Table of Contents
140 relations: Actuarial science, Algorithm, American Society of Civil Engineers, Analytics, Augmented Analytics, Bar chart, Bifurcation theory, Big data, Bonferroni correction, Bootstrapping (statistics), Bush tax cuts, Business intelligence, Cartogram, Causality, Censoring (statistics), CERN, Chaos theory, Cognitive bias, Collectively exhaustive events, Common-method variance, Computational physics, Computational science, Confirmation bias, Congressional Budget Office, Contextualization (computer science), Correlation, Cronbach's alpha, Cross-industry standard process for data mining, Cross-validation (statistics), Daniel Patrick Moynihan, Data, Data acquisition, Data and information visualization, Data blending, Data cleansing, Data custodian, Data governance, Data integration, Data mining, Data model, Data modeling, Data science, Data system, Data transformation (computing), Data transformation (statistics), Descriptive statistics, DevInfo, Digital signal processing, Dimensionality reduction, Display device, ... Expand index (90 more) »
- Data processing
Actuarial science
Actuarial science is the discipline that applies mathematical and statistical methods to assess risk in insurance, pension, finance, investment and other industries and professions.
See Data analysis and Actuarial science
Algorithm
In mathematics and computer science, an algorithm is a finite sequence of mathematically rigorous instructions, typically used to solve a class of specific problems or to perform a computation.
See Data analysis and Algorithm
American Society of Civil Engineers
The American Society of Civil Engineers (ASCE) is a tax-exempt professional body founded in 1852 to represent members of the civil engineering profession worldwide.
See Data analysis and American Society of Civil Engineers
Analytics
Analytics is the systematic computational analysis of data or statistics. Data analysis and Analytics are big data.
See Data analysis and Analytics
Augmented Analytics
Augmented Analytics is an approach of data analytics that employs the use of machine learning and natural language processing to automate analysis processes normally done by a specialist or data scientist.
See Data analysis and Augmented Analytics
Bar chart
A bar chart or bar graph is a chart or graph that presents categorical data with rectangular bars with heights or lengths proportional to the values that they represent.
See Data analysis and Bar chart
Bifurcation theory
Bifurcation theory is the mathematical study of changes in the qualitative or topological structure of a given family of curves, such as the integral curves of a family of vector fields, and the solutions of a family of differential equations.
See Data analysis and Bifurcation theory
Big data
Big data primarily refers to data sets that are too large or complex to be dealt with by traditional data-processing application software. Data analysis and Big data are data management.
See Data analysis and Big data
Bonferroni correction
In statistics, the Bonferroni correction is a method to counteract the multiple comparisons problem.
See Data analysis and Bonferroni correction
Bootstrapping (statistics)
Bootstrapping is any test or metric that uses random sampling with replacement (e.g. mimicking the sampling process), and falls under the broader class of resampling methods.
See Data analysis and Bootstrapping (statistics)
Bush tax cuts
The phrase Bush tax cuts refers to changes to the United States tax code passed originally during the presidency of George W. Bush and extended during the presidency of Barack Obama, through.
See Data analysis and Bush tax cuts
Business intelligence
Business intelligence (BI) consists of strategies and technologies used by enterprises for the data analysis and management of business information. Data analysis and business intelligence are data management.
See Data analysis and Business intelligence
Cartogram
A cartogram (also called a value-area map or an anamorphic map, the latter common among German-speakers) is a thematic map of a set of features (countries, provinces, etc.), in which their geographic size is altered to be directly proportional to a selected variable, such as travel time, population, or gross national income.
See Data analysis and Cartogram
Causality
Causality is an influence by which one event, process, state, or object (a cause) contributes to the production of another event, process, state, or object (an effect) where the cause is partly responsible for the effect, and the effect is partly dependent on the cause. Data analysis and Causality are scientific method.
See Data analysis and Causality
Censoring (statistics)
In statistics, censoring is a condition in which the value of a measurement or observation is only partially known.
See Data analysis and Censoring (statistics)
CERN
The European Organization for Nuclear Research, known as CERN (Conseil européen pour la Recherche nucléaire), is an intergovernmental organization that operates the largest particle physics laboratory in the world.
Chaos theory
Chaos theory is an interdisciplinary area of scientific study and branch of mathematics. Data analysis and Chaos theory are computational fields of study.
See Data analysis and Chaos theory
Cognitive bias
A cognitive bias is a systematic pattern of deviation from norm or rationality in judgment.
See Data analysis and Cognitive bias
Collectively exhaustive events
In probability theory and logic, a set of events is jointly or collectively exhaustive if at least one of the events must occur.
See Data analysis and Collectively exhaustive events
Common-method variance
In applied statistics, (e.g., applied to the social sciences and psychometrics), common-method variance (CMV) is the spurious "variance that is attributable to the measurement method rather than to the constructs the measures are assumed to represent" or equivalently as "systematic error variance shared among variables measured with and introduced as a function of the same method and/or source".
See Data analysis and Common-method variance
Computational physics
Computational physics is the study and implementation of numerical analysis to solve problems in physics. Data analysis and Computational physics are computational fields of study.
See Data analysis and Computational physics
Computational science
Computational science, also known as scientific computing, technical computing or scientific computation (SC), is a division of science that uses advanced computing capabilities to understand and solve complex physical problems. Data analysis and Computational science are computational fields of study.
See Data analysis and Computational science
Confirmation bias
Confirmation bias (also confirmatory bias, myside bias, or congeniality bias) is the tendency to search for, interpret, favor, and recall information in a way that confirms or supports one's prior beliefs or values.
See Data analysis and Confirmation bias
Congressional Budget Office
The Congressional Budget Office (CBO) is a federal agency within the legislative branch of the United States government that provides budget and economic information to Congress.
See Data analysis and Congressional Budget Office
Contextualization (computer science)
In computer science, contextualization is the process of identifying the data relevant to an entity (e.g., a person or a city) based on the entity's contextual information.
See Data analysis and Contextualization (computer science)
Correlation
In statistics, correlation or dependence is any statistical relationship, whether causal or not, between two random variables or bivariate data.
See Data analysis and Correlation
Cronbach's alpha
Cronbach's alpha (Cronbach's \alpha), also known as tau-equivalent reliability (\rho_T) or coefficient alpha (coefficient \alpha), is a reliability coefficient and a measure of the internal consistency of tests and measures.
See Data analysis and Cronbach's alpha
Cross-industry standard process for data mining
The Cross-industry standard process for data mining, known as CRISP-DM,Shearer C., The CRISP-DM model: the new blueprint for data mining, J Data Warehousing (2000); 5:13—22.
See Data analysis and Cross-industry standard process for data mining
Cross-validation (statistics)
Cross-validation, sometimes called rotation estimation or out-of-sample testing, is any of various similar model validation techniques for assessing how the results of a statistical analysis will generalize to an independent data set.
See Data analysis and Cross-validation (statistics)
Daniel Patrick Moynihan
Daniel Patrick Moynihan (March 16, 1927 – March 26, 2003) was an American politician and diplomat.
See Data analysis and Daniel Patrick Moynihan
Data
In common usage, data is a collection of discrete or continuous values that convey information, describing the quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpreted formally. Data analysis and data are data management.
Data acquisition
Data acquisition is the process of sampling signals that measure real-world physical conditions and converting the resulting samples into digital numeric values that can be manipulated by a computer.
See Data analysis and Data acquisition
Data and information visualization
Data and information visualization (data viz/vis or info viz/vis) is the practice of designing and creating easy-to-communicate and easy-to-understand graphic or visual representations of a large amount of complex quantitative and qualitative data and information with the help of static, dynamic or interactive visual items.
See Data analysis and Data and information visualization
Data blending
Data blending is a process whereby big data from multiple sources are merged into a single data warehouse or data set. Data analysis and data blending are data management.
See Data analysis and Data blending
Data cleansing
Data cleansing or data cleaning is the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database and refers to identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting the dirty or coarse data.
See Data analysis and Data cleansing
Data custodian
In data governance groups, responsibilities for data management are increasingly divided between the business process owners and information technology (IT) departments. Data analysis and data custodian are data management.
See Data analysis and Data custodian
Data governance
Data governance is a term used on both a macro and a micro level. Data analysis and Data governance are data management.
See Data analysis and Data governance
Data integration
Data integration involves combining data residing in different sources and providing users with a unified view of them. Data analysis and data integration are data management.
See Data analysis and Data integration
Data mining
Data mining is the process of extracting and discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems.
See Data analysis and Data mining
Data model
A data model is an abstract model that organizes elements of data and standardizes how they relate to one another and to the properties of real-world entities.
See Data analysis and Data model
Data modeling
Data modeling in software engineering is the process of creating a data model for an information system by applying certain formal techniques. Data analysis and data modeling are data management.
See Data analysis and Data modeling
Data science
Data science is an interdisciplinary academic field that uses statistics, scientific computing, scientific methods, processes, scientific visualization, algorithms and systems to extract or extrapolate knowledge and insights from potentially noisy, structured, or unstructured data. Data analysis and data science are computational fields of study.
See Data analysis and Data science
Data system
Data system is a term used to refer to an organized collection of symbols and processes that may be used to operate on such symbols.
See Data analysis and Data system
Data transformation (computing)
In computing, data transformation is the process of converting data from one format or structure into another format or structure. Data analysis and data transformation (computing) are data management.
See Data analysis and Data transformation (computing)
Data transformation (statistics)
In statistics, data transformation is the application of a deterministic mathematical function to each point in a data set—that is, each data point zi is replaced with the transformed value yi.
See Data analysis and Data transformation (statistics)
Descriptive statistics
A descriptive statistic (in the count noun sense) is a summary statistic that quantitatively describes or summarizes features from a collection of information, while descriptive statistics (in the mass noun sense) is the process of using and analysing those statistics.
See Data analysis and Descriptive statistics
DevInfo
DevInfo was a database system developed under the auspices of the United Nations and endorsed by the United Nations Development Group for monitoring human development with the specific purpose of monitoring the Millennium Development Goals (MDGs), which is a set of Human Development Indicators.
Digital signal processing
Digital signal processing (DSP) is the use of digital processing, such as by computers or more specialized digital signal processors, to perform a wide variety of signal processing operations. Data analysis and digital signal processing are computational fields of study.
See Data analysis and Digital signal processing
Dimensionality reduction
Dimensionality reduction, or dimension reduction, is the transformation of data from a high-dimensional space into a low-dimensional space so that the low-dimensional representation retains some meaningful properties of the original data, ideally close to its intrinsic dimension.
See Data analysis and Dimensionality reduction
Display device
A display device is an output device for presentation of information in visual or tactile form (the latter used for example in tactile electronic displays for blind people).
See Data analysis and Display device
Dropout (communications)
A dropout is a momentary loss of signal in a communications system, usually caused by noise, propagation anomalies, or system malfunctions.
See Data analysis and Dropout (communications)
DuPont analysis
DuPont analysis (also known as the DuPont identity, DuPont equation, DuPont framework, DuPont model, DuPont method or DuPont system) is a tool used in financial analysis, where return on equity (ROE) is separated into its component parts.
See Data analysis and DuPont analysis
Early case assessment
Early case assessment refers to estimating risk (cost of time and money) to prosecute or defend a legal case.
See Data analysis and Early case assessment
Education
Education is the transmission of knowledge, skills, and character traits and manifests in various forms.
See Data analysis and Education
ELKI
ELKI (Environment for Developing KDD-Applications Supported by Index-Structures) is a data mining (KDD, knowledge discovery in databases) software framework developed for use in research and teaching.
Exploratory data analysis
In statistics, exploratory data analysis (EDA) is an approach of analyzing data sets to summarize their main characteristics, often using statistical graphics and other data visualization methods.
See Data analysis and Exploratory data analysis
Fact
A fact is a true datum about one or more aspects of a circumstance.
Federal Highway Administration
The Federal Highway Administration (FHWA) is a division of the United States Department of Transportation that specializes in highway transportation.
See Data analysis and Federal Highway Administration
Financial statement analysis
Financial statement analysis (or just financial analysis) is the process of reviewing and analyzing a company's financial statements to make better economic decisions to earn income in future.
See Data analysis and Financial statement analysis
Fourier analysis
In mathematics, Fourier analysis is the study of the way general functions may be represented or approximated by sums of simpler trigonometric functions.
See Data analysis and Fourier analysis
Gideon J. Mellenbergh
Gideon Jan (Don) Mellenbergh (9 August 1938 – 27 March 2021) was a Dutch psychologist, who was Professor of Psychological methods at the University of Amsterdam, known for his contribution in the field of psychometrics, and Social Research Methodology.
See Data analysis and Gideon J. Mellenbergh
Harmonic
In physics, acoustics, and telecommunications, a harmonic is a sinusoidal wave with a frequency that is a positive integer multiple of the fundamental frequency of a periodic signal.
See Data analysis and Harmonic
Herman J. Adèr
Hermanus Johannes "Herman J." Adèr (born May 20, 1940 at jvank.nl. Accessed October 8, 2013.) is a Dutch statistician/methodologist and consultant at the italic, the VU University Medical Center and the University of Stavanger, known for work on Methodological Modelling and Social Research Methodology.
See Data analysis and Herman J. Adèr
Histogram
A histogram is a visual representation of the distribution of quantitative data.
See Data analysis and Histogram
Hypothesis
A hypothesis (hypotheses) is a proposed explanation for a phenomenon. Data analysis and hypothesis are scientific method.
See Data analysis and Hypothesis
Imputation (statistics)
In statistics, imputation is the process of replacing missing data with substituted values.
See Data analysis and Imputation (statistics)
Information
Information is an abstract concept that refers to something which has the power to inform.
See Data analysis and Information
Information systems technician
An information systems technician is a technician whose responsibility is maintaining communications and computer systems.
See Data analysis and Information systems technician
Instrumentation
Instrumentation is a collective term for measuring instruments, used for indicating, measuring, and recording physical quantities.
See Data analysis and Instrumentation
Internal consistency
In statistics and research, internal consistency is typically a measure based on the correlations between different items on the same test (or the same subscale on a larger test).
See Data analysis and Internal consistency
Iteration
Iteration is the repetition of a process in order to generate a (possibly unbounded) sequence of outcomes.
See Data analysis and Iteration
John Tukey
John Wilder Tukey (June 16, 1915 – July 26, 2000) was an American mathematician and statistician, best known for the development of the fast Fourier Transform (FFT) algorithm and box plot.
See Data analysis and John Tukey
Jonathan Koomey
Jonathan Koomey is a researcher who identified a long-term trend in energy-efficiency of computing that has come to be known as Koomey's law.
See Data analysis and Jonathan Koomey
Kaggle
Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.
KNIME
KNIME, the Konstanz Information Miner, is a free and open-source data analytics, reporting and integration platform.
Line chart
A line chart or line graph, also known as curve chart, is a type of chart that displays information as a series of data points called 'markers' connected by straight line segments.
See Data analysis and Line chart
List of big data companies
This is an alphabetical list of notable IT companies using the marketing term big data.
See Data analysis and List of big data companies
List of datasets for machine-learning research
These datasets are used in machine learning (ML) research and have been cited in peer-reviewed academic journals.
See Data analysis and List of datasets for machine-learning research
LTPP Data Analysis Contest
The LTPP International Data Analysis Contest or the LTPP Data Analysis Contest is an annual international data analysis contest held by the American Society of Civil Engineers and Federal Highway Administration.
See Data analysis and LTPP Data Analysis Contest
Machine learning
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data and thus perform tasks without explicit instructions.
See Data analysis and Machine learning
Manipulation check
Manipulation check is a term in experimental research in the social sciences which refers to certain kinds of secondary evaluations of an experiment.
See Data analysis and Manipulation check
McKinsey & Company
McKinsey & Company (informally McKinsey or McK) is an American multinational strategy and management consulting firm that offers professional services to corporations, governments, and other organizations.
See Data analysis and McKinsey & Company
Measurement
Measurement is the quantification of attributes of an object or event, which can be used to compare with other objects or events.
See Data analysis and Measurement
MECE principle
The MECE principle, (mutually exclusive and collectively exhaustive) is a grouping principle for separating a set of items into subsets that are mutually exclusive (ME) and collectively exhaustive (CE).
See Data analysis and MECE principle
Median
The median of a set of numbers is the value separating the higher half from the lower half of a data sample, a population, or a probability distribution.
Missing data
In statistics, missing data, or missing values, occur when no data value is stored for the variable in an observation.
See Data analysis and Missing data
Multilinear principal component analysis
Multilinear principal component analysis (MPCA) is a multilinear extension of principal component analysis (PCA) that is used to analyze M-way arrays, also informally referred to as "data tensors".
See Data analysis and Multilinear principal component analysis
Multilinear subspace learning
Multilinear subspace learning is an approach for disentangling the causal factor of data formation and performing dimensionality reduction.
See Data analysis and Multilinear subspace learning
Multiway data analysis
Multiway data analysis is a method of analyzing large data sets by representing a collection of observations as a multiway array, \in^.
See Data analysis and Multiway data analysis
Mutual exclusivity
In logic and probability theory, two events (or propositions) are mutually exclusive or disjoint if they cannot both occur at the same time.
See Data analysis and Mutual exclusivity
Nearest neighbor search
Nearest neighbor search (NNS), as a form of proximity search, is the optimization problem of finding the point in a given set that is closest (or most similar) to a given point.
See Data analysis and Nearest neighbor search
Necessary condition analysis
Necessary condition analysis (NCA) is a research approach and tool employed to discern "necessary conditions" within datasets.
See Data analysis and Necessary condition analysis
Nonlinear system
In mathematics and science, a nonlinear system (or a non-linear system) is a system in which the change of the output is not proportional to the change of the input.
See Data analysis and Nonlinear system
Nonlinear system identification
System identification is a method of identifying or measuring the mathematical model of a system from measurements of the system inputs and outputs.
See Data analysis and Nonlinear system identification
Normal distribution
In probability theory and statistics, a normal distribution or Gaussian distribution is a type of continuous probability distribution for a real-valued random variable.
See Data analysis and Normal distribution
Numeracy
Numeracy is the ability to understand, reason with, and apply simple numerical concepts.
See Data analysis and Numeracy
O'Reilly Media
O'Reilly Media, Inc. (formerly O'Reilly & Associates) is an American learning company established by Tim O'Reilly provides technical and professional skills development courses via an online learning platform.
See Data analysis and O'Reilly Media
Opinion
An opinion is a judgment, viewpoint, or statement that is not conclusive, rather than facts, which are true statements.
Orange (software)
Orange is an open-source data visualization, machine learning and data mining toolkit.
See Data analysis and Orange (software)
Outlier
In statistics, an outlier is a data point that differs significantly from other observations.
Over-the-counter data
Over-the-counter data (OTCD) is a design approach used in data systems, particularly educational technology data systems, in order to increase the accuracy of users' data analyses by better reporting data.
See Data analysis and Over-the-counter data
Pandas (software)
Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis.
See Data analysis and Pandas (software)
Panel data
In statistics and econometrics, panel data and longitudinal data are both multi-dimensional data involving measurements over time.
See Data analysis and Panel data
Phillips curve
The Phillips curve is an economic model, named after Bill Phillips, that correlates reduced unemployment with increasing wages in an economy.
See Data analysis and Phillips curve
Physics Analysis Workstation
The Physics Analysis Workstation (PAW) is an interactive, scriptable computer software tool for data analysis and graphical presentation in high-energy physics.
See Data analysis and Physics Analysis Workstation
Pie chart
A pie chart (or a circle chart) is a circular statistical graphic which is divided into slices to illustrate numerical proportion.
See Data analysis and Pie chart
Predictive analytics
Predictive analytics is a form of business analytics applying machine learning to generate a predictive model for certain business applications. Data analysis and predictive analytics are big data.
See Data analysis and Predictive analytics
Principal component analysis
Principal component analysis (PCA) is a linear dimensionality reduction technique with applications in exploratory data analysis, visualization and data preprocessing.
See Data analysis and Principal component analysis
Probability distribution
In probability theory and statistics, a probability distribution is the mathematical function that gives the probabilities of occurrence of possible outcomes for an experiment.
See Data analysis and Probability distribution
Process theory
A process theory is a system of ideas that explains how an entity changes and develops.
See Data analysis and Process theory
Propensity score matching
In the statistical analysis of observational data, propensity score matching (PSM) is a statistical matching technique that attempts to estimate the effect of a treatment, policy, or other intervention by accounting for the covariates that predict receiving the treatment.
See Data analysis and Propensity score matching
Qualitative research
Qualitative research is a type of research that aims to gather and analyse non-numerical (descriptive) data in order to gain an understanding of individuals' social reality, including understanding their attitudes, beliefs, and motivation.
See Data analysis and Qualitative research
R (programming language)
R is a programming language for statistical computing and data visualization.
See Data analysis and R (programming language)
Randomization
Randomization is a statistical process in which a random mechanism is employed to select a sample from a population or assign subjects to different groups.
See Data analysis and Randomization
Raw data
Raw data, also known as primary data, are data (e.g., numbers, instrument readings, figures, etc.) collected from a source.
See Data analysis and Raw data
Regression analysis
In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships between a dependent variable (often called the 'outcome' or 'response' variable, or a 'label' in machine learning parlance) and one or more independent variables (often called 'predictors', 'covariates', 'explanatory variables' or 'features').
See Data analysis and Regression analysis
Reliability (statistics)
In statistics and psychometrics, reliability is the overall consistency of a measure.
See Data analysis and Reliability (statistics)
Residual bit error rate
The residual bit error rate (RBER) is a receive quality metric in digital transmission, one of several used to quantify the accuracy of the received data.
See Data analysis and Residual bit error rate
Response rate (survey)
In survey research, response rate, also known as completion rate or return rate, is the number of people who answered the survey divided by the number of people in the sample.
See Data analysis and Response rate (survey)
Richard Veryard
Richard Veryard FRSA (born 1955) is a British computer scientist, author and business consultant, known for his work on service-oriented architecture and the service-based business.
See Data analysis and Richard Veryard
Richards Heuer
Richards "Dick" J. Heuer, Jr. (July 15, 1927 – August 21, 2018) was a CIA veteran of 45 years and most known for his work on analysis of competing hypotheses and his book,. This is the Introduction to Heuer's book Psychology of Intelligence Analysis.
See Data analysis and Richards Heuer
ROOT
ROOT is an object-oriented computer program and library developed by CERN.
Scatter plot
A scatter plot, also called a scatterplot, scatter graph, scatter chart, scattergram, or scatter diagram, is a type of plot or mathematical diagram using Cartesian coordinates to display values for typically two variables for a set of data.
See Data analysis and Scatter plot
SciPy
SciPy (pronounced "sigh pie") is a free and open-source Python library used for scientific computing and technical computing.
Sensitivity analysis
Sensitivity analysis is the study of how the uncertainty in the output of a mathematical model or system (numerical or otherwise) can be divided and allocated to different sources of uncertainty in its inputs.
See Data analysis and Sensitivity analysis
Standard deviation
In statistics, the standard deviation is a measure of the amount of variation of a random variable expected about its mean.
See Data analysis and Standard deviation
Statistical hypothesis test
A statistical hypothesis test is a method of statistical inference used to decide whether the data sufficiently support a particular hypothesis.
See Data analysis and Statistical hypothesis test
Statistical inference
Statistical inference is the process of using data analysis to infer properties of an underlying distribution of probability. Data analysis and Statistical inference are scientific method.
See Data analysis and Statistical inference
Statistical model validation
In statistics, model validation is the task of evaluating whether a chosen statistical model is appropriate or not.
See Data analysis and Statistical model validation
Statistical unit
In statistics, a unit is one member of a set of entities being studied.
See Data analysis and Statistical unit
Structured data analysis (statistics)
Structured data analysis is the statistical data analysis of structured data.
See Data analysis and Structured data analysis (statistics)
System identification
The field of system identification uses statistical methods to build mathematical models of dynamical systems from measured data.
See Data analysis and System identification
Table (information)
A table is an arrangement of information or data, typically in rows and columns, or possibly in a more complex structure.
See Data analysis and Table (information)
Test method
A test method is a method for a test in science or engineering, such as a physical test, chemical test, or statistical test.
See Data analysis and Test method
Text mining
Text mining, text data mining (TDM) or text analytics is the process of deriving high-quality information from text.
See Data analysis and Text mining
Type I and type II errors
In statistical hypothesis testing, a type I error, or a false positive, is the rejection of the null hypothesis when it is actually true.
See Data analysis and Type I and type II errors
Undertone series
In music, the undertone series or subharmonic series is a sequence of notes that results from inverting the intervals of the overtone series.
See Data analysis and Undertone series
United Nations Sustainable Development Group
The United Nations Sustainable Development Group (UNSDG), previously the United Nations Development Group (UNDG), is a consortium of 36 United Nations funds, programmes, specialized agencies, departments and offices that play a role in development.
See Data analysis and United Nations Sustainable Development Group
Unstructured data
Unstructured data (or unstructured information) is information that either does not have a pre-defined data model or is not organized in a pre-defined manner.
See Data analysis and Unstructured data
Wavelet
A wavelet is a wave-like oscillation with an amplitude that begins at zero, increases or decreases, and then returns to zero one or more times.
See also
Data processing
- Aggregate data
- Association of Information Technology Professionals
- Borehole image logs
- CSPro
- Centering matrix
- Certificate in Data Processing
- Chief data officer
- DOME MicroDataCenter
- DOME project
- Data analysis
- Data classification (business intelligence)
- Data entry
- Data entry clerk
- Data onboarding
- Data processing
- Data processing (disambiguation)
- Data processing inequality
- Data processing machine
- Data processing unit
- Data reporting
- Data scraping
- Data sonification
- Data validation
- Disaggregated storage
- East-west traffic
- Electronic data processing
- Epitome (data processing)
- Information industry
- Information technology audit
- Lambda architecture
- Least-squares spectral analysis
- MUMPS
- Mainframe sort merge
- Mohawk Data Sciences
- Nirvana (software)
- North-south traffic
- Operational reporting
- OutWit Hub
- Pick operating system
- Real-time data
- Relational data mining
- Rocket Software
- Social information processing
- Sorting
- Sorting algorithm
- TomoPy
- Unit record equipment
- Video imprint (computer vision)
- Web scraping
References
Also known as Algorithms for data analysis, Analytical tool, Analyze data, Data Analytics, Data Interpretation, Data analyst, Data-analysis, Free software for data analysis, Information analysis.