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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 A Probabilistic Approach for Inferring Latent Entity Associations in Textual Web Contents
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    Chapter 2 UHRP: Uncertainty-Based Pruning Method for Anonymized Data Linear Regression
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    Chapter 3 Meta-path Based MiRNA-Disease Association Prediction
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    Chapter 4 Medical Question Retrieval Based on Siamese Neural Network and Transfer Learning Method
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    Chapter 5 An Adaptive Kalman Filter Based Ocean Wave Prediction Model Using Motion Reference Unit Data
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    Chapter 6 ASLM: Adaptive Single Layer Model for Learned Index
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    Chapter 7 SparseMAAC: Sparse Attention for Multi-agent Reinforcement Learning
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    Chapter 8 Identifying Reference Relationship of Desktop Files Based on Access Logs
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    Chapter 9 Visualization of Photo Album: Selecting a Representative Photo of a Specific Event
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    Chapter 10 Data Quality Management in Institutional Research Output Data Center
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    Chapter 11 Generalized Bayesian Structure Learning from Noisy Datasets
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    Chapter 12 ANDMC: An Algorithm for Author Name Disambiguation Based on Molecular Cross Clustering
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    Chapter 13 Graph Based Aspect Extraction and Rating Classification of Customer Review Data
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    Chapter 14 Streaming Massive Electric Power Data Analysis Based on Spark Streaming
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    Chapter 15 Deletion-Robust k -Coverage Queries
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    Chapter 16 Episodic Memory Network with Self-attention for Emotion Detection
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    Chapter 17 Detecting Suicidal Ideation with Data Protection in Online Communities
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    Chapter 18 Hierarchical Conceptual Labeling
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    Chapter 19 Anomaly Detection in Time-Evolving Attributed Networks
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    Chapter 20 A Multi-task Learning Framework for Automatic Early Detection of Alzheimer’s
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    Chapter 21 Top- k Spatial Keyword Quer with Typicality and Semantics
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    Chapter 22 Align Reviews with Topics in Attention Network for Rating Prediction
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    Chapter 23 PSMSP: A Parallelized Sampling-Based Approach for Mining Top- k Sequential Patterns in Database Graphs
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    Chapter 24 Value-Oriented Ranking of Online Reviews Based on Reviewer-Influenced Graph
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    Chapter 25 Ancient Chinese Landscape Painting Composition Classification by Using Semantic Variational Autoencoder
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    Chapter 26 Learning Time-Aware Distributed Representations of Locations from Spatio-Temporal Trajectories
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    Chapter 27 Hyper2vec: Biased Random Walk for Hyper-network Embedding
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    Chapter 28 Privacy-Preserving and Dynamic Spatial Range Aggregation Query Processing in Wireless Sensor Networks
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    Chapter 29 Adversarial Discriminative Denoising for Distant Supervision Relation Extraction
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    Chapter 30 Nonnegative Spectral Clustering for Large-Scale Semi-supervised Learning
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    Chapter 31 Distributed PARAFAC Decomposition Method Based on In-memory Big Data System
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    Chapter 32 GPU-Accelerated Dynamic Graph Coloring
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    Chapter 33 Relevance-Based Entity Embedding
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    Chapter 34 An Iterative Map-Trajectory Co-optimisation Framework Based on Map-Matching and Map Update
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    Chapter 35 Exploring Regularity in Traditional Chinese Medicine Clinical Data Using Heterogeneous Weighted Networks Embedding
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    Chapter 36 AGREE: Attention-Based Tour Group Recommendation with Multi-modal Data
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    Chapter 37 Random Decision DAG: An Entropy Based Compression Approach for Random Forest
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    Chapter 38 Generating Behavior Features for Cold-Start Spam Review Detection
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    Chapter 39 TCL: Tensor-CNN-LSTM for Travel Time Prediction with Sparse Trajectory Data
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    Chapter 40 A Semi-supervised Classification Approach for Multiple Time-Varying Networks with Total Variation
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    Chapter 41 Multidimensional Skylines over Streaming Data
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    Chapter 42 A Domain Adaptation Approach for Multistream Classification
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    Chapter 43 Gradient Boosting Censored Regression for Winning Price Prediction in Real-Time Bidding
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    Chapter 44 Deep Sequential Multi-task Modeling for Next Check-in Time and Location Prediction
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    Chapter 45 SemiSync: Semi-supervised Clustering by Synchronization
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    Chapter 46 Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors
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    Chapter 47 MVS-match: An Efficient Subsequence Matching Approach Based on the Series Synopsis
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    Chapter 48 Spatial-Temporal Recommendation for On-demand Cinemas
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    Chapter 49 Finding the Key Influences on the House Price by Finite Mixture Model Based on the Real Estate Data in Changchun
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    Chapter 50 Semi-supervised Clustering with Deep Metric Learning
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    Chapter 51 Spatial Bottleneck Minimum Task Assignment with Time-Delay
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    Chapter 52 A Mimic Learning Method for Disease Risk Prediction with Incomplete Initial Data
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    Chapter 53 Hospitalization Behavior Prediction Based on Attention and Time Adjustment Factors in Bidirectional LSTM
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    Chapter 54 Modeling Item Categories for Effective Recommendation
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    Chapter 55 Distributed Reachability Queries on Massive Graphs
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    Chapter 56 Edge-Based Shortest Path Caching in Road Networks
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    Chapter 57 Extracting Definitions and Hypernyms with a Two-Phase Framework
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    Chapter 58 Tag Recommendation by Word-Level Tag Sequence Modeling
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    Chapter 59 A New Statistics Collecting Method with Adaptive Strategy
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    Chapter 60 Word Sense Disambiguation with Massive Contextual Texts
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    Chapter 61 Learning DMEs from Positive and Negative Examples
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    Chapter 62 Serial and Parallel Recurrent Convolutional Neural Networks for Biomedical Named Entity Recognition
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    Chapter 63 DRGAN: A GAN-Based Framework for Doctor Recommendation in Chinese On-Line QA Communities
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    Chapter 64 Attention-Based Abnormal-Aware Fusion Network for Radiology Report Generation
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    Chapter 65 LearningTour: A Machine Learning Approach for Tour Recommendation Based on Users’ Historical Travel Experience
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    Chapter 66 TF-Miner: Topic-Specific Facet Mining by Label Propagation
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    Chapter 67 Fast Raft Replication for Transactional Database Systems over Unreliable Networks
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    Chapter 68 Parallelizing Big De Bruijn Graph Traversal for Genome Assembly on GPU Clusters
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    Chapter 69 GScan: Exploiting Sequential Scans for Subgraph Matching
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    Chapter 70 SIMD Accelerates the Probe Phase of Star Joins in Main Memory Databases
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    Chapter 71 A Deep Recommendation Model Incorporating Adaptive Knowledge-Based Representations
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    Chapter 72 BLOMA: Explain Collaborative Filtering via Boosted Local Rank-One Matrix Approximation
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    Chapter 73 Spatiotemporal-Aware Region Recommendation with Deep Metric Learning
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    Chapter 74 On the Impact of the Length of Subword Vectors on Word Embeddings
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    Chapter 75 Using Dilated Residual Network to Model Distantly Supervised Relation Extraction
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    Chapter 76 Modeling More Globally: A Hierarchical Attention Network via Multi-Task Learning for Aspect-Based Sentiment Analysis
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    Chapter 77 A Scalable Sparse Matrix-Based Join for SPARQL Query Processing
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    Chapter 78 Change Point Detection for Streaming High-Dimensional Time Series
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    Chapter 79 Distributed Query Engine for Multiple-Query Optimization over Data Stream
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    Chapter 80 Adding Value by Combining Business and Sensor Data: An Industry 4.0 Use Case
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    Chapter 81 AgriKG: An Agricultural Knowledge Graph and Its Applications
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    Chapter 82 KGVis: An Interactive Visual Query Language for Knowledge Graphs
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    Chapter 83 OperaMiner: Extracting Character Relations from Opera Scripts Using Deep Neural Networks
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    Chapter 84 GparMiner: A System to Mine Graph Pattern Association Rules
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    Chapter 85 A Data Publishing System Based on Privacy Preservation
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    Chapter 86 Privacy as a Service: Publishing Data and Models
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    Chapter 87 Dynamic Bus Route Adjustment Based on Hot Bus Stop Pair Extraction
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    Chapter 88 DHDSearch: A Framework for Batch Time Series Searching on MapReduce
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    Chapter 89 Bus Stop Refinement Based on Hot Spot Extraction
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    Chapter 90 Adaptive Transaction Scheduling for Highly Contended Workloads
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    Chapter 91 IMOptimizer: An Online Interactive Parameter Optimization System Based on Big Data
Overall attention for this book and its chapters
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Title
Database Systems for Advanced Applications
Published by
Springer International Publishing, June 2019
DOI 10.1007/978-3-030-18590-9
ISBNs
978-3-03-018589-3, 978-3-03-018590-9
Editors

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

Twitter Demographics

The data shown below were collected from the profiles of 8 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 10 42%
Student > Bachelor 2 8%
Student > Master 2 8%
Unknown 10 42%
Readers by discipline Count As %
Computer Science 10 42%
Decision Sciences 1 4%
Social Sciences 1 4%
Engineering 1 4%
Unknown 11 46%