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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
Comparative Analysis of Data Mining Tools and Classification Techniques using WEKA in Medical Bioinformatics
The availability of huge amounts of data resulted in great need of data mining technique in order to generate useful knowledge… 
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… 
Highly Cited
2012
Highly Cited
2012
A wavelet‐based damage diagnosis algorithm using principal component analysis
The applicability of the Haar and Morlet wavelet transforms of the vibration signals for structural damage diagnosis was… 
2010
2010
Determination of Bloom's cognitive level of question items using artificial neural network
We propose a classification model for the cognitive level of question items in examinations based on Bloom's taxonomy. The model… 
2010
2010
Data Mining of Mass Storage Based on Cloud Computing
Cloud computing is an elastic computing model that the users can lease the resources from the rentable infrastructure. Cloud… 
Highly Cited
2005
Highly Cited
2005
Orthogonal locality preserving indexing
We consider the problem of document indexing and representation. Recently, Locality Preserving Indexing (LPI) was proposed for… 
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
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… 
Highly Cited
1976
Highly Cited
1976
The Automatic Recognition of Human Faces from Profile Silhouettes
A pattern recognition system is described which is capable of identifying human faces from their full profile silhouettes. Each… 
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