Web and Big Data
Springer International Publishing (Verlag)
978-3-030-85895-7 (ISBN)
The 44 full papers presented together with 24 short papers, and 6 demonstration papers were carefully reviewed and selected from 184 submissions. The papers are organized around the following topics: Graph Mining; Data Mining; Data Management; Topic Model and Language Model Learning; Text Analysis; Text Classification; Machine Learning; Knowledge Graph; Emerging Data Processing Techniques; Information Extraction and Retrieval; Recommender System; Spatial and Spatio-Temporal Databases; and Demo.
Graph Mining.- Co-Authorship Prediction Based on Temporal Graph Attention.- Degree-specific Topology Learning for Graph Convolutional Network.- Simplifying Graph Convolutional Networks as Matrix Factorization.- RASP: Graph Alignment through Spectral Signatures.- FANE: A Fusion-based Attributed Network Embedding Framework.- Data Mining.- What Have We Learned from Open Review? .- Unsafe Driving Behavior Prediction for Electric Vehicles.- Resource Trading with Hierarchical Game for Computing-Power Network Market.- Analyze and Evaluate Database-Backed Web Applications with WTool.- Semi-supervised Variational Multi-view Anomaly Detection.- A Graph Attention Network Model for GMV Forecast on Online Shopping Festival.- Suicide Ideation Detection on Social Media during COVID-19 via Adversarial and Multi-task Learning.- Data Management.- An Efficient Bucket Logging for Persistent Memory.- Data Poisoning Attacks on Crowdsourcing Learning.- Dynamic Environment Simulation for Database PerformanceEvaluation.- LinKV: an RDMA-enabled KVS for High Performance and Strict Consistency under Skew.- Cheetah: An Adaptive User-space Cache for Non-volatile Main Memory File Systems.- Topic Model and Language Model Learning.- Chinese Word Embedding Learning with Limited Data.- Sparse Biterm Topic Model for Short Texts.- EMBERT: A Pre-trained Language Model for Chinese Medical Text Mining.- Self-Supervised Learning for Semantic Sentence Matching with Dense Transformer Inference Network.- An Explainable Evaluation of Unsupervised Transfer Learning for Parallel Sentences Mining.- Text Analysis.- Leveraging Syntactic Dependency and Lexical Similarity for Neural Relation Extraction.- A Novel Capsule Aggregation Framework for Natural Language Inference.- Learning Modality-Invariant Features by Cross-Modality Adversarial Network for Visual Question Answering.- Difficulty-controllable Visual Question Generation.- Incorporating Typological Features into Language Selection for Multilingual Neural Machine Translation.- Removing Input Confounder for Translation Quality Estimation via a Causal Motivated Method.- Text Classification.- Learning Refined Features for Open-World Text Classification.- Emotion Classification of Text Based on BERT and Broad Learning System.- Improving Document-level Sentiment Classification with User-Product Gated Network.- Integrating RoBERTa Fine-Tuning and User Writing Styles for Authorship Attribution of Short Texts.- Dependency Graph Convolution and POS Tagging Transferring for Aspect-based Sentiment Classification.- Machine Learning.- DTWSSE: Data Augmentation with a Siamese Encoder for Time Series.- PT-LSTM: Extending LSTM for Efficient processing Time Attributes in Time Series Prediction.- Loss Attenuation for Time Series Prediction Respecting Categories of Values.- PFL-MoE: Personalized Federated Learning Based on Mixture of Experts.- A New Density Clustering Method using Mutual Nearest Neighbor.-
| Erscheinungsdatum | 21.08.2021 |
|---|---|
| Reihe/Serie | Information Systems and Applications, incl. Internet/Web, and HCI | Lecture Notes in Computer Science |
| Zusatzinfo | XXVI, 498 p. 223 illus., 162 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 795 g |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Schlagworte | Applications • Artificial Intelligence • Computer Hardware • Computer Networks • Computer Science • Computer systems • computer vision • conference proceedings • Databases • Data Mining • Education • Engineering • Image Processing • Informatics • Information Retrieval • Internet • learning • machine learning • Mathematics • Network Protocols • Research • Semantics • Signal Processing • Telecommunication Systems |
| ISBN-10 | 3-030-85895-2 / 3030858952 |
| ISBN-13 | 978-3-030-85895-7 / 9783030858957 |
| Zustand | Neuware |
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