Knowledge Science, Engineering and Management : 13th International Conference, KSEM 2020, Hangzhou, China, August 28-30, 2020, Proceedings, Part II / 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 ; 12275

Lecture Notes in Artificial Intelligence, 2945-9141 ; 12275

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 (XX, 484 pages) : 163 illustrations, 123 illustrations in color.

Edition:

1st ed. 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:

Machine Learning

MA-TREX: Multi-agent Trajectory-ranked Reward Extrapolation via Inverse Reinforcement Learning

An Incremental Learning Network Model based on Random Sample Distribution Fitting

Parameter Optimization and Weights Assessment for Evidential Artificial Immune Recognition System

Improving Policy Generalization for Teacher-Student Reinforcement Learning

Recommendation Algorithms and Systems

Towards effective top-k location recommendation for business facility placement

Pairwise-based Hierarchical Gating Networks for Sequential Recommendation

Time-aware Attentive Neural Network for News Recommendation with Long- and Short-Term User Representation

A Time Interval Aware Approach for Session-based Social Recommendation

AutoIDL: Automated Imbalanced Data Learning via Collaborative Filtering

Fusion of Domain Knowledge and Text Features for Query Expansion in Citation Recommendation

Robust Sequence Embedding for Recommendation

Deep Generative Recommendation with Maximizing Reciprocal Rank

Spatio-Temporal Attentive Network for Session-based Recommendation

Social Knowledge Analysis and Management

Category-level Adversarial Network for Cross-Domain Sentiment Classification

Seeds Selection for Influence Maximization Based on Device-to-Device Social Knowledge by Reinforcement Learning

CIFEF: Combining implicit and explicit features for friendship inference in location-based social networks

A Knowledge Enhanced Ensemble Learning Model for Mental Disorder Detection on Social Media

Constrained Viral Marketing in Social Networks

A Multi-source Self-adaptive Transfer Learning Model for Mining Social Links

Text Mining and Document Analysis

Multi-hop Syntactic Graph Convolutional Networks for Aspect-based Sentiment Classification

A Matching-Integration-Verification Model for Multiple-Choice Reading Comprehension

How to interact and change? Abstractive Dialogue Summarization with Dialogue Act Weight and Topic Change Info

Chinese Text Classification via Bidirectional Lattice LSTM

MG-BERT: A Multi-Glosses BERT Model for Word Sense Disambiguation

Top Personalized Reviews Set Selection Based on Subject Aspect Modeling

SCX-SD: Semi-Supervised Method for Contextual Sarcasm Detection

End-to-End Multi-task Learning for Allusion Detection in Ancient Chinese Poems

Defense of Word-level Adversarial Attacks via Random Substitution Encoding

Document-Improved Hierarchical Modular Attention for Event Detection

Fine-tuned Transformer Model for Sentiment Analysis

An Algorithm for Emotion Evaluation and Analysis Based on CBOW

Predicting Crowdsourcing Worker Performance with Knowledge Tracing

Deep Learning

Watermarking neural network with compensation mechanism

Information Diffusion Prediction with Personalized Graph Neural Networks

Relationship-Aware Hard Negative Generation in Deep Metric Learning

Striking a Balance in Unsupervised Fine-grained Domain Adaptation Using Adversarial Learning

Improved Performance of GANs via Integrating Gradient Penalty with Spectral Normalization

Evidential Deep Neural Networks for Uncertain Data Classification

GDCRN: Global Diffusion Convolutional Residual Network for Traffic Flow Prediction

Depthwise Separable Convolutional Neural Network for Confidential Information Analysis

The Short-Term Exit Traffic Prediction of A Toll Station Based on LSTM

Long and Short Term Risk Control for Online Portfolio Selection.

Other Format:

Printed edition:

ISBN:

978-3-030-55393-7

9783030553937

Access Restriction:

Restricted for use by site license.