Description |
1 online resource (xxiv, 437 pages) : illustrations (chiefly color) |
Series |
Communications in computer and information science ; 1628 |
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Communications in computer and information science ; 1628.
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Contents |
Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Big Data Mining and Knowledge Management -- Self-attention Based Multimodule Fusion Graph Convolution Network for Traffic Flow Prediction -- 1 Introduction -- 2 Spatiotemporal Prediction in Deep Learning -- 2.1 Time Correlation Research -- 2.2 Time Correlation Research -- 3 Prediction Model of Traffic Flow Based on Multi-module Fusion -- 3.1 Model Frame Diagram -- 3.2 Space-Time Decoupling -- 3.3 Spatial Convolution -- 3.4 Spatial Self-attention -- 3.5 Temporal Convolution -- 3.6 Time Self-attention |
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3.7 Information Fusion and GRU -- 4 Experimental Analysis -- 4.1 Dataset -- 4.2 Analysis of Results -- 5 Conclusion -- References -- Data Analyses and Parallel Optimization of the Tropical-Cyclone Coupled Numerical Model -- 1 Introduction -- 1.1 A Subsection Sample -- 2 Model Setup -- 2.1 Atmospheric Model Setup -- 2.2 Hydrodynamic Model Setup -- 2.3 Ocean Wave Model Setup -- 2.4 HPC Facilities -- 2.5 Coupled Variables -- 3 Scaling Experiments -- 3.1 Parallel Tests Analysis -- 3.2 SWAN Model Parallel Algorithm Optimization -- 3.3 Ocean Model Grid Optimization -- 4 Parallel Test Results |
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5 Model Results Discussion -- 6 Conclusion -- References -- Factorization Machine Based on Bitwise Feature Importance for CTR Prediction -- 1 Introduction -- 2 Related Work -- 3 Our Approach -- 3.1 Embedding Layer -- 3.2 Learning -- 4 Experiments -- 4.1 Experimental Settings -- 4.2 Hyperparameter Study -- 4.3 Ablation Study -- 4.4 Performance Comparison -- 5 Conclusion -- References -- Focusing on the Importance of Features for CTR Prediction -- 1 Introduction -- 2 ECABiNet Model -- 2.1 Sparse Input and Embedding Layer -- 2.2 Layer Norm -- 2.3 ECANET Layer -- 2.4 Feature Cross Layer |
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2.5 DNN Layer -- 2.6 Output -- 3 Experiment -- 3.1 Experimental Setup -- 3.2 LayerNorm Effect Comparison -- 3.3 Comparison of the Effects of Different Attention Modules -- 3.4 Comparison of the Classic Model -- 3.5 Study HyperParameter -- 4 Related Work -- 5 Conclusions -- References -- Active Anomaly Detection Technology Based on Ensemble Learning -- 1 Introduction -- 2 Problem Statement -- 3 Proposed Model -- 3.1 Supervised Ensemble Learning Model -- 3.2 Human Participation -- 3.3 Model Self-training -- 3.4 Experiment -- 3.5 Conclusion -- References |
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Automatic Generation of Graduation Thesis Comments Based on Multilevel Analysis -- 1 Introduction -- 2 Technical Principle -- 2.1 BERT Model Introduced -- 2.2 Basic Structure of the BERT Model -- 2.3 Comparison with Other Algorithms -- 3 Project Analysis -- 3.1 Technical Route -- 3.2 Technical Analysis -- 4 Project Implementation -- 4.1 Database Established Modification -- 4.2 Student Information Input -- 4.3 Neural Network Training -- 4.4 Automatically Generate Comments -- 5 Conclusion -- References -- A Survey of Malware Classification Methods Based on Data Flow Graph -- 1 Introduction |
Summary |
This two volume set (CCIS 1628 and 1629) constitutes the refereed proceedings of the 8th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2022 held in Chengdu, China, in August, 2022. The 65 full papers and 26 short papers presented in these two volumes were carefully reviewed and selected from 261 submissions. The papers are organized in topical sections on: Big Data Mining and Knowledge Management; Machine Learning for Data Science; Multimedia Data Management and Analysis |
Notes |
International conference proceedings |
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Includes author index |
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Online resource; title from PDF title page (SpringerLink, viewed August 19, 2022) |
Subject |
Data mining -- Congresses
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Big data -- Congresses
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Big data
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Data mining
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Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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Form |
Electronic book
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Author |
Wang, Yang, editor
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Zhu, Guobin, 1981- editor.
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Han, Qilong, editor
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Wang, Hongzhi, editor
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Song, Xianhua, editor
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Lu, Zeguang, editor
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ISBN |
9789811951947 |
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9811951942 |
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