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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 mining
Data quality
Feature extraction
Feature selection
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Broader (1)
Machine learning
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2014
Highly Cited
2014
An evaluation of feature extraction in EEG-based emotion prediction with support vector machines
Itsara Wichakam
,
P. Vateekul
International Joint Conference on Computer…
2014
Corpus ID: 11921485
Electroencephalograph (EEG) data is a recording of brain electrical activities, which is commonly used in emotion prediction. To…
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Highly Cited
2013
Highly Cited
2013
Comparative Analysis of Data Mining Tools and Classification Techniques using WEKA in Medical Bioinformatics
S. K. David
,
Khalid Al Rubeaan
2013
Corpus ID: 2812586
The availability of huge amounts of data resulted in great need of data mining technique in order to generate useful knowledge…
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Highly Cited
2013
Highly Cited
2013
Census Data Mining and Data Analysis using WEKA
S. Jagtap
,
S. Vivekanand
arXiv.org
2013
Corpus ID: 15324286
Data mining (also known as knowledge discovery from databases) is the process of extraction of hidden, previously unknown and…
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2010
2010
Determination of Bloom's cognitive level of question items using artificial neural network
N. Yusof
,
C. Hui
International Conference on Intelligent Systems…
2010
Corpus ID: 14279719
We propose a classification model for the cognitive level of question items in examinations based on Bloom's taxonomy. The model…
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2010
2010
Soft computing in intrusion detection: the state of the art
Chet Langin
,
S. Rahimi
Journal of Ambient Intelligence and Humanized…
2010
Corpus ID: 9325370
The state of the art is explored in using soft computing (SC) methods for network intrusion detection, including the examination…
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Highly Cited
2004
Highly Cited
2004
Iris recognition using histogram analysis
Robert W. Ives
,
Anthony J. Guidry
,
Delores M. Etter
Conference Record of the Thirty-Eighth Asilomar…
2004
Corpus ID: 46696824
Iris recognition is perhaps the most accurate means of personnel identification due to the uniqueness of the patterns contained…
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Highly Cited
2001
Highly Cited
2001
Music Database Retrieval Based on Spectral Similarity
Cheng Yang
2001
Corpus ID: 1957130
We present an efficient algorithm to retrieve similar music pieces from an audio database. The algorithm tries to capture the…
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Highly Cited
1999
Highly Cited
1999
RoboLog Koblenz: Spatial Agents Implemented in a Logical Expressible Language
Frieder Stolzenburg
,
Oliver Obst
,
Jan Murray
,
B. Bremer
1999
Corpus ID: 8133630
In this paper, we present a multi-layered architecture for spatial and temporal agents. The focus is laid on the declarativity of…
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1983
1983
Low-Order Approximation of Transmission Line Parameters for Frequency-Dependent Models
L. Marti
IEEE Transactions on Power Apparatus and Systems
1983
Corpus ID: 47562781
Frequency-dependent line models are considerably more accurate than constant-parameters models. However, constant-parameters…
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Highly Cited
1976
Highly Cited
1976
The Automatic Recognition of Human Faces from Profile Silhouettes
Gerald J. Kaufman
,
K. J. Breeding
IEEE Transactions on Systems, Man and Cybernetics
1976
Corpus ID: 22606575
A pattern recognition system is described which is capable of identifying human faces from their full profile silhouettes. Each…
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