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Knowledge in Imperfect Data

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/0471687545openalex-snapshot

Discovering Knowledge in Data

inferredcites →https://doi.org/10.1002/9780470377888.ch4openalex-snapshot

Dimensionality Reduction

inferredcites →https://doi.org/10.1002/cem.1054openalex-snapshot

Raw data pre‐processing in the protozoa and metazoa identification by image analysis and multivariate statistical techniques

inferredcites →https://doi.org/10.1007/0-387-25465-x_5openalex-snapshot

Dimension Reduction and Feature Selection

inferredcites →https://doi.org/10.1007/0-387-25465-x_6openalex-snapshot

Discretization Methods

inferredcites →https://doi.org/10.1007/11731139_66openalex-snapshot

A Nonparametric Outlier Detection for Effectively Discovering Top-N Outliers from Engineering Data

inferredcites →https://doi.org/10.1007/11881599_81openalex-snapshot

Improvement of Decision Accuracy Using Discretization of Continuous Attributes

inferredcites →https://doi.org/10.1007/11893257_86openalex-snapshot

Dimensionality Reduction of Protein Mass Spectrometry Data Using Random Projection

inferredcites →https://doi.org/10.1007/978-0-387-09823-4_5openalex-snapshot

Dimension Reduction and Feature Selection

inferredcites →https://doi.org/10.1007/bf00121635openalex-snapshot

Collinearity detection in linear regression models

inferredcites →https://doi.org/10.1007/s10115-008-0142-6openalex-snapshot

Data discretization unification

inferredcites →https://doi.org/10.1007/s10462-008-9082-5openalex-snapshot

An evaluation of dimension reduction techniques for one-class classification

inferredcites →https://doi.org/10.1007/s10994-006-8364-xopenalex-snapshot

MODL: A Bayes optimal discretization method for continuous attributes

inferredcites →https://doi.org/10.1016/b978-0-12-373577-5.x5000-5openalex-snapshot

Data Preparation for Data Mining Using SAS

inferredcites →https://doi.org/10.1016/b978-0-7506-7796-7.x5020-xopenalex-snapshot

Data Mining and Predictive Analysis: Intelligence Gathering and Crime Analysis

inferredcites →https://doi.org/10.1016/c2009-0-19715-5openalex-snapshot

Data Mining: Practical Machine Learning Tools and Techniques

inferredcites →https://doi.org/10.1016/c2009-0-27872-xopenalex-snapshot

Introduction to Statistical Pattern Recognition

inferredcites →https://doi.org/10.1016/j.jmatprotec.2005.02.043openalex-snapshot

Modeling of manufacturing processes by learning systems: The naïve Bayesian classifier versus artificial neural networks

inferredcites →https://doi.org/10.1023/a:1016304305535openalex-snapshot

Discretization: An Enabling Technique

inferredcites →https://doi.org/10.1080/00031305.1996.10474371openalex-snapshot

A Graphical Display of Large Correlation Matrices

inferredcites →https://doi.org/10.1080/01621459.1990.10474920openalex-snapshot

Unmasking Multivariate Outliers and Leverage Points

inferredcites →https://doi.org/10.1093/bib/bbn011openalex-snapshot

Computational proteomics: management and analysis of proteomics data

inferredcites →https://doi.org/10.1093/bioinformatics/btm344openalex-snapshot

A review of feature selection techniques in bioinformatics

inferredcites →https://doi.org/10.1109/6104.956807openalex-snapshot

Feature transformation methods in data mining

inferredcites →https://doi.org/10.1109/depcos-relcomex.2006.38openalex-snapshot

Normalization as a Preprocessing Engine for Data Mining and the Approach of Preference Matrix

inferredcites →https://doi.org/10.1109/icmlc.2005.1527466openalex-snapshot

A global discretization method based on rough sets

inferredcites →https://doi.org/10.1109/icpr.2006.698openalex-snapshot

Improvement of Prediction Accuracy Using Discretization and Voting Classifier

inferredcites →https://doi.org/10.1109/ijcnn.2003.1223667openalex-snapshot

Integrated gene expression analysis of multiple microarray data sets based on a normalization technique and on adaptive connectionist model

inferredcites →https://doi.org/10.1109/tsmcb.2003.810911openalex-snapshot

Data dimensionality reduction with application to simplifying rbf network structure and improving classification performance

inferredcites →https://doi.org/10.1590/s0104-66322002000400018openalex-snapshot

Gross errors detection of industrial data by neural network and cluster techniques

inferredcites →https://doi.org/10.17713/ajs.v34i2.406openalex-snapshot

Identification of Multivariate Outliers: A Performance Study

inferredcites →https://doi.org/10.2307/2669967openalex-snapshot

Feature Extraction Construction and Selection: A Data Mining Perspective

inferredcites →https://doi.org/10.3168/jds.s0022-0302(02)74286-0openalex-snapshot

Statistical Data Validation Methods for Large Cheese Plant Database

inferredcites →https://doi.org/10.3844/jcssp.2006.735.739openalex-snapshot

Data Mining: A Preprocessing Engine

inferredcites →https://doi.org/10.4015/s1016237205000238openalex-snapshot

USING CORRELATION COEFFICIENT IN ECG WAVEFORM FOR ARRHYTHMIA DETECTION

inferredcites →https://doi.org/10.5772/37714openalex-snapshot

Knowledge in Imperfect Data

inferredcites →https://doi.org/10.5860/choice.49-3305openalex-snapshot

Data mining: concepts and techniques

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-030-03201-2_1openalex-snapshot

Data and Modeling in Industrial Manufacturing

inferred← citeshttps://doi.org/10.1007/978-3-319-20910-4_1openalex-snapshot

Improving the Predictive Power of Business Performance Measurement Systems by Constructed Data Quality Features? Five Cases

inferred← citeshttps://doi.org/10.1007/978-3-319-41561-1_32openalex-snapshot

Data Quality Visualization for Preprocessing

inferred← citeshttps://doi.org/10.1007/978-3-319-93587-4_7openalex-snapshot

Modeling of Foundry Processes in the Era of Industry 4.0

inferred← citeshttps://doi.org/10.1007/s43452-022-00598-zopenalex-snapshot

Selection of casting production parameters with the use of machine learning and data supplementation methods in order to obtain products with the assumed parameters

inferred← citeshttps://doi.org/10.1109/iceans58413.2023.10629670openalex-snapshot

High-Accurate Application-Layer DDoS Attack Detection Using Machine Learning

inferred← citeshttps://doi.org/10.1109/iceans58413.2023.10630487openalex-snapshot

Application-Layer DDoS Detection via Efficient Machine Learning and Feature Selection

inferred← citeshttps://doi.org/10.5772/2351openalex-snapshot

Advances in Knowledge Representation

inferred← citeshttps://doi.org/10.7494/cmms.2014.3.0490openalex-snapshot

Modeling of austempered ductile iron using discrete signals

inferred← citeshttps://doi.org/10.7494/cmms.2022.4.0791openalex-snapshot

Rule modeling of ADI cast iron structure for contradictory data

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