Data Mining and Big Data [electronic resource] : 6th International Conference, DMBD 2021, Guangzhou, China, October 20–22, 2021, Proceedings, Part II /

A life prediction method for power supply in rail transit signal system under variable temperature conditions -- Hypergraph Ontology Sparse Vector Representation and Its Application to Ontology Learning -- On-line Firmware Updating and Fingerprint Generating for Solid State Disks -- Feature Map Transfer: Vertical Federated Learning for CNN Models -- A Random Multi-target Backdooring Attack on Deep Neural Networks -- Intelligent Attack Behavior Portrait For Path Planning Of Unmanned Vehicles -- Anti Intelligent Mine Unmanned Ground Vehicle Based on Reinforcement Learning -- A surface fitting image super-resolution algorithm based on triangle mesh partition -- Image Definition Evaluation Function Based on Improved Maximum Local Variation and Focusing Window Selection -- A classic multi-method collaborative obfuscation strategy -- The construction of knowledge graph for personalized online teaching -- A BP neural network prediction method based on multi-strategy improved sparrow search algorithm -- LDA topic mining of light food customer reviews on the Meituan platform -- MIFNet:A Lightweight Multi-scale Information Fusion Network -- Intrusion Detection Method Based on Small Sample Learning -- Research on Hierarchical Retrieval Method of Ethnic Clothing Based on Semantic Feature Fusion -- An Improved Method of Blockchain Consortium Chain Consensus Mechanism Based on Random Forest Model -- Traceable Identity-Based Ring Signature for Protecting Mobile IoT Devices -- BSO-CMA-ES: Brain Storm Optimization Based Covariance Matrix Adaptation Evolution Strategy for Multimodal Optimization -- A Generalized χ2 Divergence for Multisource Information Fusion -- Certificateless proxy authentication scheme on lattices under the background of big data -- A Privacy-Preserving Anime Recommendation Method on Distributed Platform -- Compound fault diagnosis of industrial robot based on improved multi-label one-dimensional convolutional neural network -- A Class Imbalance Monitoring Model for Fetal Heart Contractions Based on Gradient Boosting Decision Tree Ensemble Learning -- A lattice-based anonymous authentication for privacy protection of medical data -- Defend against poisoning attacks in federated learning -- SOBC: A Smart Ocean Oriented Blockchain System for Cross-organizational Data Sharing -- Personalized Recommendation System of Web Academic Information Based on Big Data and Quality Monitoring Technology -- Population Learning based Memetic Algorithm for Community Detection in Complex Networks -- An Improved Bacterial Foraging Optimization for Global Optimization -- A security data sharing model for cloud network -- A Dynamic Compression Method for Database Backup Files in Cloud Environments -- Research on Fault Detection and Diagnosis Method of Diesel Engine Air System Based on Deep Learning -- A Multi-objective Structure Variant Bacterial Heuristic Feature Selection Method in High-dimensional Data Classification -- FAA Transition Away From Radar and Towards ADS-B Aircraft Communication-Based on Accuracy -- A New Contingency Axiomatic System For Rough sets -- Health index construction and remaining useful life prediction of mechanical axis based on action cycle similarity -- Approximation Relation For Rough Sets -- The effect of organizational learning ability on innovative behavior of scientific research personnel in universities -- ABAC: Anonymous Bilateral Access Control Protocol with Traceability for Fog-Assisted Mobile Crowdsensing -- Sector Error-Oriented Durability-Aware Fast Repair in Erasure-Coded Cloud Storage Systems -- ACT: anonymous consensus based on Tor -- Medical Image Fusion Based on Undecimated Dual-tree Complex Wavelet Transform and NSCT -- A Multi-branch Ensemble Agent Network for Multi-Agent Reinforcement Learning.

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.