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Data Mining and Big Data: 6th International Conference, DMBD 2021, Guangzhou, China, October 2022, 2021, Proceedings, Part I 1st ed. 2021 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 501 pages, height x width: 235x155 mm, weight: 789 g, 76 Illustrations, black and white; XVIII, 501 p. 76 illus., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 1453
  • Izdošanas datums: 31-Oct-2021
  • Izdevniecība: Springer Verlag, Singapore
  • ISBN-10: 9811674752
  • ISBN-13: 9789811674754
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Data Mining and Big Data: 6th International Conference, DMBD 2021, Guangzhou, China, October 2022, 2021, Proceedings, Part I 1st ed. 2021Palielināt
  • Formāts: Paperback / softback, 501 pages, height x width: 235x155 mm, weight: 789 g, 76 Illustrations, black and white; XVIII, 501 p. 76 illus., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 1453
  • Izdošanas datums: 31-Oct-2021
  • Izdevniecība: Springer Verlag, Singapore
  • ISBN-10: 9811674752
  • ISBN-13: 9789811674754
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9789811674754.html
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.

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.