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Yun Sing Koh

Yun Sing KohYun Sing Koh is currently a senior lecturer at the Department of Computer Science, University of Auckland. After completing a Bachelor's degree in Computer Science and Masters in Software Engineering at University Malaya, she went on to do her PhD inComputer Science at University of Otago, New Zealand. Her current research interests include data mining, machine learning, and information retrieval. Most of her current research revolves around finding rare patterns/rules within datasets and data stream mining. She has also developed a keen interest in several other areas including particle swarm optimization, social network mining, and online auction fraud detection. Read More Read Less

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1.
AI 2024: Advances in Artificial Intelligence37 %
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₹8,102
₹5,104
Binding:
Paperback
Release:
24 Nov 2024
Language:
English
Available
Ships within 22-24 Days Explain..
2.
AI 2024: Advances in Artificial Intelligence37 %
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₹7,226
₹4,552
Binding:
Paperback
Release:
24 Nov 2024
Language:
English
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3.
Data Science and Machine Learning37 %
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₹8,212
₹5,174
Binding:
Paperback
Release:
05 Dec 2023
Language:
English
Available
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4.
Data Mining37 %
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₹8,212
₹5,174
Binding:
Paperback
Release:
06 Dec 2022
Language:
English
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5.
Rare Association Rule Mining and Knowledge Discovery
Publisher: IGI Global
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₹4,749
Binding:
Hardback
Release:
31 Aug 2009
Language:
English
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7.
Biologically-Inspired Techniques for Knowledge Discovery and Data Mining
Publisher: IGI Global
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₹21,354
Binding:
Digital download and online
Release:
31 May 2014
Language:
English
Out of Stock
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8.
Biologically-Inspired Techniques for Knowledge Discovery and Data Mining
Publisher: IGI Global
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₹21,354
Binding:
Digital download and online
Release:
31 May 2014
Language:
English
Out of Stock
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9.
Rare Association Rule Mining and Knowledge Discovery: Technologies for Infrequent and Critical Event Detection
Publisher: IGI Global
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₹14,545
Binding:
Digital download and online
Release:
31 Aug 2009
Language:
English
Out of Stock
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10.
Rare Association Rule Mining and Knowledge Discovery: Technologies for Infrequent and Critical Event Detection
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11.
Biologically-Inspired Techniques for Knowledge Discovery and Data Mining
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