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Advances in Knowledge ­Discovery and Data Mining
20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part I (Lecture Notes in Artificial Intelligence) (Lecture Notes in Computer Science)
By James Bailey (Edited by), Latifur Khan (Edited by), Takashi Washio, Gill Dobbie (Edited by)

Rating
Format
Paperback, 608 pages
Published
Switzerland, 1 May 2016

This two-volume set, LNAI 9651 and 9652, constitutes the

thoroughly refereed proceedings of the 20th Pacific-Asia Conference on Advances

in Knowledge Discovery and Data Mining, PAKDD 2016, held in Auckland, New

Zealand, in April 2016.



The 91 full papers were carefully reviewed and

selected from 307 submissions. They are organized in topical sections named:

classification; machine learning; applications; novel methods and algorithms;

opinion mining and sentiment analysis; clustering; feature extraction and

pattern mining; graph and network data; spatiotemporal and image data; anomaly

detection and clustering; novel models and algorithms; and text mining and

recommender systems.


Classification.- Machine learning.- Applications.- Novel methods and algorithms.- Opinion mining and sentiment analysis.- Clustering.- Feature extraction and pattern mining.- Graph and network data.- Spatiotemporal and image data.- Anomaly detection and clustering.- Novel models and algorithms.- Text mining and recommender systems.

Show more

Our Price
$178
Ships from UK Estimated delivery date: 30th Apr - 7th May from UK
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Product Description

This two-volume set, LNAI 9651 and 9652, constitutes the

thoroughly refereed proceedings of the 20th Pacific-Asia Conference on Advances

in Knowledge Discovery and Data Mining, PAKDD 2016, held in Auckland, New

Zealand, in April 2016.



The 91 full papers were carefully reviewed and

selected from 307 submissions. They are organized in topical sections named:

classification; machine learning; applications; novel methods and algorithms;

opinion mining and sentiment analysis; clustering; feature extraction and

pattern mining; graph and network data; spatiotemporal and image data; anomaly

detection and clustering; novel models and algorithms; and text mining and

recommender systems.


Classification.- Machine learning.- Applications.- Novel methods and algorithms.- Opinion mining and sentiment analysis.- Clustering.- Feature extraction and pattern mining.- Graph and network data.- Spatiotemporal and image data.- Anomaly detection and clustering.- Novel models and algorithms.- Text mining and recommender systems.

Show more
Product Details
EAN
9783319317526
ISBN
3319317520
Publisher
Other Information
Illustrated
Dimensions
23.4 x 15.6 x 3.3 centimeters (9.42 kg)

Table of Contents

Classification.- Machine learning.- Applications.- Novel methods and algorithms.- Opinion mining and sentiment analysis.- Clustering.- Feature extraction and pattern mining.- Graph and network data.- Spatiotemporal and image data.- Anomaly detection and clustering.- Novel models and algorithms.- Text mining and recommender systems.

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