Database Systems for Advanced Applications : 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22-25, 2019, Proceedings, Part I / 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, 11446

Information Systems and Applications, incl. Internet/Web, and HCI ; 11446

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 (XXIV, 817 pages)

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:

Big Data

Accelerating Real-time Tracking Applications over Big Data Stream with Constrained Space

A Frequency Scaling based Performance Indicator Framework for Big Data Systems

A Time-Series Sockpuppet Detection Method for Dynamic Social Relationships

Accelerating Hybrid Transactional/Analytical Processing using Consistent Dual-Snapshot

HSDS: an Abstractive Model for Automatic Survey Generation

PU-Shapelets: Towards Pattern-based Positive Unlabeled Classification of Time Series

Clustering and Classification

Discovering Relationship Patterns among Associated Temporal Event Sequences

Efficient Mining of Event Periodicity in Data Series

EPPADS: An Enhanced Phase-based Performance-Aware Dynamic Scheduler for High Job Execution Performance in Large Scale Data Clusters

Incremental Discovery of Order Dependencies on Tuple Insertions

Multi-view Spectral Clustering via Weighted-view Consensus Similarity and Matrix-decomposition based Discretization

SIRCS: Slope-intercept-residual Compression by Correlation Sequencing for Multi-stream High Variation Data

Crowdsourcing

Fast Quorum-based Log Replication and Replay for Fast Databases

PDCS: A Privacy-preserving Distinct Counting Scheme for Mobile Sensing

Reinforced Reliable Worker Selection for Spatial Crowdsensing Networks

SeqST-ResNet: A Sequential Spatial Temporal ResNet for Task Prediction in Spatial Crowdsourcing

Towards Robust Arbitrarily Oriented Subspace Clustering

Truthful Crowdsensed Data Trading Based on Reverse Auction and Blockchain

Data Integration

Selective Matrix Factorization for Multi-Relational Data Fusion

Selectivity Estimation on Set Containment Search

Typicality-based Across-time Mapping of Entity Sets in Document Archives

Unsupervised Entity Alignment using Attribute Triples and Relation Triples

Combining Meta-Graph and Attention for Recommendation over Heterogeneous Information Network

Efficient Search of the Most Cohesive Co-Located Community in Attributed Networks

Embedding

A Weighted Word Embedding Model for Text Classification

Bipartite Network Embedding via Effective Integration of Explicit and Implicit Relations

Enhancing Network Embedding with Implicit Clustering

MDAL: Multi-task Dual Attention LSTM Model for Semi-supervised Network Embedding

Net2Text: An Edge Labelling Language Model for Personalized Comment Generation

Understanding Information Diffusion via Heterogeneous Information Network Embeddings

Graphs

Distributed Parallel Structural Hole Detection on Big Graphs

DynGraphGAN: Dynamic Graph Embedding via Generative Adversarial Networks

Evaluating Mixed Patterns on Large Data Graphs Using Bitmap Views

Heterogeneous Information Network Hashing for Fast Nearest Neighbor Search

Learning Fine-grained Patient Similarity with Dynamic Bayesian Network Embedded RNNs

Towards Efficient k-TriPeak Decomposition on Large Graphs

Knowledge Graph

Evaluating the Choice of Tags in CQA Sites

Fast Maximal Clique Enumeration for Real-world Graphs

Leveraging Knowledge Graph Embeddings for Natural Language Question Answering

Measuring Semantic Relatedness with Knowledge Association Network

SINE: Side Information Network Embedding

A Knowledge Graph Enhanced Topic Modeling Approach for Herb Recommendation

Knowledge Base Error Detection with Relation Sensitive Embedding

Leon: A Distributed RDF Engine for Multi-query Processing

MathGraph: A knowledge graph for solving mathematical exercises

Multi-Hop Path Queries over Knowledge Graphs with Neural Memory Networks

Sentiment Classification by Leveraging the Shared Knowledge.

Other Format:

Printed edition:

ISBN:

978-3-030-18576-3

9783030185763

Access Restriction:

Restricted for use by site license.