| Description |
1 online resource (xi, 139 pages) : illustrations (chiefly color) |
| Series |
Communications in computer and information science ; 1709 |
|
Communications in computer and information science ; 1709.
|
| Contents |
Intro -- Preface -- Organization -- Contents -- Searching Similar Trajectories Based on Shape -- 1 Introduction -- 2 Preliminaries -- 3 Align-Based Trajectory Match -- 3.1 Trajectory Preprocessing -- 3.2 Align-Based Trajectory Match -- 3.3 Distance Calculation -- 4 Symbolic Trajectory Match -- 4.1 Symbolic Representation for Trajectory -- 4.2 Symbol Distance Calculation -- 4.3 Multiple Balanced Symbol Trajectory -- 4.4 Query Processing -- 5 Experimental Study -- 5.1 Experiment Setup -- 5.2 Experiment Results -- 6 Related Work -- 6.1 Trajectory Similarity Measurement |
|
6.2 Symbolic Representation -- 7 Conclusion -- References -- Unsupervised Discovery of Disentangled Interpretable Directions for Layer-Wise GAN -- 1 Introduction -- 2 Related Works -- 2.1 Generative Adversarial Networks -- 2.2 Semantic Discovery for GANs -- 2.3 Disentanglement Learning with Orthogonal Regularization -- 3 Methods -- 3.1 Overview -- 3.2 Layer-Wise Semantic Discovering Model -- 3.3 Orthogonal Jacobian Regularization -- 4 Experiments -- 4.1 Experiment Settings -- 4.2 Non-trivial Visual Effects -- 4.3 Comparison -- 4.4 Ablation Studies -- 5 Conclusion -- References |
|
ASNN: Accelerated Searching for Natural Neighbors -- 1 Introduction -- 2 Related Work -- 2.1 K-Nearest Neighbor -- 2.2 Reverse k-Nearest Neighbor -- 2.3 Natural Neighbor -- 3 Proposed Method -- 3.1 Motivation and Theory -- 3.2 Accelerated Search of Natural Neighbors Algorithm -- 3.3 Complexity Analysis -- 4 Experimental Evaluation -- 4.1 Results on Synthetic Datasets -- 4.2 Results on Real-World Datasets -- 5 Conclusions -- References -- A Recommendation Algorithm for Auto Parts Based on Knowledge Graph and Convolutional Neural Network -- 1 Introduction -- 2 Related Work -- 3 Proposed Method |
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3.1 Knowledge Graph -- 3.2 KGCNUI Layer -- 3.3 Learning Algorithm -- 4 Experiment -- 4.1 Datasets -- 4.2 Baselines -- 4.3 Experiments Setup -- 4.4 Results -- 5 Conclusion -- References -- Identifying Urban Functional Regions by LDA Topic Model with POI Data -- 1 Introduction -- 2 Related Works -- 3 Region Functions Based on LDA Topic Model -- 3.1 Problem Statement -- 3.2 Embedded Representation of Blocks -- 3.3 Functional Region Identification -- 4 Experiment -- 4.1 Experimental Settings -- 4.2 Experimental Results and Analysis -- 5 Conclusion -- References |
|
A Data-to-Text Generation Model with Deduplicated Content Planning -- 1 Introduction -- 2 Related Work -- 3 Proposed Model -- 3.1 Word Embedding -- 3.2 Content Planning -- 3.3 Text Generation -- 3.4 Training and Inference -- 4 Experiment -- 4.1 Dataset -- 4.2 Training Configuration -- 5 Conclusion -- References -- Clustering-Enhanced Knowledge Graph Embedding -- 1 Introduction -- 2 Related Work -- 3 Problem Description -- 4 Methodology -- 4.1 KGE Models with Shared Cluster Embeddings -- 4.2 Loss Function -- 5 Experiment -- 5.1 Data Sets -- 5.2 Baseline -- 5.3 Link Prediction |
| Summary |
This book constitutes the refereed proceedings of the 10th CCF Conference on BigData 2022, which took place in Chengdu, China, in November 2022. The 8 full papers presented in this volume were carefully reviewed and selected from 28 submissions. The topics of accepted papers include theories and methods of data science, algorithms and applications of big data |
| Notes |
Selected conference papers |
|
Conference held in hybrid format |
|
Includes author index |
|
Online resource; title from PDF title page (SpringerLink, viewed December 9, 2022) |
| Subject |
Big data -- Congresses
|
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Artificial intelligence -- Congresses
|
|
Artificial intelligence
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Big data
|
| 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.
|
| Form |
Electronic book
|
| Author |
Li, Tianrui, editor.
|
|
Mao, Rui, editor
|
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Wang, Guoyin, 1970- editor
|
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Teng, Fei, editor.
|
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Zhang, Lei, editor
|
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Wang, Li, editor
|
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Cui, Laizhong, editor.
|
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Hu, Jie, editor
|
| ISBN |
9789811983313 |
|
9811983313 |
|
9788981198336 |
|
8981198330 |
|
