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Topics referred to by the same term
Preprocessing may refer to the following topics in computer science: Preprocessor, a program that processes its input data to produce output that is used
Preprocessing
Manipulation of data before it is analyzed
Data preprocessing can refer to manipulation, filtration or augmentation of data before it is analyzed, and is often an important step in the data mining
Data_preprocessing
In applied mathematics, a technique to find the shortest path
road networks. The speed-up is achieved by creating shortcuts in a preprocessing phase which are then used during a shortest-path query to skip over
Contraction_hierarchies
Program that processes input for another program
languages (e.g., C and PL/I) there is a phase of translation known as preprocessing. It can also include macro processing, file inclusion and language extensions
Preprocessor
String searching algorithm
1 {\displaystyle n-m+1} ), Boyer–Moore uses information gained by preprocessing P to skip as many alignments as possible. Previous to the introduction
Boyer–Moore string-search algorithm
Boyer–Moore_string-search_algorithm
Searching for patterns in text
be given within constant time. The requirement regarding preprocessing vary: O(m) preprocessing may be allowed after the pattern is read (but before the
String-searching_algorithm
Wafer bonding process in semiconductor production
direct bonding process of wafers any surface is divided into wafer preprocessing, pre-bonding at room temperature and annealing at elevated temperatures
Direct_bonding
Method of data analysis
with applications in exploratory data analysis, visualization and data preprocessing. The data are linearly transformed onto a new coordinate system such
Principal_component_analysis
Leader election algorithm
travel in both directions. No further restrictions are necessary. The preprocessing phase is started with a broadcast. At awake state, each node sends its
Yo-yo_(algorithm)
s} right-hand sides. It is divided into a preprocessing stage and a postprocessing stage. In the preprocessing stage, the linear system AX = F is partitioned
SPIKE_algorithm
Technique in neural networks for learning joint representations of text and images
dataset, so this preprocessing step roughly whitens the image tensor. These numbers slightly differ from the standard preprocessing for ImageNet, which
Contrastive Language–Image Pre-training
Contrastive_Language–Image_Pre-training
MRI procedure that measures brain activity by detecting associated changes in blood flow
point for analysis. The first part of that analysis is preprocessing. The first step in preprocessing is conventionally slice timing correction. The MR scanner
Functional magnetic resonance imaging
Functional_magnetic_resonance_imaging
Method used to normalize the range of independent variables
known as data normalization and is generally performed during the data preprocessing step. Since the range of values of raw data varies widely, in some machine
Feature_scaling
{\displaystyle s=n} . Let A [ 1 : n ] {\displaystyle A[1:n]} be an array. The preprocessing is done in three steps: Split the array A {\displaystyle A} in s {\displaystyle
Range_mode_query
Input to a C or C++ compiler from which an object file is generated
output of the C preprocessor – a source file after it has been preprocessed. Preprocessing notably consists of expanding a source file to recursively replace
Translation unit (programming)
Translation_unit_(programming)
Software that translates code from one programming language to another
Line Reconstruction phase. Preprocessing supports macro substitution and conditional compilation. Typically the preprocessing phase occurs before syntactic
Compiler
Development environment for neural networks and adaptive systems
Peltarion, Synapse allows data mining, statistical analysis, visualization, preprocessing, design and training of neural networks and adaptive systems and the
Peltarion_Synapse
Tree node with two other nodes as descendants
Tarjan, leading to an implementable structure with the same asymptotic preprocessing and query time bounds. Their simplification is based on the principle
Lowest_common_ancestor
Use of DNA methylation patterns to predict phenotypes
stored) are also collected. The raw DNA methylation data undergoes preprocessing steps to address technical variation and filter out noise or low-quality
Epiphenotyping
Measurement of algorithmic bias
applied to machine learning algorithms in three different ways: data preprocessing, optimization during software training, or post-processing results of
Fairness_(machine_learning)
Linear function of explanatory variables used to predict a dependent variable
In statistics and in machine learning, a linear predictor function is a linear function (linear combination) of a set of coefficients and explanatory variables
Linear_predictor_function
Type of machine learning model
A large language model (LLM) is an AI model (typically a neural network) trained on a vast amount of text for natural language processing tasks, especially
Large_language_model
General-purpose programming language
significant in C; however, line boundaries do have significance during the preprocessing phase. Comments may appear either between the delimiters /* and */,
C_(programming_language)
Renewable energy made from biomass
Bioenergy is a type of renewable energy that is derived from plants and animals. The biomass that is used as input materials consists of recently living
Bioenergy
Family of algorithms for sampling from discrete probability distributions
probability distribution pi. The algorithms typically use O(n log n) or O(n) preprocessing time, after which random values can be drawn from the distribution in
Alias_method
Grouping a set of objects by similarity
that involves trial and failure. It is often necessary to modify data preprocessing and model parameters until the result achieves the desired properties
Cluster_analysis
Algorithms for polynomial evaluation
{\displaystyle n} multiplications and n {\displaystyle n} additions. If some preprocessing is allowed, even more savings are possible. This problem arises frequently
Polynomial_evaluation
Algorithm for finding sub-text location(s) inside a given sentence in Big O(n) time
computing restriction. Booth's algorithm uses a modified version of the KMP preprocessing function to find the lexicographically minimal string rotation. The
Knuth–Morris–Pratt_algorithm
The Highly Connected Subgraphs (HCS) clustering algorithm (also known as the HCS algorithm, and other names such as Highly Connected Clusters/Components/Kernels)
HCS_clustering_algorithm
Algorithm for evaluating polynomials
result assumes only addition and multiplication are allowed during both preprocessing and evaluation.[better source needed] The Knuth–Eve algorithm is not
Knuth–Eve_algorithm
Genetic characteristic of tumorous tissue
Factors such as tumor cell content, tissue preprocessing, choice of sequencing technology, downstream bioinformatic pipelines, and TMB cutoffs can influence
Tumor_mutational_burden
Suite of machine learning software written in Java
modeling algorithms implemented in other programming languages, plus data preprocessing utilities in C, and a makefile-based system for running machine learning
Weka_(software)
In computing, blue paint refers to the mark given to preprocessing tokens by the C preprocessor that temporarily disables expansion of those tokens. A
Painted_blue
String-searching algorithm
needle isn't searched in multiple haystacks, which would amortize the preprocessing cost. Before we define critical factorization, we should define: A factorization
Two-way string-matching algorithm
Two-way_string-matching_algorithm
Voice conversion software
pipeline for retrieval-based voice conversion typically includes a preprocessing step where the target speaker's dataset is segmented and normalized
Retrieval-based Voice Conversion
Retrieval-based_Voice_Conversion
Engineering applied to artificial intelligence
real-time streams. This data undergoes cleaning, normalization, and preprocessing, often facilitated by automated data pipelines that manage extraction
Artificial intelligence engineering
Artificial_intelligence_engineering
theoretical computer science, the level ancestor problem is the problem of preprocessing a given rooted tree T into a data structure that can determine the ancestor
Level_ancestor_problem
Subfield of convex optimization
matrix must be 1. Facial reduction algorithms are algorithms used to preprocess SDPs problems by inspecting the constraints of the problem. These can
Semidefinite_programming
Algorithmic technique using hashing
corresponding to a different randomly chosen hash function g. In the preprocessing step we hash all n d-dimensional points from the data set S into each
Locality-sensitive_hashing
Food waste processing technique involving fermentation
bokashi in Japanese". RomajiDesu. "Effect of Microaerobic Fermentation in Preprocessing Fibrous Lignocellulosic Materials". Yamada, Kengo; Xu, Hui-lian (2000)
Bokashi_(horticulture)
Database of handwritten digits
percent, which is achieved using a simple linear classifier with no preprocessing. In 2004, a best-case error rate of 0.42 percent was achieved on the
MNIST_database
Ability of a computer to receive and interpret intelligible handwritten input
broken down into a few general steps: preprocessing, feature extraction and classification The purpose of preprocessing is to discard irrelevant information
Handwriting_recognition
Data transformation of statistics into rank
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Ranking_(statistics)
alone. Visual extinction has been involved in several studies regarding preprocessing of images in the brain. A study performed by Dr Vuilleumier examined
Visual_extinction
Task of finding records in a data set that refer to same entity across different sources
Record linkage (also known as data matching, data linkage, entity resolution, and many other terms) is the task of finding records in a data set that refer
Record_linkage
XORing that random key and the hashes of all the preprocessed blocks. The result of this preprocessing is called the pseudomessage, and it serves as the
All-or-nothing_transform
Extracting features from raw data for machine learning
Feature engineering is a preprocessing step in supervised machine learning and statistical modeling which transforms raw data into a more effective set
Feature_engineering
Statistical matching technique
Kosuke; King, Gary; Stuart, Elizabeth (2007). "Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference". Political
Propensity_score_matching
Reactive bonding is a wafer bonding procedure that uses highly reactive nanoscale multilayer systems as an intermediate layer between the bonding substrates
Reactive_bonding
Lossless data compression software
(padding) after each stream. The xz format improves on lzma by allowing for preprocessing filters (BCJ and delta). The exact filters used are similar to those
XZ_Utils
Text processor used with C and C++ and other programming tools
result into preprocessing tokens and whitespace. It replaces comments with whitespace. Macro expansion and directive handling: Preprocessing directive lines
C_preprocessor
Empirical law on the variance of species in a habitat
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Taylor's_law
Andrew McCallum, Kamal Nigam and Lyle Ungar in 2000. It is often used as preprocessing step for the K-means algorithm or the hierarchical clustering algorithm
Canopy_clustering_algorithm
Whether one vertex can be reached from another in a graph
determining reachability fall into two classes: those that require preprocessing and those that do not. If you have only one (or a few) queries to make
Reachability
Grass that has edible grain
A cereal is a grass (family Poaceae) cultivated for its edible grain. Cereals are the world's largest crops, and are therefore staple foods. They include
Cereal
Statistical technique
Correspondence analysis (CA) is a multivariate statistical technique proposed by Herman Otto Hartley (Hirschfeld) and later developed by Jean-Paul Benzécri
Correspondence_analysis
(2026-05-15). "MUNDUBILE SWITCHES POLITICAL PARTY, TO UNDERGO FRESH PREPROCESSING EXERCISE - The Zambian Observer". Retrieved 2026-05-16. Jere, Shadreck
2026_Zambian_general_election
Approach in data analysis
detection. Anomaly detection is vital in fintech for fraud prevention. Preprocessing data to remove anomalies can be an important step in data analysis,
Anomaly_detection
Statistical hypothesis test
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
F-test
to manage all aspects of functional connectivity analyses, including preprocessing of functional and anatomical volumes, elimination of subject-movement
CONN (functional connectivity toolbox)
CONN_(functional_connectivity_toolbox)
Range of mainframe computers in the 1960s and 70s
feature of DMALGOL is its preprocessing mechanisms to generate code for handling tables and indices. DMALGOL preprocessing includes variables and loops
Burroughs_Large_Systems
Non-parametric statistic used to estimate the survival function
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Kaplan–Meier_estimator
Class of statistical tests
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Normality_test
Software for finite element analysis
computational fluid dynamics capabilities with extensive support for preprocessing and postprocessing provided in Abaqus/CAE - discontinued in Abaqus 2017
Abaqus
Criterion for model selection
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Bayesian information criterion
Bayesian_information_criterion
Series of data compression archivers
The PAQ8HP series was forked from PAQ8H. The programs include text preprocessing dictionaries and models tuned specifically to the benchmark. All non-text
PAQ
Statistical sampling technique
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Latin_hypercube_sampling
Driver assistance system to recognize traffic signs
An example implementation of the image preprocessing steps in a traffic-sign detection algorithm
Traffic-sign_recognition
Data science software
allows assembly of nodes blending different data sources, including preprocessing (extract, transform, load, or ETL), for modeling, data analysis and
KNIME
Indian computer scientist
procedures for obtaining algorithmic lower bounds, and meta-theorems on preprocessing. Saket Saurabh was awarded the Shanti Swarup Bhatnagar Prize for Science
Saket_Saurabh
Diagnostic plot in multivariate statistics
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Scree_plot
Statistical hypothesis test for forecasting
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Granger_causality
Statistical method
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Regression discontinuity design
Regression_discontinuity_design
Geometric algorithms for signal processing
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Projection_filters
Gaussian-windowed wavelet
The adaptability of the Morlet wavelet provides a robust method of preprocessing the input signals, therefore ensuring that the system can effectively
Morlet_wavelet
Discontinued game engine
Playback of games and interactive 3D content without compiling or preprocessing. Audio, using the SDL toolkit. Multi-layering of scenes for overlay
Blender_Game_Engine
Method of plotting numeric data
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Violin_plot
Zambian political alliance
(2026-05-15). "MUNDUBILE SWITCHES POLITICAL PARTY, TO UNDERGO FRESH PREPROCESSING EXERCISE - The Zambian Observer". Retrieved 2026-05-16. Jere, Shadreck
Tonse_Alliance
Bias in causal inference
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Confounding
Statistical technique correcting sampling bias
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Heckman_correction
Statistic for rank correlation
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Goodman_and_Kruskal's_gamma
Type of statistics
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Summary_statistics
Set of guidelines for using statistical analysis
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
MAGIC_criteria
subtraction was introduced to support perceptual linear prediction (PLP) preprocessing. It uses bandpass filtering in the log spectral domain. Rasta filtering
Rasta_filtering
String searching algorithm
performance O ( m n ) {\displaystyle O(mn)} plus O ( m ) {\displaystyle O(m)} preprocessing time Average performance O ( n ) {\displaystyle O(n)} Worst-case space
Rabin–Karp_algorithm
Statistical methods to improve the quality of manufactured goods
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Taguchi_methods
Statistic of a given score
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Percentile_rank
Data compression approach allowing perfect reconstruction of the original data
data compression technologies (e.g. lossless mid/side joint stereo preprocessing by MP3 encoders and other lossy audio encoders). Lossless compression
Lossless_compression
Virtual window manager for X Window System
extending FVWM using Perl, scripting and preprocessing of configuration files. Can be extended via scripting. Preprocessing allows dynamic configurations. Toolkit
FVWM
Open source distributed database management system
machine learning training and inference functionality as well as data preprocessing and model quality estimation. It natively supports classical training
Apache_Ignite
Statistic which divides a data set into 100 parts and analyzes it as a percentage
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Percentile
Feature engineering Data pipeline Data warehouse Data lake MLOps Data preprocessing Big data "Feature Store for Machine Learning". Hopsworks. Retrieved
Feature_store
Type of numerical analysis
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Isotonic_regression
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
List of probability distributions
List_of_probability_distributions
Subset of artificial intelligence
also employs data mining methods as "unsupervised learning" or as a preprocessing step to improve learner accuracy. Much of the confusion between these
Machine_learning
Type of statistics
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Descriptive_statistics
Type of chart
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Radar_chart
Statistical model validation technique
dimensionality reduction, outlier removal or any other data-dependent preprocessing using the entire data set. While very common in practice, this has been
Cross-validation_(statistics)
Zambian politician (born 1979)
(15 May 2026). "MUNDUBILE SWITCHES POLITICAL PARTY, TO UNDERGO FRESH PREPROCESSING EXERCISE - The Zambian Observer". Retrieved 16 May 2026. Jere, Shadreck
Brian_Mundubile
Measure of variation in statistics
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Standard_deviation
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