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Advances in Knowledge Discovery and Data Mining

Overview of attention for book
Cover of 'Advances in Knowledge Discovery and Data Mining'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Convolutional Bi-directional LSTM for Detecting Inappropriate Query Suggestions in Web Search
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    Chapter 2 A Fast and Easy Regression Technique for k-NN Classification Without Using Negative Pairs
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    Chapter 3 Deep Network Regularization via Bayesian Inference of Synaptic Connectivity
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    Chapter 4 Adaptive One-Class Support Vector Machine for Damage Detection in Structural Health Monitoring
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    Chapter 5 A Classification Model for Diverse and Noisy Labelers
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    Chapter 6 Automatic Discovery of Common and Idiosyncratic Latent Effects in Multilevel Regression
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    Chapter 7 A Deep Neural Network for Pairwise Classification: Enabling Feature Conjunctions and Ensuring Symmetry
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    Chapter 8 Feature Ranking of Large, Robust, and Weighted Clustering Result
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    Chapter 9 Purchase Signatures of Retail Customers
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    Chapter 10 Volatility Adaptive Classifier System
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    Chapter 11 Distributed Representations for Words on Tables
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    Chapter 12 Link Prediction for Isolated Nodes in Heterogeneous Network by Topic-Based Co-clustering
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    Chapter 13 Predicting Destinations from Partial Trajectories Using Recurrent Neural Network
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    Chapter 14 Preventing Inadvertent Information Disclosures via Automatic Security Policies
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    Chapter 15 Personalized Deep Learning for Tag Recommendation
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    Chapter 16 Information-Theoretic Non-redundant Subspace Clustering
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    Chapter 17 Cost Matters: A New Example-Dependent Cost-Sensitive Logistic Regression Model
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    Chapter 18 Beyond Assortativity: Proclivity Index for Attributed Networks (ProNe)
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    Chapter 19 Hierarchical Mixed Neural Network for Joint Representation Learning of Social-Attribute Network
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    Chapter 20 Cost-Effective Viral Marketing in the Latency Aware Independent Cascade Model
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    Chapter 21 DSBPR: Dual Similarity Bayesian Personalized Ranking
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    Chapter 22 Usage Based Tag Enhancement of Images
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    Chapter 23 Edge Role Discovery via Higher-Order Structures
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    Chapter 24 Efficient Bi-level Variable Selection and Application to Estimation of Multiple Covariance Matrices
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    Chapter 25 Entity Set Expansion with Meta Path in Knowledge Graph
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    Chapter 26 Using Network Flows to Identify Users Sharing Extremist Content on Social Media
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    Chapter 27 MC3: A Multi-class Consensus Classification Framework
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    Chapter 28 Monte Carlo Based Incremental PageRank on Evolving Graphs
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    Chapter 29 Joint Weighted Nonnegative Matrix Factorization for Mining Attributed Graphs
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    Chapter 30 Predicting Happiness State Based on Emotion Representative Mining in Online Social Networks
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    Chapter 31 Exploring Celebrities on Inferring User Geolocation in Twitter
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    Chapter 32 Do Rumors Diffuse Differently from Non-rumors? A Systematically Empirical Analysis in Sina Weibo for Rumor Identification
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    Chapter 33 Investigating the Dynamics of Religious Conflicts by Mining Public Opinions on Social Media
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    Chapter 34 Mining High-Utility Itemsets with Both Positive and Negative Unit Profits from Uncertain Databases
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    Chapter 35 Sparse Stochastic Inference with Regularization
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    Chapter 36 Exploring Check-in Data to Infer Social Ties in Location Based Social Networks
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    Chapter 37 Scalable Twitter User Clustering Approach Boosted by Personalized PageRank
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    Chapter 38 An Enhanced Markov Clustering Algorithm Based on Physarum
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    Chapter 39 Exploiting Geographical Location for Team Formation in Social Coding Sites
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    Chapter 40 Weighted Simplicial Complex: A Novel Approach for Predicting Small Group Evolution
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    Chapter 41 A P-LSTM Neural Network for Sentiment Classification
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    Chapter 42 Learning What Matters – Sampling Interesting Patterns
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    Chapter 43 PNE: Label Embedding Enhanced Network Embedding
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    Chapter 44 Improving Temporal Record Linkage Using Regression Classification
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    Chapter 45 Community Detection in Graph Streams by Pruning Zombie Nodes
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    Chapter 46 Bilingual Lexicon Extraction from Comparable Corpora Based on Closed Concepts Mining
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    Chapter 47 Collective Geographical Embedding for Geolocating Social Network Users
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    Chapter 48 Partitioning-Based Mechanisms Under Personalized Differential Privacy
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    Chapter 49 Efficient Cryptanalysis of Bloom Filters for Privacy-Preserving Record Linkage
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    Chapter 50 Energy-Based Localized Anomaly Detection in Video Surveillance
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    Chapter 51 A Fast Fourier Transform-Coupled Machine Learning-Based Ensemble Model for Disease Risk Prediction Using a Real-Life Dataset
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    Chapter 52 Assessing Death Risk of Patients with Cardiovascular Disease from Long-Term Electrocardiogram Streams Summarization
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    Chapter 53 On the Robustness of Decision Tree Learning Under Label Noise
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    Chapter 54 Relevance-Based Evaluation Metrics for Multi-class Imbalanced Domains
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    Chapter 55 Location Prediction Through Activity Purpose: Integrating Temporal and Sequential Models
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    Chapter 56 Modeling Temporal Behavior of Awards Effect on Viewership of Movies
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    Chapter 57 A Physarum-Inspired Ant Colony Optimization for Community Mining
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    Chapter 58 A Novel Diversity Measure for Understanding Movie Ranks in Movie Collaboration Networks
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    Chapter 59 Local-to-Global Unsupervised Anomaly Detection from Temporal Data
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    Chapter 60 Mining Temporal Fluctuating Patterns
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    Chapter 61 Marked Temporal Dynamics Modeling Based on Recurrent Neural Network
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    Chapter 62 Mining of Location-Based Social Networks for Spatio-Temporal Social Influence
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    Chapter 63 Multi-perspective Hierarchical Dirichlet Process for Geographical Topic Modeling
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    Chapter 64 Enumerating Non-redundant Association Rules Using Satisfiability
Attention for Chapter 42: Learning What Matters – Sampling Interesting Patterns
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
14 X users

Citations

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4 Dimensions

Readers on

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11 Mendeley
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Chapter title
Learning What Matters – Sampling Interesting Patterns
Chapter number 42
Book title
Advances in Knowledge Discovery and Data Mining
Published in
arXiv, May 2017
DOI 10.1007/978-3-319-57454-7_42
Book ISBNs
978-3-31-957453-0, 978-3-31-957454-7
Authors

Vladimir Dzyuba, Matthijs van Leeuwen

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Luxembourg 1 9%
Unknown 10 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 36%
Other 1 9%
Student > Bachelor 1 9%
Student > Master 1 9%
Researcher 1 9%
Other 1 9%
Unknown 2 18%
Readers by discipline Count As %
Computer Science 7 64%
Earth and Planetary Sciences 1 9%
Decision Sciences 1 9%
Unknown 2 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 08 February 2017.
All research outputs
#5,803,122
of 23,314,015 outputs
Outputs from arXiv
#116,627
of 960,567 outputs
Outputs of similar age
#90,663
of 314,538 outputs
Outputs of similar age from arXiv
#2,328
of 17,999 outputs
Altmetric has tracked 23,314,015 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 960,567 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 87% 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 314,538 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 70% of its contemporaries.
We're also able to compare this research output to 17,999 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.