Web and Big Data 1st Edition by Leong Hou U, Marc Spaniol, Yasushi Sakurai, Junying Chen ISBN 9783030858957 3030858952

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Product details:

ISBN 10: 3030858952
ISBN 13: 9783030858957
Author: Leong Hou U, Marc Spaniol, Yasushi Sakurai, Junying Chen

Web and Big Data 1st Edition Table of contents:

1. Co-authorship Prediction Based on Temporal Graph Attention
2. Degree-Specific Topology Learning for Graph Convolutional Network
3. Simplifying Graph Convolutional Networks as Matrix Factorization
4. GRASP: Graph Alignment Through Spectral Signatures
5. FANE: A Fusion-Based Attributed Network Embedding Framework
6. Data Mining
7. What Have We Learned from OpenReview?
8. Unsafe Driving Behavior Prediction for Electric Vehicles
9. Resource Trading with Hierarchical Game for Computing-Power Network Market
10. Analyze and Evaluate Database-Backed Web Applications with WTool
11. Semi-supervised Variational Multi-view Anomaly Detection
12. A Graph Attention Network Model for GMV Forecast on Online Shopping Festival
13. Suicide Ideation Detection on Social Media During COVID-19 via Adversarial and Multi-task Learning
14. Data Management
15. An Efficient Bucket Logging for Persistent Memory
16. Data Poisoning Attacks on Crowdsourcing Learning
17. Dynamic Environment Simulation for Database Performance Evaluation
18. LinKV: An RDMA-Enabled KVS for High Performance and Strict Consistency Under Skew
19. Cheetah: An Adaptive User-Space Cache for Non-volatile Main Memory File Systems
20. Topic Model and Language Model Learning
21. Chinese Word Embedding Learning with Limited Data
22. Sparse Biterm Topic Model for Short Texts
23. EMBERT: A Pre-trained Language Model for Chinese Medical Text Mining
24. Self-supervised Learning for Semantic Sentence Matching with Dense Transformer Inference Network
25. An Explainable Evaluation of Unsupervised Transfer Learning for Parallel Sentences Mining
26. Text Analysis
27. Leveraging Syntactic Dependency and Lexical Similarity for Neural Relation Extraction
28. A Novel Capsule Aggregation Framework for Natural Language Inference
29. Learning Modality-Invariant Features by Cross-Modality Adversarial Network for Visual Question Answering
30. Difficulty-Controllable Visual Question Generation
31. Incorporating Typological Features into Language Selection for Multilingual Neural Machine Translation
32. Removing Input Confounder for Translation Quality Estimation via a Causal Motivated Method
33. Text Classification
34. Learning Refined Features for Open-World Text Classification
35. Emotion Classification of Text Based on BERT and Broad Learning System
36. Improving Document-Level Sentiment Classification with User-Product Gated Network
37. Integrating RoBERTa Fine-Tuning and User Writing Styles for Authorship Attribution of Short Texts
38. Dependency Graph Convolution and POS Tagging Transferring for Aspect-Based Sentiment Classification
39. Machine Learning 1
40. DTWSSE: Data Augmentation with a Siamese Encoder for Time Series
41. PT-LSTM: Extending LSTM for Efficient Processing Time Attributes in Time Series Prediction
42. Loss Attenuation for Time Series Prediction Respecting Categories of Values
43. PFL-MoE: Personalized Federated Learning Based on Mixture of Experts
44. A New Density Clustering Method Using Mutual Nearest Neighbor

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Tags: Leong Hou U, Marc Spaniol, Yasushi Sakurai, Junying Chen, Big Data