Advanced Data Mining and Applications : 16th International Conference, ADMA 2020, Foshan, China, November 12-14, 2020, Proceedings / edited by Xiaochun Yang, Chang-Dong Wang, Md. Saiful Islam, Zheng Zhang.

Format:

Book

Contributor:

Yang, Xiaochun, Editor.

Wang, Chang-Dong, Editor.

Islam, Md Saiful, Editor.

Zhang, Zheng, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 12447

Lecture Notes in Artificial Intelligence, 2945-9141 ; 12447

Language:

English

Subjects (All):

Artificial intelligence.

Application software.

Database management.

Computer science-Mathematics.

Computer science.

Artificial Intelligence.

Computer and Information Systems Applications.

Database Management.

Mathematics of Computing.

Theory of Computation.

Local Subjects:

Artificial Intelligence.

Computer and Information Systems Applications.

Database Management.

Mathematics of Computing.

Theory of Computation.

Physical Description:

1 online resource (XV, 670 pages) : 241 illustrations, 165 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 book constitutes the proceedings of the 16th International Conference on Advanced Data Mining and Applications, ADMA 2020, held in Foshan, China in November 2020. The 35 full papers presented together with 14 short papers papers were carefully reviewed and selected from 96 submissions. The papers were organized in topical sections named: Machine Learning; Text Mining; Graph Mining; Predictive Analytics; Recommender Systems; Privacy and Security; Query Processing; Data Mining Applications.

Contents:

Machine Learning

Subspace-Weighted Consensus Clustering for High-Dimensional Data

NOV-RSI: A Novel Optimization Algorithm for Mining Rare Significance Itemsets

MSPP: A Highly Efficient and Scalable Algorithm for Mining Similar Pairs of Points

Discovering High Utility Itemsets Using Set-Based Particle Swarm Optimization

SS-AOE: Subspace based classification framework for avoiding over-confident errors

Inuence Maximization based Active Learning in Noisy Setting

Text Mining

DGRL: Text Classification with Deep Graph Residual Learning

Densely Connected Bidirectional LSTM With Max-pooling of CNN Network for Text Classification

A Context-aware Computing Method of Sentence Similarity Based on Frame Semantics

Learning the Concept Embeddings of Ontology

ATextCNN Model: A New Multi-Classification Method for Police Situation

Hierarchical and Pairwise Document Embedding for Plagiarism Detection

Graph Mining

Evolutionary strategy for graph embedding

D2NE: Deep Dynamic Network Embedding

Elaborating the Bayesian Priors in Unsupervised Graph Embedding via Graph Concepts

Tuser3: A profile matching based algorithm across three heterogeneous social networks

Encrypted Traffic Classification using Graph Convolutional Networks

Representing EHRs with Temporal Tree and Sequential Pattern Mining for Similarity Computing

Research of Medical Aided Diagnosis System Based on Temporal Knowledge Graph

TOP-R Keyword-Aware Community Search

Online Community Identification Over Heterogeneous Attributed Directed Graphs

Predictive Analytics MPB: Multi-Peak Binarization for Pupil Detection

Rice Leaf Diseases Recognition using Convolutional Neural Networks

STCNet: Spatial-Temporal Convolution Network for Traffic Speed Prediction

Discriminative Features Generation for Mortality Prediction in ICU

Pre-trained StyleGAN based data augmentation for small sample brain CT motion artifacts detection

Motion Artifacts Detection from Computed Tomography Images

Loners stand out. Identification of anomalous subsequences based on group performance

Brain CT Image Augmentation based on PGGAN and FBP for Artifact Detection

Recursive RNN based Shift Representation Learning for Dynamic User-Item Interaction Prediction

Computational methods for predicting Autism Spectrum Disorder from gene expression data

Recommender Systems

Declarative User-Item Profiling Based Context-Aware Recommendation

HisRec: Bridging Heterogeneous Information Spaces for Recommendation via Attentive Embedding

A Neighbor-aware Group Recommendation Algorithm

Cross Product And Attention Based Deep Neural Collaborative Filtering

Privacy and Security

Blockchain-based Privacy Preserving Trust Management Model in VANET

SecureRec: Privacy-Preserving Recommendation with Distributed Matrix Factorization

Query Processing

Optimizing Scoring and Sorting Operations for Faster WAND Processing

Query-Based Recommendation by HIN Embedding with PRE-LSTM

Data Mining Applications

Applications of Big Data in Tourism: A Survey

High-quality Plane Wave Compounding using Deep Learning for Hand-held Ultrasound Devices

IPMM: Cancer Subtype Clustering Model Based on Multiomics Data and Pathway and Motif Information

Personal Health Index based on Residential Health Examination

Decision support system for acupuncture treatment of ischemic stroke

Detecting Topic and Sentiment Dynamics Due to COVID-19 Pandemic Using Social Media

FabricGene: A higher-level feature representation of fabric patterns for nationality classification

Low-Light Image Enhancement With Color Transfer Based On Local Statistical Feature

Role-aware Enhanced Matching Network for Multi-Turn Response Selection in Customer Service Chatbots.

Other Format:

Printed edition:

ISBN:

978-3-030-65390-3

9783030653903

Access Restriction:

Restricted for use by site license.