LEADER 06334nam 22007935 450 001 996534464303316 005 20230526091243.0 010 $a3-031-33380-2 024 7 $a10.1007/978-3-031-33380-4 035 $a(MiAaPQ)EBC30552975 035 $a(Au-PeEL)EBL30552975 035 $a(OCoLC)1380721799 035 $a(DE-He213)978-3-031-33380-4 035 $a(BIP)091206008 035 $a(PPN)270612319 035 $a(EXLCZ)9926784776300041 100 $a20230526d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Knowledge Discovery and Data Mining$b[electronic resource] $e27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25?28, 2023, Proceedings, Part III /$fedited by Hisashi Kashima, Tsuyoshi Ide, Wen-Chih Peng 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (419 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v13937 311 08$aPrint version: Kashima, Hisashi Advances in Knowledge Discovery and Data Mining Cham : Springer,c2023 9783031333798 327 $aBig data -- Toward Explainable Recommendation Via Counterfactual Reasoning -- Online Volume Optimization for Notifications via Long Short-Term Value Modeling -- Discovering Geo-referenced Frequent Patterns in Uncertain Geo-referenced Transactional Databases -- Financial data -- Joint Latent Topic Discovery and Expectation Modeling for Financial Markets -- Let the model make financial senses: a Text2Text generative approach for financial complaint identification -- Information retrieval and search -- Web-scale Semantic Product Search With Large Language Models -- Multi-task learning based Keywords weighted Siamese Model for semantic retrieval -- Relation-Aware Network with Attention-Based Loss for Few-Shot Knowledge Graph Completion -- MFBE: Leveraging Multi-Field Information of FAQs for Efficient Dense Retrieval -- Isotropic Representation Can Improve Dense Retrieval -- Knowledge-Enhanced Prototypical Network with Structural Semantics for Few-Shot Relation Classification -- Internet of Things -- MIDFA : Memory-Based Instance Division and Feature Aggregation Network for Video Object Detection -- Medical and biological data -- Vision Transformers for Small Histological Datasets learned through Knowledge Distillation -- Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis -- DKFM: Dual Knowledge-guided Fusion Model for Drug Recommendation -- Hierarchical Graph Neural Network for Patient Treatment Preference Prediction with External Knowledge -- Multimedia and multimodal data -- An Extended Variational Mode Decomposition Algorithm Developed Speech Emotion Recognition Performance -- Dynamically-Scaled Deep Canonical Correlation Analysis -- TCR: Short Video Title Generation and Cover Selection with Attention Refinement -- ItrievalKD: An Iterative Retrieval Framework Assisted with Knowledge Distillation for Noisy Text-to-Image Retrieval -- Recommender systems -- Semantic Relation Transfer for Non-overlapped Cross-domain Recommendations -- Interest Driven Graph Structure Learning for Session-Based Recommendation -- Multi-behavior Guided Temporal Graph Attention Network for Recommendation -- Pure Spectral Graph Embeddings: Reinterpreting Graph Convolution for Top-N Recommendation -- Meta-learning Enhanced Next POI Recommendation by Leveraging Check-ins from Auxiliary Cities -- Global-Aware External Attention Deep Model for Sequential Recommendation -- Aggregately Diversified Bundle Recommendation via Popularity Debiasing and Configuration-aware Reranking -- Diversely Regularized Matrix Factorization for Accurate and Aggregately Diversified Recommendation -- kNN-Embed: Locally Smoothed Embedding Mixtures For Multi-interest Candidate Retrieval -- Staying or Leaving: A Knowledge-Enhanced User Simulator for Reinforcement Learning Based Short Video Recommendation -- RLMixer: A Reinforcement Learning Approach For Integrated Ranking With Contrastive User Preference Modeling. 330 $aThe 4-volume set LNAI 13935 - 13938 constitutes the proceedings of the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, which took place in Osaka, Japan during May 25?28, 2023. The 143 papers presented in these proceedings were carefully reviewed and selected from 813 submissions. They deal with new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, big data technologies, and foundations. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v13937 606 $aArtificial intelligence 606 $aAlgorithms 606 $aEducation?Data processing 606 $aComputer science?Mathematics 606 $aComputer vision 606 $aComputer engineering 606 $aComputer networks 606 $aArtificial Intelligence 606 $aDesign and Analysis of Algorithms 606 $aComputers and Education 606 $aMathematics of Computing 606 $aComputer Vision 606 $aComputer Engineering and Networks 610 $aMathematics 615 0$aArtificial intelligence. 615 0$aAlgorithms. 615 0$aEducation?Data processing. 615 0$aComputer science?Mathematics. 615 0$aComputer vision. 615 0$aComputer engineering. 615 0$aComputer networks. 615 14$aArtificial Intelligence. 615 24$aDesign and Analysis of Algorithms. 615 24$aComputers and Education. 615 24$aMathematics of Computing. 615 24$aComputer Vision. 615 24$aComputer Engineering and Networks. 676 $a006.312 700 $aKashima$b Hisashi$0908186 701 $aIde$b Tsuyoshi$01358929 701 $aPeng$b Wen-Chih$01358930 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996534464303316 996 $aAdvances in Knowledge Discovery and Data Mining$93371743 997 $aUNISA