Databases Theory and Applications

Databases Theory and Applications: 28th Australasian Database Conference, ADC 2017, Brisbane, QLD, Australia, September 25–28, 2017, Proceedings (Lecture Notes in Computer Science)

This book constitutes the refereed proceedings of the 28th Australasian Database Conference, ADC 2017, held in Brisbane, QLD, Australia, in September 2017.

The 20 full papers presented together with 2 demo papers were carefully reviewed and selected from 32 submissions. The mission of ADC is to share novel research solutions to problems of today’s information society that fulfill the needs of heterogeneous applications and environments and to identify new issues and directions for future research and development work. The topics of the presented papers are related to all practical and theoretical aspects of advanced database theory and applications, as well as case studies and implementation experiences.

Table of Contents

Part 1 Spatial Databases
Chapter 1 The Flexible Group Spatial Keyword Query
Chapter 2 Surrounding Join Query Processing in Spatial Databases
Chapter 3 Boosting Point-Based Trajectory Search with Quad-Tree

Part 2 Query Processing
Chapter 4 Query Refinement for Correlation-Based Time Series Exploration
Chapter 5 A Multi-way Semi-stream Join for a Near-Real-Time Data Warehouse
Chapter 6 Decomposition-Based Approximation of Time Series Data with Max-Error Guarantees

Part 3 Similarity Search
Chapter 7 Searching k-Nearest Neighbor Trajectories on Road Networks
Chapter 8 Efficient Supervised Hashing via Exploring Local and Inner Data Structure
Chapter 9 Learning Robust Graph Hashing for Efficient Similarity Search

Part 3 Data Mining
Chapter 10 Provenance-Based Rumor Detection
Chapter 11 An Embedded Feature Selection Framework for Hybrid Data
Chapter 12 A New Data Mining Scheme for Analysis of Big Brain Signal Data
Chapter 13 Extracting Keyphrases Using Heterogeneous Word Relations
Chapter 14 Mining High-Dimensional CyTOF Data: Concurrent Gating, Outlier Removal, and Dimension Reduction

Part 4 AI for Big Data
Chapter 15 Locality-Constrained Transfer Coding for Heterogeneous Domain Adaptation
Chapter 16 Training Deep Ranking Model with Weak Relevance Labels
Chapter 17 A Deep Approach for Multi-modal User Attribute Modeling

Part 5 Potpourri
Chapter 18 Reversible Fragile Watermarking for Fine-Grained Tamper Localization in Spatial Data
Chapter 19 Jointly Learning Attentions with Semantic Cross-Modal Correlation for Visual Question Answering
Chapter 20 Deep Semantic Indexing Using Convolutional Localization Network with Region-Based Visual Attention for Image Database

Part 6 Demo Papers
Chapter 21 Real-Time Popularity Prediction on Instagram
Chapter 22 DSKQ: A System for Efficient Processing of Diversified Spatial-Keyword Query