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Databases Theory and Applications 1st Edition by Zi Huang, Xiaokui Xiao, Xin Cao ISBN 9783319681559 3319681559

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Product details:
ISBN 10: 3319681559
ISBN 13: 9783319681559
Author: Zi Huang, Xiaokui Xiao, Xin Cao

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.
 

Databases Theory and Applications 1st Edition Table of contents:

1. Spatial Databases

The Flexible Group Spatial Keyword Query

Surrounding Join Query Processing in Spatial Databases

Boosting Point-Based Trajectory Search with Quad-Tree

2. Query Processing

Query Refinement for Correlation-Based Time Series Exploration

A Multi-way Semi-stream Join for a Near-Real-Time Data Warehouse

Decomposition-Based Approximation of Time Series Data with Max-Error Guarantees

3. Similarity Search

Searching k-Nearest Neighbor Trajectories on Road Networks

Efficient Supervised Hashing via Exploring Local and Inner Data Structure

Learning Robust Graph Hashing for Efficient Similarity Search

4. Data Mining

Provenance-Based Rumor Detection

An Embedded Feature Selection Framework for Hybrid Data

A New Data Mining Scheme for Analysis of Big Brain Signal Data

Extracting Keyphrases Using Heterogeneous Word Relations

Mining High-Dimensional CyTOF Data: Concurrent Gating, Outlier Removal, and Dimension Reduction

5. AI for Big Data

Locality-Constrained Transfer Coding for Heterogeneous Domain Adaptation

Training Deep Ranking Model with Weak Relevance Labels

A Deep Approach for Multi-modal User Attribute Modeling

6. Potpourri

Reversible Fragile Watermarking for Fine-Grained Tamper Localization in Spatial Data

Jointly Learning Attentions with Semantic Cross-Modal Correlation for Visual Question Answering

Deep Semantic Indexing Using Convolutional Localization Network with Region-Based Visual Attention for Image Database

7. Demo Papers

Real-Time Popularity Prediction on Instagram

DSKQ: A System for Efficient Processing of Diversified Spatial-Keyword Query

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