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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
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
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
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
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
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
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
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
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
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
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)
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)
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
String-searching algorithm
copies of a "needle" of length m in a "haystack" of length n. After preprocessing the needle in time O(m), the actual search takes time O(n) linear in
Two-way string-matching algorithm
Two-way_string-matching_algorithm
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)
Type of machine learning model
A large language model (LLM) is a machine learning model (typically a neural network) trained on a vast amount of text for natural language processing
Large_language_model
Renewable energy made from biomass
Bioenergy is the renewable energy obtained by using biomass as fuel. The fuel may be wood or crops grown for energy, or it may come from harvest residues
Bioenergy
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
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
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
Extracting features from raw data for machine learning
machine learning and statistical modeling, feature engineering is a preprocessing step which transforms raw data into a more effective set of inputs.
Feature_engineering
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
Brewed beverage
Kopi luwak, coffee berries that have been preprocessed by passing through the Asian palm civet's digestive tract
Coffee
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
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
Unit of information
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Data
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
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
of O(n2) for constant query time if s=n. Let A[1:n] be an array. The preprocessing is done in three steps: Split the array A in s blocks b1,b2,...,bs,
Range_mode_query
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
AI Foundation model for tabular data
from each column's empirical distribution function. It dropped earlier preprocessing steps such as quantile transformations, robust scaling and singular
TabPFN
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
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
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
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
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
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
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
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
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
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
Measure of the shape of a probability distribution function
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Moment_(statistics)
American company
Group (EDG) is an American company that makes compiler front ends (preprocessing and parsing) for C++ and formerly Java and Fortran. Their front ends
Edison_Design_Group
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)
Swedish-american Biostatistician
mediation analysis in neuroimaging, and methodological work on reliability, preprocessing, and biomarkers in brain imaging. Lindquist was born in Stockholm, Sweden
Martin_A._Lindquist
Psychophysiology manual
Mixed Signals: Preprocessing Psychophysiological Data in Brain Vision Analyzer is a psychophysiology manual for experimental psychologists. Originally
Mixed Signals: Preprocessing Psychophysiological Data in Brain Vision Analyzer
Mixed_Signals:_Preprocessing_Psychophysiological_Data_in_Brain_Vision_Analyzer
Measure of variation in statistics
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Standard_deviation
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
Driver assistance system to recognize traffic signs
An example implementation of the image preprocessing steps in a traffic-sign detection algorithm
Traffic-sign_recognition
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
Cryptographic primitive
Charalampos (May 2018). "VRAM: Faster Verifiable RAM with Program-Independent Preprocessing". 2018 IEEE Symposium on Security and Privacy (SP). pp. 908–925. doi:10
Non-interactive zero-knowledge proof
Non-interactive_zero-knowledge_proof
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
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
List of probability distributions
List_of_probability_distributions
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)
Examination of the heart's electrical activity
arrhythmias or transient cardiac events. Common methods Steps Step 1: Preprocessing Signal Denoising: Use wavelet denoising, band-pass filtering (0.5–50
Electrocardiography
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
Subfield of control engineering
samples. During the past decades, there are different classification and preprocessing models that have been developed and proposed in this research area.
Fault_detection_and_isolation
Data transformation of statistics into rank
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Ranking_(statistics)
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
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
Class of statistical tests
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Normality_test
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
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
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
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
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
Geometric algorithms for signal processing
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Projection_filters
Free software library
Model-based FMRI analysis with straightforward but powerful GUI: data preprocessing (including slice timing correction, MCFLIRT motion correction and PRELUDE+FUGUE
FMRIB_Software_Library
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
Statistical hypothesis test
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
F-test
Statistical sampling technique
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Latin_hypercube_sampling
Relative timing of audio and video
after the video undergoes frame synchronization, format conversion and preprocessing, and thus the lip sync errors created by these operations will not be
Audio-to-video synchronization
Audio-to-video_synchronization
Statistical method
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Regression discontinuity design
Regression_discontinuity_design
Set of guidelines for using statistical analysis
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
MAGIC_criteria
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
Data missing or collected but not analysed
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Dark_data
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
Numerical measure of a statistical relationship between variables
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Correlation_coefficient
Data science software
allows assembly of nodes blending different data sources, including preprocessing (extract, transform, load, or ETL), for modeling, data analysis and
KNIME
Dataset name Brief description Preprocessing Instances Format Default task Created (updated) Reference Creator Netflix Prize Movie ratings on Netflix
List of datasets for machine-learning research
List_of_datasets_for_machine-learning_research
Scientific procedure performed to validate a hypothesis
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Experiment
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
image has generated using bwmorph(Matlab) without preprocessing. The rightmost image, was preprocessed using Automatic Thresholding to increase contrast
Morphological_skeleton
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)
Statistic of a given score
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Percentile_rank
Machine learning model for speech
X→English translation data, where X stands for any non-English language. Preprocessing involved standardization of transcripts, filtering to remove machine-generated
Whisper (speech recognition system)
Whisper_(speech_recognition_system)
Decision tree algorithm
for locally optimal entropy values. Its accuracy can be improved by preprocessing the data. Information gain I G ( A ) {\displaystyle IG(A)} is the measure
ID3_algorithm
Statistical hypothesis test for forecasting
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Granger_causality
Diagnostic plot in multivariate statistics
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Scree_plot
Statistical technique correcting sampling bias
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Heckman_correction
Human-readable instructions for a computer
files in a high-level programming language must go through a stage of preprocessing into machine code before the instructions can be carried out. After
Source_code
Concepts from statistical hypothesis testing
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Type_I_and_type_II_errors
Political party in Zambia
2022. Retrieved 2 May 2026. "Mundubile switches party, faces fresh ECZ preprocessing hurdle". Zambian Eye. 15 May 2026. Retrieved 17 August 2026. Daka, Precious
Citizens_First
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
Test used in statistics
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
F-test of equality of variances
F-test_of_equality_of_variances
genome assembly. SOAPnuke is a tool for integrated quality control and preprocessing of datasets from genomic, small RNA, Digital Gene Expression, and metagenomic
Short Oligonucleotide Analysis Package
Short_Oligonucleotide_Analysis_Package
Study of high-dimensional data
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
High-dimensional_statistics
reduction Principal component analysis Factor analysis Time-series preprocessing Differencing Detrending Seasonal adjustment Stationarity transformation
Probability_of_superiority
travel, tourism, insurance
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travel, tourism, insurance