Advanced Data Mining and Applications : 17th International Conference, ADMA 2021, Sydney, NSW, Australia, February 2–4, 2022, Proceedings, Part II / edited by Bohan Li, Lin Yue, Jing Jiang, Weitong Chen, Xue Li, Guodong Long, Fei Fang, Han Yu.

Format:

Book

Contributor:

Li, Bohan, editor.

Series:

Lecture Notes in Artificial Intelligence, 2945-9141 ; 13088

Language:

English

Subjects (All):

Artificial intelligence.

Computers.

Computer engineering.

Computer networks.

Social sciences--Data processing.

Social sciences.

Artificial Intelligence.

Computing Milieux.

Computer Engineering and Networks.

Computer Application in Social and Behavioral Sciences.

Local Subjects:

Artificial Intelligence.

Computing Milieux.

Computer Engineering and Networks.

Computer Application in Social and Behavioral Sciences.

Physical Description:

1 online resource (430 pages)

Edition:

1st ed. 2022.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2022.

Summary:

This book constitutes the proceedings of the 17th International Conference on Advanced Data Mining and Applications, ADMA 2021, held in Sydney, Australia in February 2022.* The 26 full papers presented together with 35 short papers were carefully reviewed and selected from 116 submissions. The papers were organized in topical sections in Part II named: Pattern mining; Graph mining; Text mining; Multimedia and time series data mining; and Classification, clustering and recommendation. * The conference was originally planned for December 2021, but was postponed to 2022.

Contents:

Intro

Preface

Organization

Contents - Part II

Contents - Part I

Pattern Mining

SMIM Framework to Generalize High-Utility Itemset Mining

1 Introduction

2 Problem Statement

3 Related Work

4 Examples of SMIM

5 Algorithmic Framework for SMIM

5.1 Projection-Based Algorithms

5.2 Tree-Based Algorithms

5.3 SM-Miner Algorithm

5.4 Empirical Observations

References

TKQ: Top-K Quantitative High Utility Itemset Mining

2 Related Work

3 Preliminaries and Problem Definition

4 The TKQ Algorithm

5 Experiments

6 Conclusion

OPECUR: An Enhanced Clustering-Based Model for Discovering Unexpected Rules

2 Background

4 Proposed Method: OPECUR Model

4.1 Generating Association Rule

4.2 Clustering Algorithm

5 Experimental Evaluation

5.1 Experimental Setup

5.2 Experiment 1: Execution Time Comparison

5.3 Experiment 2: Clustering Process Comparison

5.4 Experiment 3: Evaluation of Unexpected Rules

Tourists Profiling by Interest Analysis

2 State of the Art

3 Tourism Movement's Data Model

3.1 Sequences Dataset

3.2 Sequential Rule Mining

3.3 Measure of Interest

3.4 Graph Movement Model

4 Community Detection

4.1 Mainstream Nodes

4.2 Spheres of Influence

4.3 Similarity Measure

4.4 Profiling

5.1 Measure of Interest

5.2 Mainstream Monuments

5.3 Sphere of Influence

5.4 Clustering Analysis

5.5 Discussions

Extracting High Profit Sequential Feature Groups of Products Using High Utility Sequential Pattern Mining

1.1 Opinion Mining (OM) and Sentiment Analysis (SA)

1.2 High Utility Sequential Pattern Mining (HUSPM)

1.3 Problem Definition

1.4 Contributions.

2 Related Work

3 Proposed High Profit Sequential Feature Groups Based on High Utility Sequences (HPSFG_HUS) System

4 Experimental Evaluation

4.1 Dataset and Implementation Details

4.2 Comparison Analysis of HPSFG_HUS System

5 Conclusion and Future Work

Game Achievement Analysis: Process Mining Approach

2.1 Process Mining

2.2 Achievements

4 Data Preparation

4.1 Steam Achievements Extraction

4.2 Conversion to Event Log

4.3 Game Categorization

4.4 Selected Games

4.5 Data Filtering

5 Analysis of Game Achievements

5.1 Typical Playthrough

5.2 Comparing Player Behaviour

5.3 Game Level Analysis

5.4 Noise Detection

6 Discussion

7 Conclusion

A Fast and Accurate Approach for Inferencing Social Relationships Among IoT Objects

2 Problem Formulation and Basic Definitions

2.1 Basic Definitions

2.2 Problem Statement

3 SociRence: The Proposed Approach

4 Experiments

4.1 Datasets Description

4.2 Baselines

4.3 Performance Evaluation

4.4 Effect of ``distance'' and ``duration'' on the Social Structure

5 Related Works

6 Conclusion and Future Work

Graph Mining

A Local Seeding Algorithm for Community Detection in Dynamic Networks

2 Notations

3 Static Seeding by Local Strategy

3.1 Local Seeding Algorithm

3.2 Local Centrality Measuring

3.3 Hybrid Local Centrality Measuring

4 Dynamic Local Seeding

4.1 Updating Local Centrality

4.2 Dynamic Local Seeding Algorithm

5.1 Datasets and Evaluation Metrics

5.2 Experimental Results on Static Networks

5.3 Experimental Results on Dynamic Networks

6 Conclusions

Clique Percolation Method: Memory Efficient Almost Exact Communities.

1 Introduction

3 Algorithm

3.1 Union-Find Structure

3.2 Exact cpm Algorithm

3.3 Memory Efficient cpm Approximation

4 Analysis

5.1 Comparison with the State of the Art

5.2 Memory Gain of the cpmz Algorithm

5.3 cpmz Communities Are Very Close to cpm Communities

6 Conclusion and Discussions

Knowledge Graph Embedding Based on Quaternion Transformation and Convolutional Neural Network

3 Method

3.1 Quaternion Space

3.2 Constructing Quaternions of Entities and Relations

3.3 Convolutional Network Designed

3.4 Definition of Loss Function

4.1 Experimental Setup

4.2 Evaluation Protocol

4.3 Results

4.4 Ablation Study

5 Conclusion

Text-Enhanced Knowledge Graph Representation Model in Hyperbolic Space

3 Methodology

3.1 Entity Annotation

3.2 Textual Context Embedding

3.3 Hyperbolic Space Modeling

3.4 Representation Training

4 Experiment

4.1 DateSet

4.3 Link Prediction

Relations Reconstruction in a Knowledge Graph of a Socioeconomic System

4 Dataset and Preprocessing

4.1 Ontology Construction

4.2 Entity Matching

6 Results

A Knowledge Enabled Data Management Method Towards Intelligent Police Applications

2 Related Concepts and Technologies

2.1 Knowledge Graph

2.2 Ontology

3 SmartHotel Overview

3.1 ShDO

3.2 Knowledge Extraction

3.3 Knowledge Fusion

3.4 Reasoning Rules

4.1 Purpose

4.2 Datasets

4.3 Experimental Results and Analysis

5 Related Work

References.

Text Mining

Sparse Generalized Dirichlet Prior Based Bayesian Multinomial Estimation

2 Preliminary Definitions

3 The Proposed Approach

4 Experimental Results

4.1 Emotion Prediction in Poetry Context

4.2 Modeling the Flow of Emotions Related to Natural Disasters

I Know You Better: User Profile Aware Personalized Dialogue Generation

2.1 Meta-learning

2.2 Personalized Dialogue Generation

3 Personalized Dialogue Generation

3.1 Profile Aware Dialogue Generation

3.2 Sparse Profile Dialogue Generation

4.1 Dataset

4.3 Implementation Details

4.4 Evaluation Metrics

4.5 Evaluation Results

4.6 Case Study

Label-Value Extraction from Documents Using Co-SSL Framework

3 Proposed Co-SSL Label-Value Extraction Framework

3.1 Candidate Extraction

3.2 Candidate Context Extraction

3.3 Data Augmentation

3.4 Semi-supervised Learning for the Co-SSL Framework

3.5 Implementation Details

4 Datasets and Protocols

5 Results and Analysis

Entity Relations Based Pointer-Generator Network for Abstractive Text Summarization

3 Preliminaries

3.1 Pointer-Generator Network

3.2 Graph Attention Network

4 The Proposed Model

4.1 Informative OpenIE Triples Selection Algorithm

4.2 Entity Relations Graph Attention Network

4.3 Entity-Focused Attention Method

5.1 Datasets

5.2 Data Preprocessing

5.3 Impementation Details

5.4 Quantitative Results

5.5 Ablation Studies

Linguistic Dependency Guided Graph Convolutional Networks for Named Entity Recognition

1 Introduction.

3 Model

3.1 BiLSTM-CRF

3.2 GCN

3.3 SDP-BiLSTM-GCN-CRF

4.1 Datasets

4.2 Experiment Setup

5 Analysis

Multimedia and Time Series Data Mining

CS-Siam: Siamese-Type Network Tracking Method with Added Cluster Segmentation

2 Related Works

2.1 Siamese Network Based Trackers

2.2 Image Segmentation Based on Clustering

3 CS-Siam

3.1 Clustering Image Segmentation and Input

3.2 Siamese Network Structure

4.1 Implementation Details

4.2 Dataset

4.3 Comparison Model

4.5 Result on OTB2015

4.6 Result on VOT2018

On Group Theory and Interpretable Time Series Primitives

2 Preliminaries

3 Extracting Shapeoids in SAX

3.1 Lexical Shapeoids

4 Group Theory and Shapeoid Extraction

5 Conclusion and Discussion

Target Detection in Infrared Image of Transmission Line Based on Faster-RCNN

2 Target Detection Algorithm Based on Infrared Image

2.1 Transmission Line Target Detection Algorithm

2.2 Faster-RCNN Structure Parameter Selection Optimization

3 Experiment

3.1 Dataset Establishment

3.2 Analysis of Results

3.3 Experiment

4 Conclusion

Automatic Quality Improvement of Data on the Evolution of 2D Regions

2 Data Quality Improvement

2.1 Creating Quadtree-Based Time Series

2.2 Identifying and Removing Inconsistent Data

3 Experimental Evaluation

3.1 Datasets and Tools

3.2 Quadtree Generation

3.3 Building the Time Series

3.4 Consistent Data Selection

4 Related Work

5 Conclusions and Future Work

Cross-modal Data Linkage for Common Entity Identification

2 Related Work.

Notes:

Includes bibliographical references and index.

Other Format:

Print version: Li, Bohan Advanced Data Mining and Applications

ISBN:

3-030-95408-0

OCLC:

1294932388