Advances in Knowledge Discovery and Data Mining : 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part II / edited by Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty.

Format:

Book

Contributor:

Karlapalem, Kamal., Editor.

Cheng, Hong., Editor.

Ramakrishnan, Naren, Editor.

Agrawal, R. K., Editor.

Reddy, P. Krishna., Editor.

Srivastava, Jaideep, Editor.

Chakraborty, Tanmoy, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 12713

Lecture Notes in Artificial Intelligence ; 12713

Language:

English

Subjects (All):

Artificial intelligence.

Social sciences-Data processing.

Education-Data processing.

Application software.

Image processing-Digital techniques.

Computer vision.

Artificial Intelligence.

Computer Application in Social and Behavioral Sciences.

Computers and Education.

Computer and Information Systems Applications.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Local Subjects:

Artificial Intelligence.

Computer Application in Social and Behavioral Sciences.

Computers and Education.

Computer and Information Systems Applications.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Physical Description:

1 online resource (XXVI, 774 pages) : 30 illustrations

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:

The 3-volume set LNAI 12712-12714 constitutes the proceedings of the 25th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2021, which was held during May 11-14, 2021. The 157 papers included in the proceedings were carefully reviewed and selected from a total of 628 submissions. They were organized in topical sections as follows: Part I: Applications of knowledge discovery and data mining of specialized data; Part II: Classical data mining; data mining theory and principles; recommender systems; and text analytics; Part III: Representation learning and embedding, and learning from data.

Contents:

Classical Data Mining,. Mining Frequent Patterns from Hypergraph Databases

Discriminating Frequent Pattern based Supervised Graph Embedding for Classification

Mining Sequential Patterns in Uncertain Databases Using Hierarchical Index Structure

Similarity Forest Revisited: a Swiss Army Knife for Machine Learning

Discriminative Representation Learning for Cross-domain Sentiment Classification

SAGCN: Towards Structure-Aware Deep Graph Convolutional Networks on Node Classification

Hierarchical Learning of Dependent Concepts for Human Activity Recognition

Improving Short Text Classification Using Context-Sensitive Representations and Content-Aware Extended Topic Knowledge

A Novel Method for Offline Handwritten Chinese Character Recognition under the Guidance of Print

Upgraded Attention-based Local FeatureLearning Block for speech emotion recognition

Memorization in Deep Neural Networks: Does the Loss Function matter

Gaussian Soft Decision Trees for Interpretable Feature-Based Classification

Efficient Nodes Representation Learning with Residual Feature Propagation

Progressive AutoSpeech: An efficient and general framework for automatic speech classification

CrowdTeacher: Robust Co-teaching with Noisy Answers and Sample-specific Perturbations for Tabular Data

Effective and Adaptive Multi-metric Refined Similarity Graph Fusion for Multi-view Clustering

aHCQ: Adaptive Hierarchical Clustering based Quantization Framework for Deep Neural Networks

Maintaining Consistency with Constraints: a Constrained Deep Clustering method

Data Mining Theory and Principles

Towards multi-label Feature selection by Instance and Label Selections

FARF: A Fair and Adaptive Random Forests Classifier

Sparse Spectrum Gaussian Process for Bayesian Optimization

Densely Connected Graph Attention Network based on Iterative Path Reasoning for Document-level Relation Extraction

Causal Inference Using Global Forecasting Models for Counterfactual Prediction. -CED-BGFN: Chinese Event Detection via Bidirectional Glyph-aware Dynamic Fusion Network

Learning Finite Automata with Shuffle

Active Learning based Similarity Filtering for Efficient and Effective Record Linkage

Stratified Sampling for Extreme Multi-Label Data

Vertical Federated Learning for Higher-order Factorization Machines

dK-Projection: Publishing Graph Joint degree distribution with Node Differential Privacy

Recommender Systems

Improving Sequential Recommendation with Attribute-augmented Graph Neural Networks

Exploring Implicit Relationships in Social Network for Recommendation Systems

Transferable Contextual Bandits with Prior Observations

Modeling Hierarchical Intents and Selective Current Interest for Session-based Recommendation

A Finetuned language model for Recommending cQA-QAs for enriching Textbooks

XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction

Learning Multiclass Classifier Under Noisy Bandit Feedback

Diversify or Not: Dynamic Diversification for Personalized Recommendation

Multi-criteria and Review-based Overall Rating Prediction

W2FM: The Doubly-Warped Factorization Machine

Causal Combinatorial Factorization Machines for Set-wise Recommendation

Transformer-based Multi-task Learning for Queuing Time Aware Next POI Recommendation

Joint Modeling Dynamic Preferences of Users and Items Using Reviews for Sequential Recommendation

Box4Rec: Box Embedding for Sequential Recommendation

UKIRF: An Item Rejection Framework for Improving Negative Items Sampling in One-Class Collaborative Filtering

IACN: Influence-aware and Attention-based Co-evolutionary Network for Recommendation

Nonlinear Matrix Factorization via Neighbor Embedding

Deconfounding representation learning based on user interactions in Recommendation Systems

Personalized Regularization Learning for Fairer Matrix Factorization

Instance Selection for Online Updating in Dynamic Recommender Environments

Text Analytics

Fusing Essential Knowledge for Text-Based Open-Domain Question Answering. - TSSE-DMM: Topic Modeling for Short Texts based on Topic Subdivision and Semantic Enhancement

SILVER: Generating Persuasive Chinese Product Pitch

Capturing SQL Query Overlapping via SubtreeCopy for Cross-domain Context-dependent SQLGeneration

HScodeNet: Combining Hierarchical Sequential and Global Spatial Information of Text for Commodity HS Code Classification

PLVCG: A Pretraining Based Model for Live Video Comment Generation

Inducing Rich Interaction Structures between Words for Document-level Event Argument Extraction

Exploiting Relevant Hyperlinks in Knowledge Base for Entity Linking

TANTP: Conversational Emotion Recognition Using Tree-Based Attention Networks with Transformer Pre-training

Semantic-syntax Cascade Injection Model for Aspect Sentiment Triple Extraction

Modeling Inter-Aspect Relationship with Conjunction for Aspect-based Sentiment Analysis.

Other Format:

Printed edition:

ISBN:

978-3-030-75765-6

9783030757656

Access Restriction:

Restricted for use by site license.