadsheet
Data_entry
Iterative optimization method
stands for “Majorize-Minimization” or “Minorize-Maximization”, depending on whether the desired optimization is a minimization or a maximization. Despite
MM_algorithm
Set of methods for supervised statistical learning
grows large. This approach is called empirical risk minimization, or ERM. In order for the minimization problem to have a well-defined solution, we have
Support_vector_machine
Digital serial communication standard
Transition-minimized differential signaling (TMDS) is a technology for transmitting high-speed serial data used by the DVI and HDMI video interfaces,
Transition-minimized differential signaling
Transition-minimized_differential_signaling
This is a list of data science software and platforms used in data science, which includes programming languages, programming environments, machine learning
List_of_data_science_software
Change of statistical properties over time
predictive 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
Organized collection of data in computing
In computing, a database is an organized collection of data or a type of data store based on the use of a database management system (DBMS), the software
Database
Stored data in computer systems
backup, or data backup is a copy of computer data taken and stored elsewhere so that it may be used to restore the original after a data loss event.
Backup
Gathering information for analysis
identification of actions necessary for correcting faulty data collection practices and also minimizing such future occurrences. A team is more likely to not
Data_collection
Type of database that uses vectors to represent other data
vector search engine is a database that stores and retrieves embeddings of data in vector space. Vector databases typically implement approximate nearest
Vector_database
Tasks in machine learning
Various networks are trained by minimization of an appropriate error function defined with respect to a training data set. The performance of the networks
Training, validation, and test data sets
Training,_validation,_and_test_data_sets
the VC dimension. In practical terms, Structural Risk Minimization is implemented by minimizing E t r a i n + β H ( W ) {\displaystyle E_{train}+\beta
Structural_risk_minimization
Framework for machine learning
the function f S {\displaystyle f_{S}} that minimizes the empirical risk is called empirical risk minimization. The choice of loss function is a determining
Statistical_learning_theory
Data analysis technique
dispersion minimization (PDM) is a data analysis technique that searches for periodic components of a time series data set. It is useful for data sets with
Phase_dispersion_minimization
Data collection system
Data localization or data residency law requires data about a nation's citizens or residents to be collected, processed, and/or stored inside the country
Data_localization
Communications protocol standard in FM radio broadcasts
harmonic of the 19 kHz FM stereo pilot tone to minimize interference and intermodulation between the data signal, the stereo pilot and the 38 kHz DSB-SC
Radio_Data_System
European Union regulatory standards
The General Data Protection Regulation (GDPR) is a European Union regulation that specifies standards for data protection and electronic privacy in the
GDPR_fines_and_notices
Method of data analysis
fits the data while being orthogonal to the first i − 1 {\displaystyle i-1} vectors. Here, a best-fitting line is defined as one that minimizes the average
Principal_component_analysis
Creating a model of the data in a system
as explicit and easy to understand as possible to minimize misinterpretation and duplication. Data models for different systems are arbitrarily different
Data_modeling
Intelligence of machines
other forms of data. These models learn the underlying patterns and structures of their training data, and use them to generate new data in response to
Artificial_intelligence
Hardware or software designed to provide company
Blueprint for an AI Bill of Rights which outlines principles for data minimization, user consent, transparency, and heightened protections in high-risk
Artificial_human_companion
Method of protecting data
applications without the trust of the third-parties. The data protection goal is data minimization and reduction of the trust in third-parties and the freedom
Hard_privacy_technologies
Optimization algorithm
\mathbf {A} \mathbf {x} -\mathbf {b} =0} reformulated as a quadratic minimization problem. If the system matrix A {\displaystyle \mathbf {A} } is real
Gradient_descent
but designed to be more suitable for data center management: it uses the interfaces defined in IPMI, but minimizes the number of optional interfaces and
Data Center Manageability Interface
Data_Center_Manageability_Interface
Graph drawing with few edge bends
desirable to minimize the number of bends per edge (sometimes called the curve complexity) or the total number of bends in a drawing. Bend minimization is the
Bend_minimization
Set of machine learning methods
function is still a kernel. For a set of data X {\displaystyle X} with labels Y {\displaystyle Y} , the minimization problem can then be written as min β
Multiple_kernel_learning
Method for hiding personal data in databases
technical and organizational measure to help enforce data minimization principles and compliance with Data Protection by Design and by Default obligations
Pseudonymization
Vector quantization algorithm minimizing the sum of squared deviations
centroid). This results in a partitioning of the data space into Voronoi cells. k-means clustering minimizes within-cluster variances (squared Euclidean distances)
K-means_clustering
Database modeling method
information[citation needed]. Data vault is designed to avoid or minimize the impact of those issues by moving them to areas of the data warehouse that are outside
Data_vault_modeling
Practice of completely wiping data from a storage medium
Data sanitization involves the secure and permanent erasure of sensitive data from datasets and media to guarantee that no residual data can be recovered
Data_sanitization
Study of collection and analysis of data
collection, organization, analysis, interpretation, and presentation of data. In applying statistics to a scientific, industrial, or social problem, it
Statistics
Subfield of mathematical optimization
figure to the right, Other special cases include; Least squares Quadratic minimization with convex quadratic constraints Geometric programming Entropy maximization
Convex_optimization
Category of cloud computing
funded by means such as advertising, affiliate marketing, or selling consumer data. One of the most popular models for Internet start-ups and mobile apps is
Software_as_a_service
Iterative method for minimizing convex functions
minimization was studied by Arkadi Nemirovski and David B. Yudin (Judin). As an algorithm for solving linear programming problems with rational data,
Ellipsoid_method
Technique in numerical linear algebra
More precisely, it is a minimization problem, in which the cost function measures the fit between a given matrix (the data) and an approximating matrix
Low-rank_approximation
Real-world applications of data mining
identify patterns and trends, and minimize potential losses. Data mining techniques can be applied to visual data in agriculture to extract meaningful
Examples_of_data_mining
Least squares approximation of linear functions to data
r_{i}} and then for f {\displaystyle f} , this minimization problem becomes the quadratic minimization problem above with X i j = φ j ( x i ) , {\displaystyle
Linear_least_squares
Sanitizing and hiding of undesirable qualities
Whitewashing is the act of minimizing or covering up vices, crimes or scandals, or of exonerating the guilty by means of a perfunctory investigation or
Whitewashing_(communications)
Automated software testing technique
the most recent revision using the uploaded minimized failure-inducing input. Automated input minimization (or test case reduction) is an automated debugging
Fuzzing
Mapping of a known quantity to an unknown entity
For data storage, identification is the capability to find, retrieve, report, change, or delete specific data without ambiguity. This applies especially
Identification_(information)
Principle of interchangeability of data and code
Guido; Kornstaedt, Leif; Smolka, Gert (March 2006). "Generic Pickling and Minimization". Electronic Notes in Theoretical Computer Science. 148 (2): 79–103.
Code_as_data
Grouping a set of objects by similarity
Cluster analysis, or clustering, is a data analysis technique aimed at partitioning a set of objects into groups such that objects within the same group
Cluster_analysis
Signal processing technique
is constrained by the data fidelity term. This may contain noise and artifacts as no regularization is performed. The minimization of P1 is solved through
Compressed_sensing
Research field that lies at the intersection of machine learning and computer security
Chawla, Sanjay (2010). "Mining adversarial patterns via regularized loss minimization" (PDF). Machine Learning. 81: 69–83. doi:10.1007/s10994-010-5199-2. S2CID 17497168
Adversarial_machine_learning
Average uncertainty in variable's states
learning is to minimize uncertainty. Decision tree learning algorithms use relative entropy to determine the decision rules that govern the data at each node
Entropy_(information_theory)
Computer operations that do not copy memory
enable data transfer between memory spaces without requiring the CPU to copy the data. By avoiding redundant copying, zero-copy methods minimize CPU usage
Zero-copy
Russian-German physicist
than an explicit minimization of travel time that is the objective of System Optimum and User Equilibrium, the BM principle minimizes the probability of
Boris_Kerner
Data extraction technique
parsed, and minimize ambiguity. Very often, these transmissions are not human-readable at all. Thus, the key element that distinguishes data scraping from
Data_scraping
Statistical data type
ordinal data. The data are divided into different categories such that each observation is similar to others. Dispersion is measured and minimized in each
Ordinal_data
Origins and events of data
Data lineage refers to the process of tracking how data is generated, transformed, transmitted and used across systems over time. It documents data's
Data_lineage
Internet-like structure connecting everyday physical objects
processing ability, software, and other technologies that connect and exchange data with other devices and systems over the Internet or other communication networks
Internet_of_things
Statistical concept
studies to minimize the occurrence of missing values. Graphical models can be used to describe the missing data mechanism in detail. Values in a data set are
Missing_data
Use of tools to track data related to a product
product data management include ensuring all stakeholders share a common understanding, that confusion during the execution of the processes is minimized, and
Product_data_management
Urban development project in Toronto, Ontario, Canada
data governance plans for the project, including "responsible artificial intelligence" guidelines and data minimization and clearing of personal data
Sidewalk_Toronto
Overview of and topical guide to machine learning
Classification Multi-label classification Clustering Data Pre-processing Empirical risk minimization Feature engineering Feature learning Learning to rank
Outline_of_machine_learning
Type of computer memory
major consideration for DRAM devices, especially commodity DRAMs. The minimization of DRAM cell area can produce a denser device and lower the cost per
Dynamic_random-access_memory
Practices to secure access to a data center
authentication. Single entry point into co-location facility. Minimization of traffic through dedicated data halls, suites, and cages. Further access restriction
Data_center_security
Type of halftoning
H. Ninke of Bell Labs disclosed a similar method, which they termed "minimized average error" using a larger kernel 1 48 [ − − # 7 5 3 5 7 5 3 1 3 5
Error_diffusion
("switchover") time. Through the use of standby redo log files, Data Guard can minimize data loss. It supports heterogeneous configurations in which the primary
Oracle_Data_Guard
Class of parallel computing applications
Data-intensive computing is a class of parallel computing applications which use a data parallel approach to process large volumes of data typically terabytes
Data-intensive_computing
Subset of artificial intelligence
development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without being explicitly programmed
Machine_learning
Individual participant data (also known as individual patient data, often abbreviated IPD) is raw data from individual participants, and is often used
Individual_participant_data
Data analysis technique
Data augmentation is a statistical technique which allows maximum likelihood estimation from incomplete data. Data augmentation has important applications
Data_augmentation
Study of mathematical algorithms for optimization problems
been found for minimization problems with convex functions and other locally Lipschitz functions, which meet in loss function minimization of the neural
Mathematical_optimization
Measure of algorithm accuracy
current data may not provide much information about the algorithm's predictive ability on new, unseen data. The generalization error can be minimized by avoiding
Generalization_error
Video-sharing platform
non-user data collection (including of children and teenagers) and data use by the companies that found that the companies' user and non-user data practices
YouTube
Intermediate storage area used in data processing during the ETL process
used for data processing during the extract, transform and load (ETL) process. The data staging area sits between the data source(s) and the data target(s)
Staging_(data)
Method for solving certain optimization problems
Levenberg–Marquardt numerical algorithms. IRLS can be used for ℓ1 minimization and smoothed ℓp minimization, p < 1, in compressed sensing problems. It has been proved
Iteratively reweighted least squares
Iteratively_reweighted_least_squares
Artificial satellite that relays radio signals
and 15 meters wavelength. The satellite was not placed in orbit to send data from one point on Earth to another, but the radio transmitter was meant to
Communications_satellite
Type of data available for anyone to analyze
Open scientific data or open research data is a type of open data focused on publishing observations and results of scientific activities available for
Open_scientific_data
several efficient algorithms on graphs and finite automata, including DFA minimization, the Coffman–Graham algorithm for parallel scheduling, and lexicographic
Partition_refinement
Sequence of data points over time
Zhixuan; Li, Wang; Jiang, Yunlong; Liu, Xingshen (9 July 2025). "The Use of Minimization Solvers for Optimizing Time-Varying Autoregressive Models and Their Applications
Time_series
Process of constructing a curve that has the best fit to a series of data points
data. For linear-algebraic analysis of data, "fitting" usually means trying to find the curve that minimizes the vertical (y-axis) displacement of a
Curve_fitting
DATA MINIMIZATION
DATA MINIMIZATION
Male
Turkish
Turkish name ATA means "ancestor."
Male
Hebrew
(דֶּרַע) Hebrew name DARA means "the arm." In the bible, this is the name of a son of Zerah. Compare with other forms of Dara.
Male
Iranian/Persian
 Short form of Persian Dârayavahush, DARA means "possesses a lot, wealthy." Compare with other forms of Dara.
Female
Russian
 Short form of Russian Yekaterina, KATA means "pure." Compare with other forms of Kata.
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
Slavic
 Short form of Slavic Bogdana, DANA means "gift from God." Compare with other forms of Dana.
Male
English
English surname transferred to unisex forename use, possibly DANA means "from Denmark."
Female
Hungarian
 Short form of Hungarian Katalin, KATA means "pure." Compare with other forms of Kata.
Female
Finnish
 Short form of Finnish Katariina, KATA means "pure." Compare with other forms of Kata.
Girl/Female
Hindu
A creeper
Female
Hebrew
(דִּיתָה) Pet form of Hebrew Yehuwdiyth, DITA means "Jewess" or "praised." Compare with another form of Dita.
Female
Finnish
Variant form of Finnish Aada, AATA means "noble."
Female
Hebrew
(×“Ö¼Ö¸× Ö¸×”) Feminine form of Hebrew Dan, DANA means "judge." Compare with other forms of Dana.
Female
Polish
Short form of Polish Edyta, DYTA means "rich battle."
Male
Irish
Irish Gaelic name MAC DARA means "son of oak." This is the name of a patron saint and is still common in Ireland, especially in Connemara.
Female
English
 English surname transferred to unisex forename use, possibly DANA means "from Denmark." Compare with other forms of Dana.
Female
English
 Middle English name DARA means "brave, daring." Compare with another form of Dara.
Male
Hebrew
Variant spelling of Hebrew Dathan, DATAN means "belonging to a fountain."
Male
Irish
 From Irish Gaelic Mac Dara, DARA means "son of oak." Compare with other forms of Dara.
Female
Polish
 Variant spelling of Polish Dyta, DITA means "rich battle." Compare with another form of Dita.
DATA MINIMIZATION
DATA MINIMIZATION
Boy/Male
American, Australian, British, Chinese, Christian, Danish, English, French, German, Greek, Irish, Swedish
Gift of God; Wealthy Spearman; Wealthy Protector; Courageous People; People's Ruler; Form of Theodore; Divine Gift; Protector of Wealth
Male
Egyptian
, short for Khnum-khufu.
Boy/Male
Indian, Sanskrit
A Type of White Lotus
Girl/Female
Tamil
Attracted, Infatuated
Female
Hebrew
Variant spelling of Hebrew Atarah, ATARA means" crown" or "wreath."
Girl/Female
Hindu
Love, Pure
Boy/Male
American, Australian, Christian, Dutch, Hebrew
God Gives Strength
Girl/Female
Hindu
Arising. the raised one
Female
German
Pet form of Swiss/German Verena, possibly VRENI means "to fear, to respect."
Girl/Female
Hindu, Indian, Traditional
Lord Krishna's Lover
DATA MINIMIZATION
DATA MINIMIZATION
DATA MINIMIZATION
DATA MINIMIZATION
DATA MINIMIZATION
n.
Death; decease; the date of one's death.
a.
Being out of date; antiquated.
p. pr. & vb. n.
of Date
v. t.
To date erroneously.
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.
n.
Assigned end; conclusion.
n. pl.
See Datum.
imp. & p. p.
of Date
n.
Given or assigned length of life; dyration.
v. t.
To note the time of writing or executing; to express in an instrument the time of its execution; as, to date a letter, a bond, a deed, or a charter.
a.
Without date; having no fixed time.
pl.
of Datum
n.
Prior date; a date antecedent to another which is the actual date.
n.
A New Zealand forest tree (Metrosideros robusta), also, its hard dark red wood, used by the Maoris for paddles and war clubs.
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 fruit of the date palm; also, the date palm itself.
n.
That addition to a writing, inscription, coin, etc., which specifies the time (as day, month, and year) when the writing or inscription was given, or executed, or made; as, the date of a letter, of a will, of a deed, of a coin. etc.
a.
Erroneous in date; containing an anachronism.
v. i.
To have beginning; to begin; to be dated or reckoned; -- with from.