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020 _a9783030858964
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024 7 _a10.1007/978-3-030-85896-4
_2doi
050 4 _aQA75.5-76.95
072 7 _aUNH
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072 7 _aUND
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082 0 4 _a025.04
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245 1 0 _aWeb and Big Data
_h[electronic resource] :
_b5th International Joint Conference, APWeb-WAIM 2021, Guangzhou, China, August 23–25, 2021, Proceedings, Part I /
_cedited by Leong Hou U, Marc Spaniol, Yasushi Sakurai, Junying Chen.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aXXVI, 498 p. 223 illus., 162 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
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490 1 _aInformation Systems and Applications, incl. Internet/Web, and HCI,
_x2946-1642 ;
_v12858
505 0 _aGraph 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.-.
520 _aThis two-volume set, LNCS 12858 and 12859, constitutes the thoroughly refereed proceedings of the 5th International Joint Conference, APWeb-WAIM 2021, held in Guangzhou, China, in August 2021. 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.
650 0 _aInformation storage and retrieval systems.
650 0 _aApplication software.
650 0 _aComputer networks .
650 1 4 _aInformation Storage and Retrieval.
650 2 4 _aComputer and Information Systems Applications.
650 2 4 _aComputer Communication Networks.
650 2 4 _aComputer and Information Systems Applications.
700 1 _aU, Leong Hou.
_eeditor.
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700 1 _aSpaniol, Marc.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aSakurai, Yasushi.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aChen, Junying.
_eeditor.
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710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9783030858971
830 0 _aInformation Systems and Applications, incl. Internet/Web, and HCI,
_x2946-1642 ;
_v12858
856 4 0 _uhttps://doi.org/10.1007/978-3-030-85896-4
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