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Data pre-processing

Known as: Data preprocessing 
Data pre-processing is an important step in the data mining process. The phrase "garbage in, garbage out" is particularly applicable to data mining… 
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Related topics

Related topics

6 relations
Data miningData qualityFeature extractionFeature selection

Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2013
Highly Cited
2013
Census Data Mining and Data Analysis using WEKA
Data mining (also known as knowledge discovery from databases) is the process of extraction of hidden, previously unknown and… 
2013
2013
K-Means for Parallel Architectures Using All-Prefix-Sum Sorting and Updating Steps
We present an implementation of parallel K-means clustering, called Kps-means, that achieves high performance with near-full… 
2011
2011
Methods and automatic procedures for processing images based on blind evaluation of noise type and characteristics
In many modern applications, methods and algorithms used for image processing require a priori knowledge or estimates of noise… 
Highly Cited
2005
Highly Cited
2005
Categorization Rehab Duwairi Department of Computer Information Systems , Jordan University of Science and Technology , Jordan
In this paper, we compare the performance of three classifiers for Arabic text categorization. In particular, the naïve Bayes, k… 
Highly Cited
2004
Highly Cited
2004
Iris recognition using histogram analysis
Iris recognition is perhaps the most accurate means of personnel identification due to the uniqueness of the patterns contained… 
Highly Cited
2001
Highly Cited
2001
Music Database Retrieval Based on Spectral Similarity
We present an efficient algorithm to retrieve similar music pieces from an audio database. The algorithm tries to capture the… 
Highly Cited
1999
Highly Cited
1999
RoboLog Koblenz: Spatial Agents Implemented in a Logical Expressible Language
In this paper, we present a multi-layered architecture for spatial and temporal agents. The focus is laid on the declarativity of… 
Highly Cited
1996
Highly Cited
1996
Embedding Technical Analysis Into Neural Network Based Trading Systems
We have recently proposed a promising trading system for the S P 500 index which consists of a feature selection component and a… 
Highly Cited
1989
Highly Cited
1989
Object recognition based on graph matching implemented by a Hopfield-style neural network
A model-based object recognition technique is presented. For each model, distinct features such as curvature points are extracted… 
1983
1983
Low-Order Approximation of Transmission Line Parameters for Frequency-Dependent Models
Frequency-dependent line models are considerably more accurate than constant-parameters models. However, constant-parameters… 
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