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Database Systems for Advanced Applications

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Cover of 'Database Systems for Advanced Applications'

Table of Contents

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    Book Overview
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    Chapter 1 An Approach Based on Bayesian Networks for Query Selectivity Estimation
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    Chapter 2 An Exploration of Cross-Modal Retrieval for Unseen Concepts
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    Chapter 3 Continuous Patient-Centric Sequence Generation via Sequentially Coupled Adversarial Learning
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    Chapter 4 DMMAM: Deep Multi-source Multi-task Attention Model for Intensive Care Unit Diagnosis
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    Chapter 5 Learning k -Occurrence Regular Expressions with Interleaving
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    Chapter 6 Learning from User Social Relation for Document Sentiment Classification
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    Chapter 7 Reinforcement Learning to Diversify Top-N Recommendation
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    Chapter 8 Retweeting Prediction Using Matrix Factorization with Binomial Distribution and Contextual Information
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    Chapter 9 Sparse Gradient Compression for Distributed SGD
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    Chapter 10 STDR: A Deep Learning Method for Travel Time Estimation
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    Chapter 11 Using Fractional Latent Topic to Enhance Recurrent Neural Network in Text Similarity Modeling
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    Chapter 12 Efficiently Mining Maximal Diverse Frequent Itemsets
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    Chapter 13 Efficient Local Search for Minimum Dominating Sets in Large Graphs
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    Chapter 14 Multi-level Graph Compression for Fast Reachability Detection
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    Chapter 15 Multiple Privacy Regimes Mechanism for Local Differential Privacy
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    Chapter 16 Privacy Preserving Elastic Stream Processing with Clouds Using Homomorphic Encryption
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    Chapter 17 Select the Best for Me: Privacy-Preserving Polynomial Evaluation Algorithm over Road Network
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    Chapter 18 AdaCML: Adaptive Collaborative Metric Learning for Recommendation
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    Chapter 19 Adaptive Attention-Aware Gated Recurrent Unit for Sequential Recommendation
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    Chapter 20 Attention and Convolution Enhanced Memory Network for Sequential Recommendation
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    Chapter 21 Attention-Based Neural Tag Recommendation
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    Chapter 22 Density Matrix Based Preference Evolution Networks for E-Commerce Recommendation
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    Chapter 23 Multi-source Multi-net Micro-video Recommendation with Hidden Item Category Discovery
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    Chapter 24 Incorporating Task-Oriented Representation in Text Classification
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    Chapter 25 Music Playlist Recommendation with Long Short-Term Memory
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    Chapter 26 Online Collaborative Filtering with Implicit Feedback
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    Chapter 27 Subspace Ensemble-Based Neighbor User Searching for Neighborhood-Based Collaborative Filtering
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    Chapter 28 Towards both Local and Global Query Result Diversification
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    Chapter 29 Structured Spectral Clustering of PurTree Data
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    Chapter 30 Dynamic Stochastic Block Model with Scale-Free Characteristic for Temporal Complex Networks
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    Chapter 31 In Good Company: Efficient Retrieval of the Top- k Most Relevant Event-Partner Pairs
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    Chapter 32 Local Experts Finding Across Multiple Social Networks
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    Chapter 33 SBRNE: An Improved Unified Framework for Social and Behavior Recommendations with Network Embedding
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    Chapter 34 User Intention-Based Document Summarization on Heterogeneous Sentence Networks
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    Chapter 35 A Hierarchical Index Structure for Region-Aware Spatial Keyword Search with Edit Distance Constraint
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    Chapter 36 Collective POI Querying Based on Multiple Keywords and User Preference
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    Chapter 37 DPSCAN: Structural Graph Clustering Based on Density Peaks
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    Chapter 38 Efficient Processing of Spatial Group Preference Queries
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    Chapter 39 Reverse-Auction-Based Competitive Order Assignment for Mobile Taxi-Hailing Systems
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    Chapter 40 Top-K Spatio-Topic Query on Social Media Data
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    Chapter 41 A Frequency-Aware Spatio-Temporal Network for Traffic Flow Prediction
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    Chapter 42 Efficient Algorithms for Solving Aggregate Keyword Routing Problems
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    Chapter 43 Perceiving Topic Bubbles: Local Topic Detection in Spatio-Temporal Tweet Stream
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    Chapter 44 Real-Time Route Planning and Online Order Dispatch for Bus-Booking Platforms
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    Chapter 45 STL: Online Detection of Taxi Trajectory Anomaly Based on Spatial-Temporal Laws
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Title
Database Systems for Advanced Applications
Published by
Springer International Publishing, June 2019
DOI 10.1007/978-3-030-18579-4
ISBNs
978-3-03-018578-7, 978-3-03-018579-4
Editors

Li, Guoliang, Yang, Jun, Gama, Joao, Natwichai, Juggapong, Tong, Yongxin

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 25%
Student > Master 3 13%
Student > Doctoral Student 2 8%
Student > Bachelor 2 8%
Lecturer 1 4%
Other 1 4%
Unknown 9 38%
Readers by discipline Count As %
Computer Science 9 38%
Engineering 2 8%
Business, Management and Accounting 1 4%
Mathematics 1 4%
Economics, Econometrics and Finance 1 4%
Other 2 8%
Unknown 8 33%