Knowledge Science, Engineering and Management : 13th International Conference, KSEM 2020, Hangzhou, China, August 28-30, 2020, Proceedings, Part I / edited by Gang Li, Heng Tao Shen, Ye Yuan, Xiaoyang Wang, Huawen Liu, Xiang Zhao.

Format:

Book

Contributor:

Li, Gang, Editor.

Shen, Heng Tao, Editor.

Yuan, Ye, Editor.

Wang, Xiaoyang, Editor.

Liu, Huawen, Editor.

Zhao, Xiang, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 12274

Lecture Notes in Artificial Intelligence, 2945-9141 ; 12274

Language:

English

Subjects (All):

Artificial intelligence.

Application software.

Social sciences-Data processing.

Data mining.

Database management.

Information technology-Management.

Artificial Intelligence.

Computer and Information Systems Applications.

Computer Application in Social and Behavioral Sciences.

Data Mining and Knowledge Discovery.

Database Management.

Computer Application in Administrative Data Processing.

Local Subjects:

Artificial Intelligence.

Computer and Information Systems Applications.

Computer Application in Social and Behavioral Sciences.

Data Mining and Knowledge Discovery.

Database Management.

Computer Application in Administrative Data Processing.

Physical Description:

1 online resource (XXVI, 510 pages) : 202 illustrations, 116 illustrations in color.

Edition:

1st edition 2020.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2020.

System Details:

text file PDF

Summary:

This two-volume set of LNAI 12274 and LNAI 12275 constitutes the refereed proceedings of the 13th International Conference on Knowledge Science, Engineering and Management, KSEM 2020, held in Hangzhou, China, in August 2020.* The 58 revised full papers and 27 short papers were carefully reviewed and selected from 291 submissions. The papers of the first volume are organized in the following topical sections: knowledge graph; knowledge representation; knowledge management for education; knowledge-based systems; and data processing and mining. The papers of the second volume are organized in the following topical sections: machine learning; recommendation algorithms and systems; social knowledge analysis and management; text mining and document analysis; and deep learning. *The conference was held virtually due to the COVID-19 pandemic.

Contents:

Knowledge Graph

Event-centric Tourism Knowledge Graph - A Case Study of Hainan

Extracting Short Entity Descriptions for Open-World Extension to Knowledge Graph Completion Models

Graph Embedding Based on Characteristic of Rooted Subgraph Structure

Knowledge Graphs Meet Geometry for Semi-supervised Monocular Depth Estimation

Topological Graph Representation Learning on Property Graph

Measuring Triplet Trustworthiness in Knowledge Graphs via Expanded Relation Detection

A Contextualized Entity Representation for Knowledge Graph Completion

A Dual Fusion Model for Attributed Network Embedding

Attention-based Knowledge Tracing with Heterogeneous Information Network Embedding

Knowledge Representation

Detecting Statistically Significant Events in Large Heterogeneous Attribute Graphs via Densest Subgraphs

Edge Features Enhanced Graph Attention Network for Relation Extraction

MMEA: Entity Alignment for Multi-Modal Knowledge Graph

A Hybrid Model with Pre-trained Entity-Aware Transformer for Relation Extraction

NovEA: A Novel Model of Entity Alignment Using Attribute Triples and Relation Triples

A Robust Representation with Pre-Trained Start and End Characters Vectors for Noisy Word Recognition

Intention Multiple-representation Model for Logistics Intelligent Customer Service

Identifying Loners from Their Project Collaboration Records - A Graph-based Approach

Node Embedding over Attributed Bipartite Graphs

FastLogSim: A quick log pattern parser scheme based on text similarity

Knowledge Management for Education

Robotic Pushing and Grasping Knowledge Learning via Attention Deep Q-Learning Network

A Dynamic Answering Path based Fusion Model for KGQA

Improving Deep Item-based Collaborative Filtering with Bayesian Personalized Ranking for MOOC Course Recommendation

Online Programming Education Modeling and Knowledge Tracing

Enhancing Pre-Trained Language Models by Self-Supervised Learning for Story Cloze Test

MOOCRec: An Attention Meta-path Based Model for Top-K Recommendation in MOOC

Knowledge-based Systems

PVFNet: Point-view fusion network for 3D shape recognition

HEAM: Heterogeneous Network Embedding with Automatic Meta-path Construction

A Graph Attentive Network Model for P2P Lending Fraud Detection

An Empirical Study on Recent Graph Database Systems

Bibliometric Analysis of Twitter Knowledge management publications related to Health Promotion

Automatic cerebral artery system labeling using registration and key points tracking

Page-level handwritten word spotting via discriminative feature learning

NADSR: A Network Anomaly Detection Scheme based on Representation

A Knowledge-based Scheduling Method for Multi-Satellite Range System

IM-Net: Semantic Segmentation Algorithm for Medical Images Based on Mutual Information Maximization

Data Processing and Mining

Fast Backward Iterative Laplacian Score for Unsupervised Feature Selection

Improving Low-Resource Chinese Event Detection with Multi-Task Learning

Feature Selection Using Sparse Twin Support Vector Machine with correntropy-induces loss

Customized Decision Tree for Fat Multi-resolution Chart Patterns Classification

Predicting user influence in the propagation of toxic information

Extracting Distinctive Shapelets with Random Selection for Early Classification

Butterfly-Based Higher-Order Clustering on Bipartite Networks

Learning Dynamic Pricing Rules for Flight Tickets.

Other Format:

Printed edition:

ISBN:

978-3-030-55130-8

9783030551308

Access Restriction:

Restricted for use by site license.