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Data Mining

Overview of attention for book
Cover of 'Data Mining'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Similarity Majority Under-Sampling Technique for Easing Imbalanced Classification Problem
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    Chapter 2 Rank Forest: Systematic Attribute Sub-spacing in Decision Forest
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    Chapter 3 Performance Evaluation of a Distributed Clustering Approach for Spatial Datasets
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    Chapter 4 Patched Completed Local Binary Pattern is an Effective Method for Neuroblastoma Histological Image Classification
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    Chapter 5 An Improved Naive Bayes Classifier-Based Noise Detection Technique for Classifying User Phone Call Behavior
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    Chapter 6 A Two-Sample Kolmogorov-Smirnov-Like Test for Big Data
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    Chapter 7 Exploiting Redundancy, Recurrency and Parallelism: How to Link Millions of Addresses with Ten Lines of Code in Ten Minutes
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    Chapter 8 SD-HOC: Seasonal Decomposition Algorithm for Mining Lagged Time Series
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    Chapter 9 An Incremental Anytime Algorithm for Mining T-Patterns from Event Streams
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    Chapter 10 Detection of Outlier Behaviour Amongst Health/Medical Providers Servicing TAC Clients
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    Chapter 11 Distributed Detection of Zero-Day Network Traffic Flows
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    Chapter 12 False Data Injection Attacks in Healthcare
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    Chapter 13 Identifying Precursors to Frequency Fluctuation Events in Electrical Power Generation Data
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    Chapter 14 Collaborative Filtering in an Offline Setting Case Study: Indonesia Retail Business
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    Chapter 15 Malicious Behaviour Analysis on Twitter Through the Lens of User Interest
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    Chapter 16 Meta-Heuristic Multi-objective Community Detection Based on Users’ Attributes
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    Chapter 17 A Semi-supervised Hidden Markov Topic Model Based on Prior Knowledge
Attention for Chapter 8: SD-HOC: Seasonal Decomposition Algorithm for Mining Lagged Time Series
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)

Mentioned by

wikipedia
3 Wikipedia pages

Readers on

mendeley
7 Mendeley
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Chapter title
SD-HOC: Seasonal Decomposition Algorithm for Mining Lagged Time Series
Chapter number 8
Book title
Data Mining
Published in
Communications in Computer and Information Science, April 2018
DOI 10.1007/978-981-13-0292-3_8
Book ISBNs
978-9-81-130291-6, 978-9-81-130292-3
Authors

Irvan B. Arief-Ang, Flora D. Salim, Margaret Hamilton, Arief-Ang, Irvan B., Salim, Flora D., Hamilton, Margaret

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 43%
Student > Doctoral Student 1 14%
Lecturer > Senior Lecturer 1 14%
Student > Bachelor 1 14%
Student > Master 1 14%
Other 0 0%
Readers by discipline Count As %
Engineering 4 57%
Computer Science 3 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 02 February 2022.
All research outputs
#8,785,110
of 25,992,468 outputs
Outputs from Communications in Computer and Information Science
#1
of 1 outputs
Outputs of similar age
#139,791
of 344,848 outputs
Outputs of similar age from Communications in Computer and Information Science
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 3.0. This one scored the same or higher as 0 of them.
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 344,848 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 51% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them