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Advanced Data Mining and Applications

Overview of attention for book
Cover of 'Advanced Data Mining and Applications'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Querying and Mining Strings Made Easy
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    Chapter 2 Distributed Training Large-Scale Deep Architectures
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    Chapter 3 Fault Detection and Localization in Distributed Systems Using Recurrent Convolutional Neural Networks
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    Chapter 4 Discovering Group Skylines with Constraints by Early Candidate Pruning
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    Chapter 5 Comparing MapReduce-Based k-NN Similarity Joins on Hadoop for High-Dimensional Data
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    Chapter 6 A Higher-Fidelity Frugal Quantile Estimator
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    Chapter 7 Fair Recommendations Through Diversity Promotion
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    Chapter 8 A Hierarchical Bayesian Factorization Model for Implicit and Explicit Feedback Data
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    Chapter 9 Empirical Analysis of Factors Influencing Twitter Hashtag Recommendation on Detected Communities
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    Chapter 10 Group Recommender Model Based on Preference Interaction
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    Chapter 11 Identification of Grey Sheep Users by Histogram Intersection in Recommender Systems
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    Chapter 12 A Feature-Based Approach for the Redefined Link Prediction Problem in Signed Networks
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    Chapter 13 From Mutual Friends to Overlapping Community Detection: A Non-negative Matrix Factorization Approach
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    Chapter 14 Calling for Response: Automatically Distinguishing Situation-Aware Tweets During Crises
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    Chapter 15 Efficient Revenue Maximization for Viral Marketing in Social Networks
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    Chapter 16 Generating Life Course Trajectory Sequences with Recurrent Neural Networks and Application to Early Detection of Social Disadvantage
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    Chapter 17 FRISK: A Multilingual Approach to Find twitteR InterestS via wiKipedia
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    Chapter 18 A Solution to Tweet-Based User Identification Across Online Social Networks
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    Chapter 19 Supervised Feature Selection Algorithm Based on Low-Rank and Manifold Learning
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    Chapter 20 Mixed Membership Sparse Gaussian Conditional Random Fields
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    Chapter 21 Effects of Dynamic Subspacing in Random Forest
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    Chapter 22 Diversity and Locality in Multi-Component, Multi-Layer Predictive Systems: A Mutual Information Based Approach
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    Chapter 23 Hybrid Subspace Mixture Models for Prediction and Anomaly Detection in High Dimensions
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    Chapter 24 StruClus: Scalable Structural Graph Set Clustering with Representative Sampling
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    Chapter 25 Employing Hierarchical Clustering and Reinforcement Learning for Attribute-Based Zero-Shot Classification
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    Chapter 26 Environmental Sound Recognition Using Masked Conditional Neural Networks
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    Chapter 27 Analyzing Performance of Classification Techniques in Detecting Epileptic Seizure
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    Chapter 28 A Framework for Clustering and Dynamic Maintenance of XML Documents
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    Chapter 29 Language-Independent Twitter Classification Using Character-Based Convolutional Networks
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    Chapter 30 Modeling Check-In Behavior with Geographical Neighborhood Influence of Venues
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    Chapter 31 An Empirical Study on Collective Online Behaviors of Extremist Supporters
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    Chapter 32 Your Moves, Your Device: Establishing Behavior Profiles Using Tensors
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    Chapter 33 An Approach for Identifying Author Profiles of Blogs
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    Chapter 34 Generating Topics of Interests for Research Communities
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    Chapter 35 An Evolutionary Approach for Learning Conditional Preference Networks from Inconsistent Examples
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    Chapter 36 Predicting Clinical Outcomes of Alzheimer’s Disease from Complex Brain Networks
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    Chapter 37 Doctoral Advisor or Medical Condition: Towards Entity-Specific Rankings of Knowledge Base Properties
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    Chapter 38 Multiclass Lung Cancer Diagnosis by Gene Expression Programming and Microarray Datasets
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    Chapter 39 Drug-Drug Interaction Extraction via Recurrent Neural Network with Multiple Attention Layers
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    Chapter 40 People-Centric Mobile Crowdsensing Platform for Urban Design
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    Chapter 41 Long-Term User Location Prediction Using Deep Learning and Periodic Pattern Mining
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    Chapter 42 An Intelligent Weighted Fuzzy Time Series Model Based on a Sine-Cosine Adaptive Human Learning Optimization Algorithm and Its Application to Financial Markets Forecasting
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    Chapter 43 Mobile Robot Scheduling with Multiple Trips and Time Windows
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    Chapter 44 Feature Analysis for Duplicate Detection in Programming QA Communities
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    Chapter 45 A Joint Human/Machine Process for Coding Events and Conflict Drivers
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    Chapter 46 Quality Prediction of Newly Proposed Questions in CQA by Leveraging Weakly Supervised Learning
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    Chapter 47 Improving Chinese Sentiment Analysis via Segmentation-Based Representation Using Parallel CNN
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    Chapter 48 Entity Recognition by Distant Supervision with Soft List Constraint
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    Chapter 49 Structured Sentiment Analysis
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    Chapter 50 Improving Real-Time Bidding Using a Constrained Markov Decision Process
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    Chapter 51 PowerLSTM: Power Demand Forecasting Using Long Short-Term Memory Neural Network
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    Chapter 52 Identifying Unreliable Sensors Without a Knowledge of the Ground Truth in Deceptive Environments
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    Chapter 53 Color-Sketch Simulator: A Guide for Color-Based Visual Known-Item Search
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    Chapter 54 Making Use of External Company Data to Improve the Classification of Bank Transactions
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    Chapter 55 Mining Load Profile Patterns for Australian Electricity Consumers
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    Chapter 56 STA: A Spatio-Temporal Thematic Analytics Framework for Urban Ground Sensing
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    Chapter 57 Privacy and Utility Preservation for Location Data Using Stay Region Analysis
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    Chapter 58 Location-Aware Human Activity Recognition
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    Chapter 59 SWYSWYK: A New Sharing Paradigm for the Personal Cloud
  61. Altmetric Badge
    Chapter 60 Tools and Infrastructure for Supporting Enterprise Knowledge Graphs
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    Chapter 61 An Interactive Web-Based Toolset for Knowledge Discovery from Short Text Log Data
  63. Altmetric Badge
    Chapter 62 Carbon: Forecasting Civil Unrest Events by Monitoring News and Social Media
  64. Altmetric Badge
    Chapter 63 A System for Querying and Analyzing Urban Regions
  65. Altmetric Badge
    Chapter 64 Detect Tracking Behavior Among Trajectory Data
Attention for Chapter 26: Environmental Sound Recognition Using Masked Conditional Neural Networks
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About this Attention Score

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Chapter title
Environmental Sound Recognition Using Masked Conditional Neural Networks
Chapter number 26
Book title
Advanced Data Mining and Applications
Published in
arXiv, November 2017
DOI 10.1007/978-3-319-69179-4_26
Book ISBNs
978-3-31-969178-7, 978-3-31-969179-4
Authors

Fady Medhat, David Chesmore, John Robinson, Medhat, Fady, Chesmore, David, Robinson, John

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 23%
Researcher 3 23%
Student > Bachelor 1 8%
Unknown 6 46%
Readers by discipline Count As %
Computer Science 4 31%
Engineering 1 8%
Design 1 8%
Unknown 7 54%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 10 April 2018.
All research outputs
#15,905,676
of 24,226,848 outputs
Outputs from arXiv
#352,176
of 1,027,652 outputs
Outputs of similar age
#200,907
of 335,208 outputs
Outputs of similar age from arXiv
#9,094
of 22,278 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,027,652 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 60% 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 335,208 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22,278 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 50% of its contemporaries.