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New Frontiers in Applied Data Mining

Overview of attention for book
Cover of 'New Frontiers in Applied Data Mining'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    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
  19. Altmetric Badge
    Chapter 18 A Method to Recognize and Count Leaves on the Surface of a River Using User’s Knowledge about Color of Leaves
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

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Title
New Frontiers in Applied Data Mining
Published by
ADS, February 2009
DOI 10.1007/978-3-642-00399-8
ISBNs
978-3-64-200398-1, 978-3-64-200399-8
Editors

Chawla, Sanjay, Washio, Takashi, Minato, Shin-ichi, Tsumoto, Shusaku, Onoda, Takashi, Yamada, Seiji, Inokuchi, Akihiro

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 June 2019.
All research outputs
#7,041,349
of 23,041,514 outputs
Outputs from ADS
#8,731
of 37,451 outputs
Outputs of similar age
#47,053
of 171,401 outputs
Outputs of similar age from ADS
#280
of 908 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 37,451 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 75% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 171,401 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 908 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.