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Advances in Data Mining. Applications and Theoretical Aspects

Overview of attention for book
Cover of 'Advances in Data Mining. Applications and Theoretical Aspects'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Incorporating Positional Information into Deep Belief Networks for Sentiment Classification
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    Chapter 2 Tracking Multiple Social Media for Stock Market Event Prediction
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    Chapter 3 Ensemble Sales Forecasting Study in Semiconductor Industry
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    Chapter 4 Towards an Efficient Method of Modeling “Next Best Action” for Digital Buyer’s Journey in B2B
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    Chapter 5 Association Rule-based Classifier Using Artificial Missing Values
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    Chapter 6 Mining Location-Based Service Data for Feature Construction in Retail Store Recommendation
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    Chapter 7 Constraint-Based Clustering Algorithm for Multi-density Data and Arbitrary Shapes
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    Chapter 8 Towards a Large Scale Practical Churn Model for Prepaid Mobile Markets
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    Chapter 9 Smart Stores: A Scalable Foot Traffic Collection and Prediction System
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    Chapter 10 Multivariate Time Series Representation and Similarity Search Using PCA
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    Chapter 11 Message Passing on Factor Graph: A Novel Approach for Orphan Drug Physician Targeting
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    Chapter 12 Fast GPU-Based Influence Maximization Within Finite Deadlines via Node-Level Parallelism
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    Chapter 13 Visual Scenes Mining for Agent Awareness Module
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    Chapter 14 Predicting Hospital Re-Admissions from Nursing Care Data of Hospitalized Patients
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    Chapter 15 Activity Prediction in Process Management Using the WoMan Framework
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    Chapter 16 Hierarchical Text Classification of Autopsy Reports to Determine MoD and CoD Through Term-Based and Concepts-Based Features
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    Chapter 17 Collaborative Filtering Fusing Label Features Based on SDAE
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    Chapter 18 Interestingness Classification of Association Rules for Master Data
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    Chapter 19 MapReduce and Spark-Based Analytic Framework Using Social Media Data for Earlier Flu Outbreak Detection
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    Chapter 20 An Integrated Approach Using Data Mining and System Dynamics to Policy Design: Effects of Electric Vehicle Adoption on CO2 Emissions in Singapore
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    Chapter 21 Using the Results of Capstone Analysis to Predict a Weather Outcome
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    Chapter 22 Classification of Network Traffic Using Fuzzy Clustering for Network Security
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    Chapter 23 Machine Learning and Pattern Recognition Techniques for Information Extraction to Improve Production Control and Design Decisions
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    Chapter 24 Real-Time Prediction of Styrene Production Volume Based on Machine Learning Algorithms
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    Chapter 25 A Graph-Based Ranking Model for Automatic Keyphrases Extraction from Arabic Documents
  27. Altmetric Badge
    Chapter 26 Mining Frequent Subgraph Pattern Over a Collection of Attributed-Graphs and Construction of a Relation Hierarchy for Result Reporting
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 (68th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
16 Mendeley
Summary X Patents Dimensions citations
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Advances in Data Mining. Applications and Theoretical Aspects
Published by
Lecture notes in computer science, January 2017
DOI 10.1007/978-3-319-62701-4
ISBNs
978-3-31-962700-7, 978-3-31-962701-4
Editors

Petra Perner

View on publisher site
X Demographics

X Demographics

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.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 19%
Student > Bachelor 2 13%
Librarian 1 6%
Lecturer 1 6%
Student > Doctoral Student 1 6%
Other 2 13%
Unknown 6 38%
Readers by discipline Count As %
Computer Science 5 31%
Nursing and Health Professions 1 6%
Economics, Econometrics and Finance 1 6%
Social Sciences 1 6%
Unknown 8 50%
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 31 January 2023.
All research outputs
#7,110,337
of 23,248,929 outputs
Outputs from Lecture notes in computer science
#2,296
of 8,158 outputs
Outputs of similar age
#131,435
of 422,256 outputs
Outputs of similar age from Lecture notes in computer science
#65
of 150 outputs
Altmetric has tracked 23,248,929 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 8,158 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 70% 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 422,256 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 68% of its contemporaries.
We're also able to compare this research output to 150 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 55% of its contemporaries.

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