Data Mining and Big Data: 6th International Conference, DMBD 2021, Guangzhou, China, October 20-22, 2021, Proceedings, Part I

by Ying Tan (Editor), Yuhui Shi (Editor), Albert Zomaya (Editor), Hongyang Yan (Editor), Jun Cai (Editor)

Overview

This two-volume set, CCIS 1453 and CCIS 1454, constitutes refereed proceedings of the 6th International Conference on Data Mining and Big Data, DMBD 2021, held in Guangzhou, China, in October 2021. 
The 57 full papers and 28 short papers presented in this two-volume set were carefully reviewed and selected from 258 submissions. The papers present the latest research on advantages in theories, technologies, and applications in data mining and big data. The volume covers many aspects of data mining and big data as well as intelligent computing methods applied to all fields of computer science, machine learning, data mining and knowledge discovery, data science, etc.

Product Details

ISBN-13:	9789811674761
Publisher:	Springer-Verlag New York, LLC
Publication date:	10/30/2021
Series:	Communications in Computer and Information Science , #1453
Sold by:	Barnes & Noble
Format:	eBook
File size:	75 MB
Note:	This product may take a few minutes to download.

Table of Contents

BSMRL: Bribery Selfish Mining with Reinforcement Learning.- The Theoretical Analysis of Multi-dividing Ontology Learning by Rademacher Vector.- A Group Blind Signature Scheme for Privacy Protection of Power Big Data in Smart Grid.- MB Based Multi-dividing Ontology Learning Trick.- Application of LSTM model optimized based on adaptive genetic algorithm in stock forecasting.- A Network based Quantitative Method for the Mining and Visualization of Music Influence.- Research on Off-path Exploits of Network Protocols.- Building A Covert Timing Channel over VoIP via Packet Length.- Bone marrow cell segmentation based on improved U-Net.- An improved unsupervised white blood cell classification  via contrastive learning.- High-altitude pedestrian detection based on improved YOLOv3.- Automatic Identification for Projector Brand and Model Number.- SC-VDM: A Lightweight Smart Contract Vulnerability Detection Model.- Intrusion detection based on GA-XGB Algorithm.- A video axle counting and type recognition method based on improved YOLOv5S.- An anonymous communication scheme between nodes based on pseudonym and bilinear pairing in big data environments.- A Novel Complex Pignistic Belief Transform for Conflict Measure in Complex Evidence Theory.- A secure aggregation routing protocol with authentication and energy-saving on data mining and big data.- Enity relation extraction of industrial robot PHM based on BiLSTM-CRF and multi-head selection.- An Agricultural Traceability Permissioned Blockchain with Privacy-aware.- Trust Evaluation Mechanism of Service Nodes Based on Blockchain.- Irregular Flight Timetable Recovery under COVID-19: An Approach Based on Genetic Algorithm.- A Transfer Learning Method Based on ResNet Model.- Performance Prediction and Fine-grained Resource Provision of Virtual Machines via LightGBM.- A Semantic Retrieval Method Based on the Knowledge Graph of Ethnic Clothing Culture.- Fine-grained Semantic Segmentation of National Costume Grayscale Image Based on Human Parsing.- Named Entity Recognition of Wa Cultural Information Resources Based on Attention Mechanism.- Semantic Similarity Retrieval System Based on The Chinese Minority Dictionary Wa Volume.- Short-term Traffic Condition Prediction based on Multi[1]source Data Fusion.- Chinese Named Entity Recognition Incorporating Multi-scale Features.- Analysis on the Strategies of Information Technology to Improve Autonomous Learning in Higher Vocational English Teaching.- A Data Model Construction Method Based on the Questionnaire Survey.- Automatic Coloring Method for Ethnic Costume Sketch based on Pix2Pix Network.- Multi-Model Fusion Based NOx Emission Prediction For Power Plant Boilers.- Multi-axis industrial robot fault diagnosis model based on improved one-dimensional convolutional neural network.- Prediction of Oil Temperature for Transformers Using Gated Recurrent Unit.- Towards Making More Reliable Cardiotocogram Data Prediction with Limited Expert Knowledge: Exploiting Unlabeled Data with Semi-supervised Boosting Method.- A label propagation algorithm combining eigenvector centrality and label entropy.- MI-HGRU: A Combine Method of Mutual Information and HGRU Neural Network for Boiler NOx Emission Prediction.- An MOEA/D-ACO Algorithm with finite pheromone weights for Bi-objective TTP.- Lightweight Object Tracking Algorithm based on Siamese Network with Efficient Attention.