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New Frontiers in Applied Data Mining

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Cover of 'New Frontiers in Applied Data Mining'

Table of Contents

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    Book Overview
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    Chapter 1 Flexible Framework for Time-Series Pattern Matching over Multi-dimension Data Stream
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    Chapter 2 An Adaptive Algorithm for Splitting Large Sets of Strings and Its Application to Efficient External Sorting
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    Chapter 3 Incrementally Mining Recently Repeating Patterns over Data Streams
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    Chapter 4 A Graph-Based Approach for Sentiment Sentence Extraction
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    Chapter 5 Fuzzy Weighted Association Rule Mining with Weighted Support and Confidence Framework
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    Chapter 6 A Framework for Mining Fuzzy Association Rules from Composite Items
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    Chapter 7 Mining Mutually Dependent Ordered Subtrees in Tree Databases
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    Chapter 8 A Tree Distance Function Based on Multi-sets
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    Chapter 9 Sibling Distance for Rooted Labeled Trees
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    Chapter 10 Kernel Functions Based on Derivation
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    Chapter 11 Dynamic Bayesian Networks for Acquisition Pattern Analysis: A Financial-Services Cross-Sell Application
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    Chapter 12 An Automata Based Authorship Identification System
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    Chapter 13 Detection of Risk Factors as Temporal Data Mining
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    Chapter 14 Two-Phased Active Support Kernel Machine Learning
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    Chapter 15 Extracting Topic Maps from Web Pages
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    Chapter 16 Interactive Abnormal Condition Sign Discovery for Hydroelectric Power Plants
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    Chapter 17 Interactive Visualization System for Decision Making Support in Online Shopping
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    Chapter 18 A Method to Recognize and Count Leaves on the Surface of a River Using User’s Knowledge about Color of Leaves
Attention for Chapter 12: An Automata Based Authorship Identification System
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Chapter title
An Automata Based Authorship Identification System
Chapter number 12
Book title
New Frontiers in Applied Data Mining
Published by
Springer, Berlin, Heidelberg, May 2008
DOI 10.1007/978-3-642-00399-8_12
Book ISBNs
978-3-64-200398-1, 978-3-64-200399-8
Authors

Tsau Young Lin, Shangxuan Zhang, Lin, Tsau Young, Zhang, Shangxuan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 20%
Unknown 4 80%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 40%
Student > Postgraduate 1 20%
Student > Doctoral Student 1 20%
Student > Master 1 20%
Readers by discipline Count As %
Computer Science 3 60%
Linguistics 1 20%
Unknown 1 20%