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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… Expand
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Papers overview

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Review
2019
Review
2019
The k‐nearest neighbors algorithm is characterized as a simple yet effective data mining technique. The main drawback of this… Expand
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Highly Cited
2015
Highly Cited
2015
The success of machine learning in a broad range of applications has led to an ever-growing demand for machine learning systems… Expand
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Highly Cited
2012
Highly Cited
2012
Traditional methods of computer vision and machine learning cannot match human performance on tasks such as the recognition of… Expand
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Highly Cited
2004
Highly Cited
2004
During a project examining the use of machine learning techniques for oil spill detection, we encountered several essential… Expand
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Highly Cited
2004
Highly Cited
2004
The second edition of a highly praised, successful reference on data mining, with thorough coverage of big data applications… Expand
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Highly Cited
2002
Highly Cited
2002
We present a new, real-time method for rendering diffuse and glossy objects in low-frequency lighting environments that captures… Expand
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Highly Cited
2000
Highly Cited
2000
This is a new edition of a book on random data analysis which has been on the market since 1966 and which was extensively revised… Expand
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Highly Cited
2000
Highly Cited
2000
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the… Expand
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Highly Cited
1999
Highly Cited
1999
Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as… Expand
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Highly Cited
1997
Highly Cited
1997
Abstract In the feature subset selection problem, a learning algorithm is faced with the problem of selecting a relevant subset… Expand
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