000 06506nam a22006975i 4500
001 978-3-030-75768-7
003 DE-He213
005 20240730175722.0
007 cr nn 008mamaa
008 210507s2021 sz | s |||| 0|eng d
020 _a9783030757687
_9978-3-030-75768-7
024 7 _a10.1007/978-3-030-75768-7
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aAdvances in Knowledge Discovery and Data Mining
_h[electronic resource] :
_b25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part III /
_cedited by Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aXXIII, 434 p. 142 illus., 117 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v12714
505 0 _aRepresentation Learning and Embedding -- Episode Adaptive Embedding Networks for Few-shot Learning -- Universal Representation for Code -- Self-supervised Adaptive Aggregator Learning on Graph -- A Fast Algorithm for Simultaneous Sparse Approximation -- STEPs-RL: Speech-Text Entanglement for Phonetically Sound Representation Learning -- RW-GCN: Training Graph Convolution Networks with biased random walk for Semi-Supervised Classification -- Loss-aware Pattern Inference: A Correction on the Wrongly Claimed Limitations of Embedding Models -- SST-GNN: Simplified Spatio-temporal Traffic forecasting model using Graph Neural Network -- VIKING: Adversarial Attack on Network Embeddings via Supervised Network Poisoning -- Self-supervised Graph Representation Learning with Variational Inference -- Manifold Approximation and Projection by Maximizing Graph Information -- Learning Attention-based Translational Knowledge Graph Embedding via Nonlinear Dynamic Mapping -- Multi-Grained Dependency Graph Neural Network for Chinese Open Information Extraction -- Human-Understandable Decision Making for Visual Recognition -- LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding -- Transferring Domain Knowledge with an Adviser in Continuous Tasks -- Inferring Hierarchical Mixture Structures: A Bayesian Nonparametric Approach -- Quality Control for Hierarchical Classification with Incomplete Annotations -- Learning from Data -- Learning Discriminative Features using Multi-label Dual Space -- AutoCluster: Meta-learning Based Ensemble Method for Automated Unsupervised Clustering -- BanditRank: Learning to Rank Using Contextual Bandits -- A compressed and accelerated SegNet for plant leaf disease segmentation: A Differential Evolution based approach -- Meta-Context Transformers for Domain-Specific Response Generation -- A Multi-task Kernel Learning Algorithm for Survival Analysis -- Meta-data Augmentation based Search Strategy through Generative Adversarial Network for AutoML Model Selection -- Tree-Capsule: Tree-Structured Capsule Network for Improving Relation Extraction -- Rule Injection-based Generative Adversarial Imitation Learning for Knowledge Graph Reasoning -- Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition -- Reinforced Natural Language Inference for Distantly Supervised Relation Classification -- SaGCN: Structure-aware Graph Convolution Network for Document-level Relation Extraction -- Addressing the class imbalance problem in medical image segmentation via accelerated Tversky loss function -- Incorporating Relational Knowledge in Explainable Fake News Detection -- Incorporating Syntactic Information into Relation Representations for Enhanced Relation Extraction.
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.
650 0 _aArtificial intelligence.
_93407
650 0 _aSocial sciences
_xData processing.
_983360
650 0 _aAlgorithms.
_93390
650 0 _aEducation
_xData processing.
_982607
650 0 _aComputer science
_xMathematics.
_93866
650 0 _aComputer vision.
_9117657
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputer Application in Social and Behavioral Sciences.
_931815
650 2 4 _aDesign and Analysis of Algorithms.
_931835
650 2 4 _aComputers and Education.
_941129
650 2 4 _aMathematics of Computing.
_931875
650 2 4 _aComputer Vision.
_9117658
700 1 _aKarlapalem, Kamal.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9117659
700 1 _aCheng, Hong.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9117660
700 1 _aRamakrishnan, Naren.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9117661
700 1 _aAgrawal, R. K.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9117662
700 1 _aReddy, P. Krishna.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9117663
700 1 _aSrivastava, Jaideep.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9117664
700 1 _aChakraborty, Tanmoy.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9117665
710 2 _aSpringerLink (Online service)
_9117666
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030757670
776 0 8 _iPrinted edition:
_z9783030757694
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v12714
_9117667
856 4 0 _uhttps://doi.org/10.1007/978-3-030-75768-7
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
942 _cELN
999 _c90030
_d90030