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Frequent Pattern Mining

Overview of attention for book
Cover of 'Frequent Pattern Mining'

Table of Contents

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    Book Overview
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    Chapter 1 An Introduction to Frequent Pattern Mining
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    Chapter 2 Frequent Pattern Mining Algorithms: A Survey
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    Chapter 3 Pattern-Growth Methods
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    Chapter 4 Mining Long Patterns
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    Chapter 5 Interesting Patterns
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    Chapter 6 Negative Association Rules
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    Chapter 7 Constraint-Based Pattern Mining
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    Chapter 8 Mining and Using Sets of Patterns through Compression
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    Chapter 9 Frequent Pattern Mining in Data Streams
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    Chapter 10 Big Data Frequent Pattern Mining
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    Chapter 11 Sequential Pattern Mining
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    Chapter 12 Spatiotemporal Pattern Mining: Algorithms and Applications
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    Chapter 13 Mining Graph Patterns
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    Chapter 14 Uncertain Frequent Pattern Mining
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    Chapter 15 Privacy Issues in Association Rule Mining
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    Chapter 16 Frequent Pattern Mining Algorithms for Data Clustering
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    Chapter 17 Supervised Pattern Mining and Applications to Classification
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    Chapter 18 Applications of Frequent Pattern Mining
Attention for Chapter 3: Pattern-Growth Methods
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Citations

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Chapter title
Pattern-Growth Methods
Chapter number 3
Book title
Frequent Pattern Mining
Published by
Springer International Publishing, August 2014
DOI 10.1007/978-3-319-07821-2_3
Book ISBNs
978-3-31-907820-5, 978-3-31-907821-2
Authors

Jiawei Han, Jian Pei

Editors

Charu C. Aggarwal, Jiawei Han

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 67%
Professor > Associate Professor 1 33%
Readers by discipline Count As %
Computer Science 3 100%

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