Advances in Knowledge Discovery and Data Mining: 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25–28, 2023, Proceedings, Part III - Couverture souple

9783031333798: Advances in Knowledge Discovery and Data Mining: 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25–28, 2023, Proceedings, Part III

Couverture souple

ISBN 10 : 3031333799 ISBN 13 : 9783031333798

Editeur : Springer, 2023

Afficher les exemplaires de cette �dition comportant l?ISBN

The 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.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer
Date d'�dition: 2023
Langue: anglais
ISBN 10: 3031333799
ISBN 13: 9783031333798
Reliure: Broch�
Nombre de pages: 436
�diteur: Kashima Hisashi, Ide Tsuyoshi, Peng Wen-Chih
Coordonn�es du fabricant: ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Allemagne

R�sultats de recherche pour Advances in Knowledge Discovery and Data Mining: 27th...

Image d'archives

Advances in Knowledge Discovery and Data Mining (Paperback)

Hisashi Kashima

Edit� par Springer International Publishing AG, Cham, 2023

ISBN 10 : 3031333799 ISBN 13 : 9783031333798

Neuf Paperback

Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis

�valuation du vendeur 5 sur 5 �toiles

Paperback. Etat : new. Paperback. The 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 2528, 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. The 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 2528, 2023.The 143 papers presented in these proceedings were carefully reviewed and selected from 813 submissions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N� de r�f. du vendeur 9783031333798

Contacter le vendeur

Acheter neuf

EUR 136,48

Livraison gratuite
Exp�dition nationale�: Etats-Unis

Quantit� disponible : 1 disponible(s)

Ajouter au panier

Image d'archives

Advances in Knowledge Discovery and Data Mining: 27th Pacific-asia Conference on Knowledge Discovery and Data Mining, Pakdd 2023, Osaka, Japan, May 25-28, 2023, Proceedings

Kashima, Hisashi (Editor)/ Ide, Tsuyoshi (Editor)/ Peng, Wen-chih (Editor)

Edit� par Springer-Nature New York Inc, 2023

ISBN 10 : 3031333799 ISBN 13 : 9783031333798

Neuf Paperback

impression � la demande

Vendeur : Revaluation Books, Exeter, Royaume-Uni

�valuation du vendeur 5 sur 5 �toiles

Paperback. Etat : Brand New. 433 pages. 9.25x6.10x0.89 inches. In Stock. This item is printed on demand. N� de r�f. du vendeur __3031333799

Contacter le vendeur

Acheter neuf

EUR 131,15

Exp�dition �EUR 14,47
Exp�dition depuis Royaume-Uni vers Etats-Unis

Quantit� disponible : 1 disponible(s)

Ajouter au panier

Image fournie par le vendeur

Advances in Knowledge Discovery and Data Mining

Hisashi Kashima

Edit� par Springer Nature Switzerland Mai 2023, 2023

ISBN 10 : 3031333799 ISBN 13 : 9783031333798

Neuf Taschenbuch

impression � la demande

Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The 4-volume set LNAI 13935 - 13938 constitutes the proceedings of the27th 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 withnew 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. 436 pp. Englisch. N� de r�f. du vendeur 9783031333798

Contacter le vendeur

Acheter neuf

EUR 128,39

Exp�dition �EUR 23
Exp�dition depuis Allemagne vers Etats-Unis

Quantit� disponible : 2 disponible(s)

Ajouter au panier

Image d'archives

Advances in Knowledge Discovery and Data Mining: 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May ... (Lecture Notes in Artificial Intelligence)

Edit� par Springer, 2023

ISBN 10 : 3031333799 ISBN 13 : 9783031333798

Neuf Couverture souple

Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni

�valuation du vendeur 5 sur 5 �toiles

Etat : New. In. N� de r�f. du vendeur ria9783031333798_new

Contacter le vendeur

Acheter neuf

EUR 139,93

Exp�dition �EUR 13,87
Exp�dition depuis Royaume-Uni vers Etats-Unis

Quantit� disponible : Plus de 20 disponibles

Ajouter au panier

Image fournie par le vendeur

Advances in Knowledge Discovery and Data Mining

Edit� par Springer Nature Switzerland, 2023

ISBN 10 : 3031333799 ISBN 13 : 9783031333798

Neuf Couverture souple

Vendeur : moluna, Greven, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Etat : New. N� de r�f. du vendeur 855414941

Contacter le vendeur

Acheter neuf

EUR 109,83

Exp�dition �EUR 48,99
Exp�dition depuis Allemagne vers Etats-Unis

Quantit� disponible : Plus de 20 disponibles

Ajouter au panier

Image d'archives

Advances in Knowledge Discovery and Data Mining: 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May . (Lecture Notes in Artificial Intelligence)

Edit� par Springer, 2023

ISBN 10 : 3031333799 ISBN 13 : 9783031333798

Neuf Couverture souple

Vendeur : Books Puddle, New York, NY, Etats-Unis

�valuation du vendeur 4 sur 5 �toiles

Etat : New. N� de r�f. du vendeur 26396939359

Contacter le vendeur

Acheter neuf

EUR 172,61

Exp�dition �EUR 3,43
Exp�dition nationale�: Etats-Unis

Quantit� disponible : 4 disponible(s)

Ajouter au panier

Image d'archives

Advances in Knowledge Discovery and Data Mining: 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May . (Lecture Notes in Artificial Intelligence)

Edit� par Springer, 2023

ISBN 10 : 3031333799 ISBN 13 : 9783031333798

Neuf Couverture souple

impression � la demande

Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne

�valuation du vendeur 4 sur 5 �toiles

Etat : New. PRINT ON DEMAND. N� de r�f. du vendeur 18396939349

Contacter le vendeur

Acheter neuf

EUR 167,31

Exp�dition �EUR 9,95
Exp�dition depuis Allemagne vers Etats-Unis

Quantit� disponible : 4 disponible(s)

Ajouter au panier

Image fournie par le vendeur

Advances in Knowledge Discovery and Data Mining | 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part III

Hisashi Kashima (u. a.)

Edit� par Springer, 2023

ISBN 10 : 3031333799 ISBN 13 : 9783031333798

Neuf Taschenbuch

Vendeur : preigu, Osnabr�ck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. Advances in Knowledge Discovery and Data Mining | 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part III | Hisashi Kashima (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xvi | Englisch | 2023 | Springer | EAN 9783031333798 | Verantwortliche Person f�r die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N� de r�f. du vendeur 126842560

Contacter le vendeur

Acheter neuf

EUR 113,10

Exp�dition �EUR 70
Exp�dition depuis Allemagne vers Etats-Unis

Quantit� disponible : 5 disponible(s)

Ajouter au panier

Image d'archives

Advances in Knowledge Discovery and Data Mining: 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May . (Lecture Notes in Artificial Intelligence)

Edit� par Springer, 2023

ISBN 10 : 3031333799 ISBN 13 : 9783031333798

Neuf Couverture souple

impression � la demande

Vendeur : Majestic Books, Hounslow, Royaume-Uni

�valuation du vendeur 4 sur 5 �toiles

Etat : New. Print on Demand. N� de r�f. du vendeur 400519040

Contacter le vendeur

Acheter neuf

EUR 178,80

Exp�dition �EUR 7,52
Exp�dition depuis Royaume-Uni vers Etats-Unis

Quantit� disponible : 4 disponible(s)

Ajouter au panier

Image fournie par le vendeur

Advances in Knowledge Discovery and Data Mining

Hisashi Kashima

Edit� par Springer, Springer Mai 2023, 2023

ISBN 10 : 3031333799 ISBN 13 : 9783031333798

Neuf Taschenbuch

impression � la demande

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Big 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 forFew-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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 436 pp. Englisch. N� de r�f. du vendeur 9783031333798

Contacter le vendeur

Acheter neuf

EUR 128,39

Exp�dition �EUR 60
Exp�dition depuis Allemagne vers Etats-Unis

Quantit� disponible : 1 disponible(s)

Ajouter au panier

There are 3 autres exemplaires de ce livre sont disponibles

Afficher tous les r�sultats pour ce livre