The 26th International Conference on Database Systems for Advanced Applications

82 Lectures · Nov 8, 2021

About

The International Conference on Database Systems for Advanced Applications DASFAA provides a leading international forum for discussing the latest research on database systems and advanced applications. DASFAA is a well-established international conference series that provides a forum for technical presentations and discussions among database researchers, developers, and users from academia, business, and industry, which showcases state-of-the-art R&D activities in the general areas of database systems, Web information systems, and their applications. The conference’s long history has established the event as the premier research conference in the database area.

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RESEARCH SESSIONS

12:53

Ranking Associative Entities in Knowledge Graph by Graphical Modeling of Frequen...

Nov 15, 2021

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The 26th International Conference on Database Systems for Advanced Applications

About

Uploaded videos:

RESEARCH SESSIONS

Ranking Associative Entities in Knowledge Graph by Graphical Modeling of Frequen...

A Novel Embedding Model for Knowledge Graph Completion Based on Multi-Task Learn...

Gaussian Metric Learning for Few-Shot Uncertain Knowledge Graph Completion

DMSPool: Dual Multi-Scale Pooling for Graph Representation Learning

A Parameter-free Approach for Lossless Streaming Graph Summarization

A Semi-supervised Framework with Efficient Feature Extraction and Network Alignm...

Optimal Sequenced Route Query with POI Preferences

Privacy-Preserving Polynomial Evaluation over Spatio-Temporal Data on An Untrust...

Exploiting Multi-Source Data for Adversarial Driving Style Representation Learni...

Efficiently Discovering Regions of Interest with User-Defined Score Function

Top-k Closest Pair Queries over Spatial Knowledge Graph

HIFI: Anomaly Detection for Multivariate Time Series with High-order Feature Int...

Efficient Trajectory Contact Query Processing

STMG: Spatial-Temporal Mobility Graph for Location Prediction

Multi-label Classification of Long Text Based on Key-sentences Extraction

Automated Context-aware Phrase Mining from Text Corpora

Generating Contextually Coherent Responses by Learning Structured Vectorized Sem...

Discriminative Feature Adaptation via Conditional Mean Discrepancy for Cross-dom...

CAT-BERT: A Context-Aware Transferable BERT Model for Multi-Turn Machine Reading...

Inferring Deterministic Regular Expression with Unorder and Counting

MACROBERT: Maximizing Certified Region of BERT to Adversarial Word Substitutions

An Interactive NL2SQL Approach With Reuse Strategy

SRecGAN: Pairwise Adversarial Training for Sequential Recommendation

Semi-Supervised Factorization Machines for Review-Aware Recommendation

Combining Meta-path Instances into Graphs for Recommendation

PEEP: A Parallel Execution Engine for Permissioned Blockchain Systems

Redesigning the Sorting Engine for Persistent Memory

A decision support system for heart failure risk prediction based on weighted na...

Inheritance-guided Hierarchical Assignment for Clinical Automatic Diagnosis

An improved dummy generation approach for enhancing user location privacy

Efficient Mining of Outlying Sequential Behavior Patterns

Clustering Mixed-Type Data With Correlation-Preserving Embedding

Beyond Matching: Modeling Two-Sided Multi-Behavioral Sequences For Dynamic Perso...

Self Separation and Misseparation Impact Minimization for Open-Set Domain Adapta...

Partial Modal Conditioned GANs for Multi-modal Multi-label Learning with Arbitra...

Cross-domain error minimization for unsupervised domain adaptation

Unsupervised domain adaptation with unified joint distribution alignment

Relation-aware Alignment Attention Network for Multi-view Multi-label Learning

Learning to Label with Active Learning and Reinforcement Learning

ZH-NER: Chinese Named Entity Recognition with Adversarial Multi-Task Learning an...

Learning the Implicit Semantic Representation on Graph-Structured Data

CIC-FL: Enabling Class Imbalance-aware Clustered Federated Learning over Shifted...

Dirty-Data Impacts on Regression: an Experimental Evaluation

NRCP-Miner: Towards the Discovery of Non-Redundant Co-location Patterns

INDUSTRY SESSION

An Enhanced Convolutional Inference Model with Distillation for Retrieval-based ...

Parasitic Network: Zero-Shot Relation Extraction for Knowledge Graph Populating ...

PHD CONSORTIUM

Semantic Integration of Heterogeneous and Complex Spreadsheet Tables

Tutorials

Multi-Model Data, Query Languages and Processing Paradigms

Lightweight Deep Learning with Model Compression

Discovering Communities over Large Graphs: Algorithms, Applications, and Opportu...

AI Governance: Advanced Urban Computing on Dynamics Prediction and Route Plannin...

Workshops

A Tablet-based Game Tool for Cognition Training of Seniors with Mild Cognitive I...

AntiPhiMBS-Auth: A New Anti-Phishing Model to Mitigate Phishing Attacks in Mobil...

BU-Trace: A Permissionless Mobile System forPrivacy-Preserving Intelligent Conta...

A Novel Road Segment Representation Method for Travel Time Estimation

Approximate Nearest Neighbor Search Using Query-Directed Dense Graph

Privacy Protection for Medical Image Management based on Blockchain

ASQT: An Efficient Index for Queries on Compressed Trajectories

HTF: An Effective Algorithm for Time Series to Recover Missing Blocks

ROPW: An online trajestory compression algorithm

Modeling and Querying Similar Trajectory in Inconsistent Spatial Data

LAA: Inductive Community Detection Algorithm based on Label Aggregation

Ad Click-Through Rate Prediction: A Survey

NREngine: A Graph-Based Query Engine For Network Reachability

An Attention-based Approach to Rule Learning in Large Knowledge Graphs

Hop-constrained Subgraph Query and Summarization on Large Graphs

ESTI: Efficient k-hop Reachability Quering over Large General Directed Graphs

An Embedding-based Approach to Repairing Question Semantics

Activity Organization Queries for Location-Aware Heterogeneous Information Netwo...

Multi-head Attention with Hint Mechanisms for Joint Extraction of Entity and Rel...

Maximum (L, K)-Lasting Cores in Temporal Social Networks

Combining Oversampling with Recurrent Neural Networks for Intrusion Detection