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Advances in Knowledge Discovery and Data Mining

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Cover of 'Advances in Knowledge Discovery and Data Mining'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Discovering High Utility Itemsets Based on the Artificial Bee Colony Algorithm
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    Chapter 2 A Scalable and Efficient Subgroup Blocking Scheme for Multidatabase Record Linkage
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    Chapter 3 Efficient Feature Selection Framework for Digital Marketing Applications
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    Chapter 4 Dynamic Feature Selection Algorithm Based on Minimum Vertex Cover of Hypergraph
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    Chapter 5 Feature Selection for Multiclass Binary Data
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    Chapter 6 Scalable Model-Based Cascaded Imputation of Missing Data
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    Chapter 7 On Reducing Dimensionality of Labeled Data Efficiently
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    Chapter 8 Using Metric Space Indexing for Complete and Efficient Record Linkage
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    Chapter 9 Dimensionality Reduction via Community Detection in Small Sample Datasets
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    Chapter 10 An Interaction-Enhanced Feature Selection Algorithm
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    Chapter 11 An Extended Random-Sets Model for Fusion-Based Text Feature Selection
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    Chapter 12 Attribute Reduction Algorithm Based on Improved Information Gain Rate and Ant Colony Optimization
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    Chapter 13 Efficient Approximate Algorithms for the Closest Pair Problem in High Dimensional Spaces
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    Chapter 14 Efficient Compression Technique for Sparse Sets
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    Chapter 15 It Pays to Be Certain: Unsupervised Record Linkage via Ambiguity Minimization
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    Chapter 16 Consensus Community Detection in Multilayer Networks Using Parameter-Free Graph Pruning
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    Chapter 17 Community Discovery Based on Social Relations and Temporal-Spatial Topics in LBSNs
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    Chapter 18 A Unified Weakly Supervised Framework for Community Detection and Semantic Matching
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    Chapter 19 Tapping Community Memberships and Devising a Novel Homophily Modeling Approach for Trust Prediction
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    Chapter 20 Text-Visualizing Neural Network Model: Understanding Online Financial Textual Data
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    Chapter 21 MIDA: Multiple Imputation Using Denoising Autoencoders
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    Chapter 22 Dual Control Memory Augmented Neural Networks for Treatment Recommendations
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    Chapter 23 Denoising Time Series Data Using Asymmetric Generative Adversarial Networks
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    Chapter 24 Shared Deep Kernel Learning for Dimensionality Reduction
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    Chapter 25 CDSSD: Refreshing Single Shot Object Detection Using a Conv-Deconv Network
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    Chapter 26 Binary Classification of Sequences Possessing Unilateral Common Factor with AMS and APR
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    Chapter 27 Automating Reading Comprehension by Generating Question and Answer Pairs
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    Chapter 28 Emotion Classification with Data Augmentation Using Generative Adversarial Networks
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    Chapter 29 Trans2Vec: Learning Transaction Embedding via Items and Frequent Itemsets
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    Chapter 30 Detecting Complex Sensitive Information via Phrase Structure in Recursive Neural Networks
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    Chapter 31 A Distance Scaling Method to Improve Density-Based Clustering
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    Chapter 32 Neighbourhood Contrast: A Better Means to Detect Clusters Than Density
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    Chapter 33 Clustering of Multiple Density Peaks
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    Chapter 34 A New Local Density for Density Peak Clustering
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    Chapter 35 An Efficient Ranking-Centered Density-Based Document Clustering Method
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    Chapter 36 Fast Manifold Landmarking Using Locality-Sensitive Hashing
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    Chapter 37 Equitable Conceptual Clustering Using OWA Operator
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    Chapter 38 Unsupervised Extremely Randomized Trees
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    Chapter 39 Local Graph Clustering by Multi-network Random Walk with Restart
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    Chapter 40 Scalable Approximation Algorithm for Graph Summarization
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    Chapter 41 RIPEx: Extracting Malicious IP Addresses from Security Forums Using Cross-Forum Learning
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    Chapter 42 Pattern-Mining Based Cryptanalysis of Bloom Filters for Privacy-Preserving Record Linkage
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    Chapter 43 A Privacy Preserving Bayesian Optimization with High Efficiency
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    Chapter 44 Randomizing SVM Against Adversarial Attacks Under Uncertainty
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    Chapter 45 One for the Road: Recommending Male Street Attire
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    Chapter 46 Context-Aware Location Annotation on Mobility Records Through User Grouping
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    Chapter 47 A Joint Optimization Approach for Personalized Recommendation Diversification
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    Chapter 48 Personalized Item-of-Interest Recommendation on Storage Constrained Smartphone Based on Word Embedding Quantization
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    Chapter 49 Topic-Specific Retweet Count Ranking for Weibo
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    Chapter 50 Motif-Aware Diffusion Network Inference
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    Chapter 51 Tri-Fly: Distributed Estimation of Global and Local Triangle Counts in Graph Streams
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    Chapter 52 WFSM-MaxPWS: An Efficient Approach for Mining Weighted Frequent Subgraphs from Edge-Weighted Graph Databases
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    Chapter 53 A Game-Theoretic Adversarial Approach to Dynamic Network Prediction
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    Chapter 54 Targeted Influence Minimization in Social Networks
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    Chapter 55 Maximizing Social Influence on Target Users
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    Chapter 56 Team Expansion in Collaborative Environments
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    Chapter 57 HashAlign: Hash-Based Alignment of Multiple Graphs
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    Chapter 58 Evaluating and Analyzing Reliability over Decentralized and Complex Networks
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    Chapter 59 Efficient Exact and Approximate Algorithms for Computing Betweenness Centrality in Directed Graphs
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    Chapter 60 Forecasting Bitcoin Price with Graph Chainlets
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    Chapter 61 Information Propagation Trees for Protest Event Prediction
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    Chapter 62 Predictive Team Formation Analysis via Feature Representation Learning on Social Networks
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    Chapter 63 Leveraging Local Interactions for Geolocating Social Media Users
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    Chapter 64 Utilizing Sequences of Touch Gestures for User Verification on Mobile Devices
Attention for Chapter 30: Detecting Complex Sensitive Information via Phrase Structure in Recursive Neural Networks
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Mentioned by

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2 patents

Citations

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Chapter title
Detecting Complex Sensitive Information via Phrase Structure in Recursive Neural Networks
Chapter number 30
Book title
Advances in Knowledge Discovery and Data Mining
Published by
Springer, Cham, June 2018
DOI 10.1007/978-3-319-93040-4_30
Book ISBNs
978-3-31-993039-8, 978-3-31-993040-4
Authors

Jan Neerbek, Ira Assent, Peter Dolog, Neerbek, Jan, Assent, Ira, Dolog, Peter

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 22%
Student > Bachelor 1 11%
Student > Ph. D. Student 1 11%
Unknown 5 56%
Readers by discipline Count As %
Computer Science 3 33%
Engineering 1 11%
Unknown 5 56%