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001436460 020__ $$a9783030757656$$q(electronic bk.)
001436460 020__ $$a303075765X$$q(electronic bk.)
001436460 020__ $$z9783030757649$$q(print)
001436460 0247_ $$a10.1007/978-3-030-75765-6$$2doi
001436460 035__ $$aSP(OCoLC)1250275609
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001436460 1112_ $$aPAKDD (Conference)$$n(25th :$$d2021 :$$cOnline)
001436460 24510 $$aAdvances in knowledge discovery and data mining :$$b25th Pacific-Asia Conference, PAKDD 2021, Virtual event, May 11-14, 2021, Proceedings.$$nPart II /$$cKamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R.K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty (eds.).
001436460 2463_ $$aPAKDD 2021
001436460 264_1 $$aCham :$$bSpringer,$$c2021.
001436460 300__ $$a1 online resource (xxvi, 774 pages) :$$billustrations
001436460 336__ $$atext$$btxt$$2rdacontent
001436460 337__ $$acomputer$$bc$$2rdamedia
001436460 338__ $$aonline resource$$bcr$$2rdacarrier
001436460 4901_ $$aLecture notes in artificial intelligence
001436460 4901_ $$aLecture notes in computer science ;$$v12713
001436460 4901_ $$aLNCS sublibrary, SL 7, Artificial intelligence
001436460 500__ $$aIncludes author index.
001436460 5050_ $$aClassical Data Mining, . Mining Frequent Patterns from Hypergraph Databases -- Discriminating Frequent Pattern based Supervised Graph Embedding for Classification -- Mining Sequential Patterns in Uncertain Databases Using Hierarchical Index Structure -- Similarity Forest Revisited: a Swiss Army Knife for Machine Learning -- Discriminative Representation Learning for Cross-domain Sentiment Classification -- SAGCN: Towards Structure-Aware Deep Graph Convolutional Networks on Node Classification -- Hierarchical Learning of Dependent Concepts for Human Activity Recognition -- Improving Short Text Classification Using Context-Sensitive Representations and Content-Aware Extended Topic Knowledge -- A Novel Method for Offline Handwritten Chinese Character Recognition under the Guidance of Print -- Upgraded Attention-based Local FeatureLearning Block for speech emotion recognition -- Memorization in Deep Neural Networks: Does the Loss Function matter -- Gaussian Soft Decision Trees for Interpretable Feature-Based Classification -- Efficient Nodes Representation Learning with Residual Feature Propagation -- Progressive AutoSpeech: An efficient and general framework for automatic speech classification -- CrowdTeacher: Robust Co-teaching with Noisy Answers & Sample-specific Perturbations for Tabular Data -- Effective and Adaptive Multi-metric Refined Similarity Graph Fusion for Multi-view Clustering -- aHCQ: Adaptive Hierarchical Clustering based Quantization Framework for Deep Neural Networks -- Maintaining Consistency with Constraints: a Constrained Deep Clustering method -- Data Mining Theory and Principles -- Towards multi-label Feature selection by Instance and Label Selections -- FARF: A Fair and Adaptive Random Forests Classifier -- Sparse Spectrum Gaussian Process for Bayesian Optimization -- Densely Connected Graph Attention Network based on Iterative Path Reasoning for Document-level Relation Extraction -- Causal Inference Using Global Forecasting Models for Counterfactual Prediction. -CED-BGFN: Chinese Event Detection via Bidirectional Glyph-aware Dynamic Fusion Network -- Learning Finite Automata with Shuffle -- Active Learning based Similarity Filtering for Efficient and Effective Record Linkage -- Stratified Sampling for Extreme Multi-Label Data -- Vertical Federated Learning for Higher-order Factorization Machines -- dK-Projection: Publishing Graph Joint degree distribution with Node Differential Privacy -- Recommender Systems -- Improving Sequential Recommendation with Attribute-augmented Graph Neural Networks -- Exploring Implicit Relationships in Social Network for Recommendation Systems -- Transferable Contextual Bandits with Prior Observations -- Modeling Hierarchical Intents and Selective Current Interest for Session-based Recommendation -- A Finetuned language model for Recommending cQA-QAs for enriching Textbooks -- XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction -- Learning Multiclass Classifier Under Noisy Bandit Feedback -- Diversify or Not: Dynamic Diversification for Personalized Recommendation -- Multi-criteria and Review-based Overall Rating Prediction -- W2FM: The Doubly-Warped Factorization Machine -- Causal Combinatorial Factorization Machines for Set-wise Recommendation -- Transformer-based Multi-task Learning for Queuing Time Aware Next POI Recommendation -- Joint Modeling Dynamic Preferences of Users and Items Using Reviews for Sequential Recommendation -- Box4Rec: Box Embedding for Sequential Recommendation -- UKIRF: An Item Rejection Framework for Improving Negative Items Sampling in One-Class Collaborative Filtering -- IACN: Influence-aware and Attention-based Co-evolutionary Network for Recommendation -- Nonlinear Matrix Factorization via Neighbor Embedding -- Deconfounding representation learning based on user interactions in Recommendation Systems -- Personalized Regularization Learning for Fairer Matrix Factorization -- Instance Selection for Online Updating in Dynamic Recommender Environments -- Text Analytics -- Fusing Essential Knowledge for Text-Based Open-Domain Question Answering. -- TSSE-DMM: Topic Modeling for Short Texts based on Topic Subdivision and Semantic Enhancement -- SILVER: Generating Persuasive Chinese Product Pitch -- Capturing SQL Query Overlapping via SubtreeCopy for Cross-domain Context-dependent SQLGeneration -- HScodeNet: Combining Hierarchical Sequential and Global Spatial Information of Text for Commodity HS Code Classification -- PLVCG: A Pretraining Based Model for Live Video Comment Generation -- Inducing Rich Interaction Structures between Words for Document-level Event Argument Extraction -- Exploiting Relevant Hyperlinks in Knowledge Base for Entity Linking -- TANTP: Conversational Emotion Recognition Using Tree-Based Attention Networks with Transformer Pre-training -- Semantic-syntax Cascade Injection Model for Aspect Sentiment Triple Extraction -- Modeling Inter-Aspect Relationship with Conjunction for Aspect-based Sentiment Analysis.
001436460 506__ $$aAccess limited to authorized users.
001436460 520__ $$aThe 3-volume set LNAI 12712-12714 constitutes the proceedings of the 25th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2021, which was held during May 11-14, 2021. The 157 papers included in the proceedings were carefully reviewed and selected from a total of 628 submissions. They were organized in topical sections as follows: Part I: Applications of knowledge discovery and data mining of specialized data; Part II: Classical data mining; data mining theory and principles; recommender systems; and text analytics; Part III: Representation learning and embedding, and learning from data.
001436460 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed May 10, 2021).
001436460 650_0 $$aData mining$$vCongresses.
001436460 650_0 $$aArtificial intelligence$$vCongresses.
001436460 650_6 $$aExploration de données (Informatique)$$vCongrès.
001436460 650_6 $$aIntelligence artificielle$$vCongrès.
001436460 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001436460 655_7 $$aConference papers and proceedings.$$2lcgft
001436460 655_7 $$aActes de congrès.$$2rvmgf
001436460 655_0 $$aElectronic books.
001436460 7001_ $$aKarlapalem, Kamal,$$eeditor$$0(orcid)0000-0003-2528-7979$$1https://orcid.org/0000-0003-2528-7979
001436460 7001_ $$aCheng, Hong$$c(Engineering teacher),$$eeditor.
001436460 7001_ $$aRamakrishnan, Naren,$$eeditor.
001436460 7001_ $$aAgrawal, R. K.,$$eeditor.
001436460 7001_ $$aReddy, P. Krishna$$q(Polepalli Krishna),$$eeditor$$1https://orcid.org/0000-0003-1238-5174
001436460 7001_ $$aSrivastava, Jaideep,$$eeditor.
001436460 7001_ $$aChakraborty, Tanmoy,$$eeditor$$0(orcid)0000-0002-0210-0369$$1https://orcid.org/0000-0002-0210-0369
001436460 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence.
001436460 830_0 $$aLecture notes in computer science ;$$v12713.
001436460 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence.
001436460 852__ $$bebk
001436460 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-75765-6$$zOnline Access$$91397441.1
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