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Ross Quinlan

Known as: Quinlan 
John Ross Quinlan is a computer science researcher in data mining and decision theory. He has contributed extensively to the development of decision… Expand
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Papers overview

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Highly Cited
2011
Highly Cited
2011
Windows Azure Storage (WAS) is a cloud storage system that provides customers the ability to store seemingly limitless amounts of… Expand
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Highly Cited
2000
Highly Cited
2000
Abstract Recently, significant attention has been focused on customer satisfaction. However, few studies link satisfaction with… Expand
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Highly Cited
2000
Highly Cited
2000
A bearing liner for attachment to a substrate comprising a wear resistant layer and a compliant layer interposable between the… Expand
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Highly Cited
1998
Highly Cited
1998
We describe several improvements to Freund and Schapire‘s AdaBoost boosting algorithm, particularly in a setting in which… Expand
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Highly Cited
1998
Highly Cited
1998
We describe several improvements to Freund and Schapire's AdaBoost boosting algorithm, particularly in a setting in which… Expand
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Highly Cited
1995
Highly Cited
1995
From the Publisher: Artificial "neural networks" are now widely used as flexible models for regression classification… Expand
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Highly Cited
1995
Highly Cited
1995
Abstract Many existing rule learning systems are computationally expensive on large noisy datasets. In this paper we evaluate the… Expand
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Highly Cited
1993
Highly Cited
1993
Elastic bands are proposed as the basis for a framework to close the gap between global path planning and real-time sensor-based… Expand
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Highly Cited
1991
Highly Cited
1991
The CN2 algorithm induces an ordered list of classification rules from examples using entropy as its search heuristic. In this… Expand
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Highly Cited
1989
Highly Cited
1989
  • P. Utgoff
  • Machine Learning
  • 1989
  • Corpus ID: 5293072
This article presents an incremental algorithm for inducing decision trees equivalent to those formed by Quinlan's nonincremental… Expand
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