Advanced Data Mining and Applications : 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28-30, 2022, Proceedings, Part I / edited by Weitong Chen, Lina Yao, Taotao Cai, Shirui Pan, Tao Shen, Xue Li.

Format:

Book

Contributor:

Chen, Weitong, Editor.

Yao, Lina, Editor.

Cai, Taotao., Editor.

Pan, Shirui., Editor.

Shen, Tao, Editor.

Li, Xue, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 13725

Lecture Notes in Artificial Intelligence, 2945-9141 ; 13725

Language:

English

Subjects (All):

Artificial intelligence.

Database management.

Data mining.

Social sciences-Data processing.

Data structures (Computer science).

Information theory.

Artificial Intelligence.

Database Management.

Data Mining and Knowledge Discovery.

Computer Application in Social and Behavioral Sciences.

Data Structures and Information Theory.

Local Subjects:

Artificial Intelligence.

Database Management.

Data Mining and Knowledge Discovery.

Computer Application in Social and Behavioral Sciences.

Data Structures and Information Theory.

Physical Description:

1 online resource (XXII, 537 pages) : 172 illustrations, 143 illustrations in color.

Edition:

1st ed. 2022.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2022.

System Details:

text file PDF

Summary:

The two-volume set LNAI 13725 and 13726 constitutes the proceedings of the 18th International Conference on Advanced Data Mining and Applications, ADMA 2022, which took place in Brisbane, Queensland, Australia, in November 2022. The 72 papers presented in the proceedings were carefully reviewed and selected from 198 submissions. The contributions were organized in topical sections as follows: Finance and Healthcare; Web and IoT Applications; On-device Application; Other Applications; Pattern Mining; Graph Mining; Text Mining; Image, Multimedia and Time Series Data Mining; Classification, Clustering and Recommendation; Multi-objective, Optimization, Augmentation, and Database; and Others.

Contents:

Finance and Healthcare

Application of Supplemental Sampling and Interpretable AI in Credit Scoring for Canadian Fintechs: Methods and Case Studies

A Deep Convolutional Autoencoder-based Approach for Parkinson's Disease Diagnosis Through Speech Signals

Mining the Potential Relationships Between Cancer Cases and Industrial Pollution Based on High-influence Ordered-pair Patterns

Finding Hidden Relationships Between Medical Concepts By Leveraging Metamap And Text Mining Techniques

Causality Discovery Based on Combined Causes and Multiple Causes in Drug-drug Interaction

An Integrated Medical Recommendation Mechanism Combining Promote Product Singular Value Decomposition and Knowledge Graph

Web and IoT Applications

Joint Extraction of Entities and Relations in The News Domain

Event Detection From Web Data in Chinese Based on Bi-LSTM with Attention

Sentiment Analysis of Tweets Using Deep Learning

Cyber Attack Detection in IoT Networks with Small Samples: Implementation and Analysis

SATB: A Testbed of IoT-based Smart Agriculture Network for Dataset Generation

An Overview on Reducing Social Networks' Size

AuCM: Course Map Data Analytics for Australian IT Programs in Higher Education

Profit Maximization using Social Networks in Two-Phase Setting

On-device Application

SESA: Fast Trajectory Compression Method Using Sub-trajectories Segmented by Stay Areas

Android Malware Detection Based on Stacking and Multi-feature Fusion

In uential Billboard Slot Selection using Pruned Submodularity Graph

Quantifying Association Between Street-Level Urban Features and Crime Distribution Around Manhattan Subway Entrances

The Coherence and Divergence Between the Objective and Subjective Measurements of Street Perceptions for Shanghai

Other Applications

A Comparative Study of Question Answering over Knowledge Bases

A Deep Learning Framework for Removing Bias from Single-Photon Emission Computerized Tomography

Popularity Forecasting for Emerging Research Topics at its Early Stage of Evolution

Positive Unlabeled Learning by Sample Selection and Prototype Refinement

Handling missing data with Markov boundary

Pattern Mining

An Efficient Method for outlying Aspect Mining based on Genetic Algorithm

Effective Mining of Contrast Hybrid Patterns from Nominal-numerical Mixed Data

TPFL: Test Input Prioritization for Deep Neural Networks Based on Fault Localization

Mining Maximal Sub-prevalent Co-location Patterns Based on k-hop

An Association Rule Mining-Based Framework for the Discovery of Anomalous Behavioral Patterns

Mining E-closed High Utility Co-location Patterns From Spatial Data

Graph Mining

Implementation and Analysis of Centroid Displacement based k-Nearest Neighbors

EvAnGCN: Evolving Graph Deep Neural Network Based Anomaly Detection in Blockchain

Deterministic Graph-Walking Program Mining

A Benchmarking Evaluation of Graph Neural Networks on Traffic Speed Prediction

Multi-view Gated Graph Convolutional Network for Aspect-Level Sentiment Classification

Decentralized Graph Processing for Reachability Queries

Being Automated or Not? Risk Identification of Occupations with Graph Neural Networks.

Other Format:

Printed edition:

ISBN:

978-3-031-22064-7

9783031220647

Access Restriction:

Restricted for use by site license.