Advances in Knowledge Discovery and Data Mining

Table of Contents

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   Book Overview
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   Chapter 1 Probabilistic Topic and Role Model for Information Diffusion in Social Network
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   Chapter 2 Topic-Sensitive Influential Paper Discovery in Citation Network
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   Chapter 3 Course-Specific Markovian Models for Grade Prediction
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   Chapter 4 A Temporal Topic Model for Noisy Mediums
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   Chapter 5 A CRF-Based Stacking Model with Meta-features for Named Entity Recognition
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   Chapter 6 Adding Missing Words to Regular Expressions
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   Chapter 7 Marrying Community Discovery and Role Analysis in Social Media via Topic Modeling
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   Chapter 8 Text Generation Based on Generative Adversarial Nets with Latent Variables
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    Chapter 9 GEMINIO: Finding Duplicates in a Question Haystack
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    Chapter 10 Fast Converging Multi-armed Bandit Optimization Using Probabilistic Graphical Model
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    Chapter 11 Leveraging Label Category Relationships in Multi-class Crowdsourcing
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    Chapter 12 Embedding Knowledge Graphs Based on Transitivity and Asymmetry of Rules
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    Chapter 13 SIGNet: Scalable Embeddings for Signed Networks
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    Chapter 14 Sub2Vec : Feature Learning for Subgraphs
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    Chapter 15 Interaction Content Aware Network Embedding via Co-embedding of Nodes and Edges
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    Chapter 16 MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding
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    Chapter 17 Multi-network User Identification via Graph-Aware Embedding
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    Chapter 18 Knowledge-Based Recommendation with Hierarchical Collaborative Embedding
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    Chapter 19 DPNE: Differentially Private Network Embedding
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    Chapter 20 A Generalization of Recurrent Neural Networks for Graph Embedding
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    Chapter 21 NE-FLGC: Network Embedding Based on Fusing Local (First-Order) and Global (Second-Order) Network Structure with Node Content
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    Chapter 22 Category Multi-representation: A Unified Solution for Named Entity Recognition in Clinical Texts
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    Chapter 23 A Heterogeneous Information Network Method for Entity Set Expansion in Knowledge Graph
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    Chapter 24 Identifying In-App User Actions from Mobile Web Logs
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    Chapter 25 Harvesting Knowledge from Cultural Heritage Artifacts in Museums of India
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    Chapter 26 Query-Based Automatic Training Set Selection for Microblog Retrieval
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    Chapter 27 Distributed Representation of Multi-sense Words: A Loss Driven Approach
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    Chapter 28 Active Blocking Scheme Learning for Entity Resolution
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    Chapter 29 Mining Relations from Unstructured Content
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    Chapter 30 Incorporating Word Embeddings into Open Directory Project Based Large-Scale Classification
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    Chapter 31 Inference of a Concise Regular Expression Considering Interleaving from XML Documents
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    Chapter 32 Accelerating Adaptive Online Learning by Matrix Approximation
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    Chapter 33 Cruising or Waiting: A Shared Recommender System for Taxi Drivers
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    Chapter 34 A Local Online Learning Approach for Non-linear Data
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    Chapter 35 Contextual Location Imputation for Confined WiFi Trajectories
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    Chapter 36 Low Redundancy Estimation of Correlation Matrices for Time Series Using Triangular Bounds
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    Chapter 37 Traffic Accident Detection with Spatiotemporal Impact Measurement
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    Chapter 38 MicroGRID: An Accurate and Efficient Real-Time Stream Data Clustering with Noise
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    Chapter 39 UFSSF - An Efficient Unsupervised Feature Selection for Streaming Features
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    Chapter 40 Online Clustering for Evolving Data Streams with Online Anomaly Detection
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    Chapter 41 An Incremental Dual nu-Support Vector Regression Algorithm
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    Chapter 42 Text Stream to Temporal Network - A Dynamic Heartbeat Graph to Detect Emerging Events on Twitter
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    Chapter 43 Model the Dynamic Evolution of Facial Expression from Image Sequences
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    Chapter 44 Unsupervised Disaggregation of Low Granularity Resource Consumption Time Series
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    Chapter 45 STARS: S oft Multi- T ask Learning for A ctivity R ecognition from Multi-Modal S ensor Data
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    Chapter 46 A Refined MISD Algorithm Based on Gaussian Process Regression