Web and Big Data : 5th International Joint Conference, APWeb-WAIM 2021, Guangzhou, China, August 23-25, 2021, Proceedings, Part I / edited by Leong Hou U, Marc Spaniol, Yasushi Sakurai, Junying Chen.

Format:

Book

Contributor:

U, Leong Hou, Editor.

Spaniol, Marc, Editor.

Sakurai, Yasushi, Editor.

Chen, Junying, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 12858

Information Systems and Applications, incl. Internet/Web, and HCI ; 12858

Language:

English

Subjects (All):

Information storage and retrieval systems.

Application software.

Computer networks.

Information Storage and Retrieval.

Computer and Information Systems Applications.

Computer Communication Networks.

Local Subjects:

Information Storage and Retrieval.

Computer and Information Systems Applications.

Computer Communication Networks.

Physical Description:

1 online resource (XXVI, 498 pages) : 223 illustrations, 162 illustrations in color.

Edition:

1st ed. 2021.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2021.

System Details:

text file PDF

Summary:

This two-volume set, LNCS 12858 and 12859, constitutes the thoroughly refereed proceedings of the 5th International Joint Conference, APWeb-WAIM 2021, held in Guangzhou, China, in August 2021. The 44 full papers presented together with 24 short papers, and 6 demonstration papers were carefully reviewed and selected from 184 submissions. The papers are organized around the following topics: Graph Mining; Data Mining; Data Management; Topic Model and Language Model Learning; Text Analysis; Text Classification; Machine Learning; Knowledge Graph; Emerging Data Processing Techniques; Information Extraction and Retrieval; Recommender System; Spatial and Spatio-Temporal Databases; and Demo.

Contents:

Graph Mining

Co-Authorship Prediction Based on Temporal Graph Attention

Degree-specific Topology Learning for Graph Convolutional Network

Simplifying Graph Convolutional Networks as Matrix Factorization

RASP: Graph Alignment through Spectral Signatures

FANE: A Fusion-based Attributed Network Embedding Framework

Data Mining

What Have We Learned from Open Review?

Unsafe Driving Behavior Prediction for Electric Vehicles

Resource Trading with Hierarchical Game for Computing-Power Network Market

Analyze and Evaluate Database-Backed Web Applications with WTool

Semi-supervised Variational Multi-view Anomaly Detection

A Graph Attention Network Model for GMV Forecast on Online Shopping Festival

Suicide Ideation Detection on Social Media during COVID-19 via Adversarial and Multi-task Learning

Data Management

An Efficient Bucket Logging for Persistent Memory

Data Poisoning Attacks on Crowdsourcing Learning

Dynamic Environment Simulation for Database Performance Evaluation

LinKV: an RDMA-enabled KVS for High Performance and Strict Consistency under Skew

Cheetah: An Adaptive User-space Cache for Non-volatile Main Memory File Systems

Topic Model and Language Model Learning

Chinese Word Embedding Learning with Limited Data

Sparse Biterm Topic Model for Short Texts

EMBERT: A Pre-trained Language Model for Chinese Medical Text Mining

Self-Supervised Learning for Semantic Sentence Matching with Dense Transformer Inference Network

An Explainable Evaluation of Unsupervised Transfer Learning for Parallel Sentences Mining

Text Analysis

Leveraging Syntactic Dependency and Lexical Similarity for Neural Relation Extraction

A Novel Capsule Aggregation Framework for Natural Language Inference

Learning Modality-Invariant Features by Cross-Modality Adversarial Network for Visual Question Answering

Difficulty-controllable Visual Question Generation

Incorporating Typological Features into Language Selection for Multilingual Neural Machine Translation

Removing Input Confounder for Translation Quality Estimation via a Causal Motivated Method

Text Classification

Learning Refined Features for Open-World Text Classification

Emotion Classification of Text Based on BERT and Broad Learning System

Improving Document-level Sentiment Classification with User-Product Gated Network

Integrating RoBERTa Fine-Tuning and User Writing Styles for Authorship Attribution of Short Texts

Dependency Graph Convolution and POS Tagging Transferring for Aspect-based Sentiment Classification

Machine Learning

DTWSSE: Data Augmentation with a Siamese Encoder for Time Series

PT-LSTM: Extending LSTM for Efficient processing Time Attributes in Time Series Prediction

Loss Attenuation for Time Series Prediction Respecting Categories of Values

PFL-MoE: Personalized Federated Learning Based on Mixture of Experts

A New Density Clustering Method using Mutual Nearest Neighbor.-.

Other Format:

Printed edition:

ISBN:

978-3-030-85896-4

9783030858964

Access Restriction:

Restricted for use by site license.