Database Systems for Advanced Applications : 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22-25, 2019, Proceedings, Part II / edited by Guoliang Li, Jun Yang, Joao Gama, Juggapong Natwichai, Yongxin Tong.

Format:

Book

Contributor:

Li, Guoliang, Editor.

Yang, Jun, Editor.

Gama, João, Editor.

Juggapong Natwichai, Editor.

Tong, Yongxin, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 11447

Information Systems and Applications, incl. Internet/Web, and HCI ; 11447

Language:

English

Subjects (All):

Database management.

Data mining.

Information storage and retrieval systems.

Artificial intelligence.

Social sciences-Data processing.

Computer networks.

Database Management.

Data Mining and Knowledge Discovery.

Information Storage and Retrieval.

Artificial Intelligence.

Computer Application in Social and Behavioral Sciences.

Computer Communication Networks.

Local Subjects:

Database Management.

Data Mining and Knowledge Discovery.

Information Storage and Retrieval.

Artificial Intelligence.

Computer Application in Social and Behavioral Sciences.

Computer Communication Networks.

Physical Description:

1 online resource (XXIII, 785 pages) : 334 illustrations, 195 illustrations in color.

Edition:

1st ed. 2019.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2019.

System Details:

text file PDF

Summary:

This two-volume set LNCS 11446 and LNCS 11447 constitutes the refereed proceedings of the 24th International Conference on Database Systems for Advanced Applications, DASFAA 2019, held in Chiang Mai, Thailand, in April 2019. The 92 full papers and 64 short papers were carefully selected from a total of 501 submissions. In addition, 13 demo papers and 6 tutorial papers are included. The full papers are organized in the following topics: big data; clustering and classification; crowdsourcing; data integration; embedding; graphs; knowledge graph; machine learning; privacy and graph; recommendation; social network; spatial; and spatio-temporal. The short papers, demo papers, and tutorial papers can be found in the volume LNCS 11448, which also includes the workshops of DASFAA 2019.

Contents:

Machine Learning

An Approach Based on Bayesian Networks for Query Selectivity Estimation

An Exploration of Cross-Modal Retrieval for Unseen Concepts

Continuous Patient-centric Sequence Generation via Sequentially Coupled Adversarial Learning

DMMAM: A Deep Multi-source Multi-task Attention Model for Intensive Care Unit Diagnosis

Learning k-Occurrence Regular Expressions with Interleaving

Learning from User Social Relation for Document Sentiment Classification

Reinforcement Learning to Diversify Recommendations

Retweeting Prediction using Matrix Factorization with Binomial Distribution and Contextual Information

Sparse Gradient Compression for Distributed SGD

STDR: A Deep Learning Method for Travel Time Estimation

Using Fractional Latent Topic to Enhance Recurrent Neural Network in Text Similarity Modeling

Efficiently Mining Maximal Diverse Frequent Itemsets

Privacy and Graph

Efficient Local Search for Minimum Dominating Sets in Large Graphs

Multi-level Graph Compression for Fast Reachability Detection

Multiple Privacy Regimes Mechanism For Local Differential Privacy

Privacy Preserving Elastic Stream Processing with Clouds using Homomorphic Encryption

Select the Best for Me: Privacy-preserving Polynomial Evaluation Algorithm over Road Network

Recommendation

AdaCML: Adaptive Collaborative Metric Learning for Recommendation

Adaptive Attention-Aware Gated Recurrent Unit for Sequential Recommendation

Attention and Convolution Enhanced Memory Network for Sequential Recommendation

Attention-based Neural Tag Recommender System

Density Matrix based Preference Evolution Networks for E-commerce Recommendation

Multi-Source Multi-Net Micro-Video Recommendation with Hidden Item Category Discovery

Incorporating Task-oriented Representation in Text Classification

Music Playlist Recommendation with Long Short-Term Memory

Online Collaborative Filtering with Implicit Feedback

Subspace Ensemble-based Neighbor User Searching for Neighborhood-based Collaborative Filtering

Towards Both Local and Global Query Result Diversification

Social Network

Structured Spectral Clustering of PurTree Data

Dynamic stochastic block model with scale-free characteristic for temporal complex networks

In Good Company: Efficient Retrieval of the Top-k Most Relevant Event-Partner Pairs

Local Experts Finding across Multiple Social Networks

SBRNE: An Improved Unified Framework for Social and Behavior Recommendations with Network Embedding

User Intention-based Document Summarization on Heterogeneous Sentence Networks

Spatial

A Hierarchical Index Structure for Region-aware Spatial Keyword Search with Edit Distance Constraint

Collective POI Querying Based on Multiple Keywords and User Preference

DPSCAN: Structural Graph Clustering Based on Density Peaks

Efficient Processing of Spatial Group Preference Queries

Reverse-Auction-Based Competitive Order Assignment for Mobile Taxi-Hailing Systems

Top-k Spatio-Topic Query on Social Media Data

Spatio-temporal

A Frequency-aware Spatio-Temporal Network for Traffic Flow Prediction

Efficient Algorithms for Solving Aggregate Keyword Routing Problems

Perceiving Topic Bubbles: Local Topic Detection in Spatio-temporal Tweet Stream

Real-Time Route Planning and Online Order Dispatch for Bus-Booking Platforms

STL: Online Detection of Taxi Trajectory Anomaly based on Spatial-Temporal Laws.

Other Format:

Printed edition:

ISBN:

978-3-030-18579-4

9783030185794

Access Restriction:

Restricted for use by site license.