東華大學圖書館 |

Data science = foundations and applications : 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025 : proceedings.. Part VI /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data science/ edited by Xintao Wu ... [et al.].
Reminder of title:	foundations and applications : 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025 : proceedings.
remainder title:	PAKDD 2025
other author:	Wu, Xintao.
corporate name:	PAKDD (Conference)
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xxx, 473 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Survey Track. -- Large Language Models for Cybersecurity Education: A Survey of Current Practices and Future Directions. -- A Comprehensive Survey on Deep Learning Solutions for 3D Flood Mapping. -- A Survey of Foundation Models for Environmental Science. -- A Survey on Efficient Graph Reachability Queries. -- Machine Learning. -- Disentangled Representation Learning for Geospatial-temporal Data Modeling. -- Treatment Effect Estimation for Graph-Structured Targets. -- Dynamic DropConnect: Enhancing Neural Network Robustness through Adaptive Edge Dropping Strategies. -- The Brownian Integral Kernel: A New Kernel for Modeling Integrated Brownian Motions. -- Fed-ARIMA-OPARBFN: An Ensemble Model for Cross-Domain Crop Yield Time Series Prediction Based on Federated Learning. -- S-CPD: Topological Smoothing-Based Change Point Detection. -- VDASI: VAE-Enhanced Degradation-Aware System Identification Using Constrained Latent Spaces. -- Disentangled Mode-Specific Representations for Tensor Time Series via Contrastive Learning. -- PFformer: A Position-Free Transformer Variant for Extreme-Adaptive Multivariate Time Series Forecasting. -- Advancing Long-Term High-Frequency Dissolved Oxygen Forecasting for Australian Rivers. -- CNO-former: Chaotic Neural Oscillatory Transformer for Social Media Text Generation. -- Multilingual Non-Factoid Question Answering with Answer Paragraph Selection -- Turning Uncertainty to Information by Intervals in Ensemble Classifiers. -- Determining the Need for Multi-Label Classifiers by Measuring Unexplained Covariance. -- Evaluating Generative Vehicle Trajectory Models for Traffic Intersection Dynamics. -- Trustworthiness. -- Inversion Triplet - A Contrastive Backdoor Mitigation Method for Self-Supervised Vision Encoders. -- Beyond Uniformity: Robust Backdoor Attacks on Deep Neural Networks with Trigger Selection. -- Defence Against Multi-target Multi-trigger Backdoor Attack. -- How to Backdoor Consistency Models?. -- Multi-granularity Policy Explanation of Deep Reinforcement Learning Based on Saliency Map Clustering. -- FACROC: A Fairness Measure for Fair Clustering Through ROC Curves. -- Learning on Complex Data. -- Action Sequence Analysis Using Temporal Commonsense Knowledge. -- Foundation Model for Lossy Compression of Spatiotemporal Scientific Data. -- CANTER: A Novel Causal Model for Tourism Demand Forecasting. -- Time-Aware Complex Attention Space for Temporal Knowledge Graph Completion. -- Adaptive Extraction of Variable-Length Subsequence Patterns in Noisy Time Series. -- Hunting Inside N-Quantiles of Outliers (Hino). -- Fast Approximation Algorithm for Euclidean Minimum Spanning Tree Building in High Dimensions. -- ShuttleSHAP: A Turn-Based Feature Attribution Approach for Analyzing Forecasting Models in Badminton. -- Offline Map Matching Based on Localization Error Distribution Modeling.
Contained By:	Springer Nature eBook
Subject:	Data mining - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-96-8295-9
ISBN:	9789819682959

Data science = foundations and applications : 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025 : proceedings.. Part VI /
Data sciencefoundations and applications : 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025 : proceedings.Part VI /[electronic resource] :PAKDD 2025edited by Xintao Wu ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xxx, 473 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,158751611-3349 ;. - Lecture notes in computer science ;15875..

Survey Track. -- Large Language Models for Cybersecurity Education: A Survey of Current Practices and Future Directions. -- A Comprehensive Survey on Deep Learning Solutions for 3D Flood Mapping. -- A Survey of Foundation Models for Environmental Science. -- A Survey on Efficient Graph Reachability Queries. -- Machine Learning. -- Disentangled Representation Learning for Geospatial-temporal Data Modeling. -- Treatment Effect Estimation for Graph-Structured Targets. -- Dynamic DropConnect: Enhancing Neural Network Robustness through Adaptive Edge Dropping Strategies. -- The Brownian Integral Kernel: A New Kernel for Modeling Integrated Brownian Motions. -- Fed-ARIMA-OPARBFN: An Ensemble Model for Cross-Domain Crop Yield Time Series Prediction Based on Federated Learning. -- S-CPD: Topological Smoothing-Based Change Point Detection. -- VDASI: VAE-Enhanced Degradation-Aware System Identification Using Constrained Latent Spaces. -- Disentangled Mode-Specific Representations for Tensor Time Series via Contrastive Learning. -- PFformer: A Position-Free Transformer Variant for Extreme-Adaptive Multivariate Time Series Forecasting. -- Advancing Long-Term High-Frequency Dissolved Oxygen Forecasting for Australian Rivers. -- CNO-former: Chaotic Neural Oscillatory Transformer for Social Media Text Generation. -- Multilingual Non-Factoid Question Answering with Answer Paragraph Selection -- Turning Uncertainty to Information by Intervals in Ensemble Classifiers. -- Determining the Need for Multi-Label Classifiers by Measuring Unexplained Covariance. -- Evaluating Generative Vehicle Trajectory Models for Traffic Intersection Dynamics. -- Trustworthiness. -- Inversion Triplet - A Contrastive Backdoor Mitigation Method for Self-Supervised Vision Encoders. -- Beyond Uniformity: Robust Backdoor Attacks on Deep Neural Networks with Trigger Selection. -- Defence Against Multi-target Multi-trigger Backdoor Attack. -- How to Backdoor Consistency Models?. -- Multi-granularity Policy Explanation of Deep Reinforcement Learning Based on Saliency Map Clustering. -- FACROC: A Fairness Measure for Fair Clustering Through ROC Curves. -- Learning on Complex Data. -- Action Sequence Analysis Using Temporal Commonsense Knowledge. -- Foundation Model for Lossy Compression of Spatiotemporal Scientific Data. -- CANTER: A Novel Causal Model for Tourism Demand Forecasting. -- Time-Aware Complex Attention Space for Temporal Knowledge Graph Completion. -- Adaptive Extraction of Variable-Length Subsequence Patterns in Noisy Time Series. -- Hunting Inside N-Quantiles of Outliers (Hino). -- Fast Approximation Algorithm for Euclidean Minimum Spanning Tree Building in High Dimensions. -- ShuttleSHAP: A Turn-Based Feature Attribution Approach for Analyzing Forecasting Models in Badminton. -- Offline Map Matching Based on Localization Error Distribution Modeling.

The two-volume set LNAI 15875 + 15876 constitutes the proceedings of the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025 Special Session, held in Sydney, NSW, Australia, during June 10-13, 2025. The 68 full papers included in this set were carefully reviewed and selected from 696 submissions. They were organized in topical sections as follows: survey track; machine learning; trustworthiness; learning on complex data; graph mining; machine learning applications; representation learning; scientific/business data analysis; and special track on large language models.

ISBN: 9789819682959

Standard No.: 10.1007/978-981-96-8295-9doiSubjects--Topical Terms:

551626
Data mining
--Congresses.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Data science = foundations and applications : 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025 : proceedings.. Part VI /
LDR:04813nmm a2200373 a 4500 001 2413340
003 DE-He213
005 20250620130325.0
006 m d
007 cr nn 008maaau
008 260205s2025 si s 0 eng d
020 $a 9789819682959 $q (electronic bk.)
020 $a 9789819682942 $q (paper)
024 7 $a 10.1007/978-981-96-8295-9 $2 doi
035 $a 978-981-96-8295-9
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D343
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.312 $2 23
090 $a QA76.9.D343 $b P152 2025
111 2 $a PAKDD (Conference) $n (29th : $d 2025 : $c Sydney, N.S.W.) $3 3789312
245 1 0 $a Data science $h [electronic resource] : $b foundations and applications : 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025 : proceedings. $n Part VI / $c edited by Xintao Wu ... [et al.].
246 3 $a PAKDD 2025
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2025.
300 $a xxx, 473 p. : $b ill. (some col.), digital ; $c 24 cm.
338 $a online resource $b cr $2 rdacarrier
490 1 $a Lecture notes in computer science, $x 1611-3349 ; $v 15875
490 1 $a Lecture notes in artificial intelligence
505 0 $a Survey Track. -- Large Language Models for Cybersecurity Education: A Survey of Current Practices and Future Directions. -- A Comprehensive Survey on Deep Learning Solutions for 3D Flood Mapping. -- A Survey of Foundation Models for Environmental Science. -- A Survey on Efficient Graph Reachability Queries. -- Machine Learning. -- Disentangled Representation Learning for Geospatial-temporal Data Modeling. -- Treatment Effect Estimation for Graph-Structured Targets. -- Dynamic DropConnect: Enhancing Neural Network Robustness through Adaptive Edge Dropping Strategies. -- The Brownian Integral Kernel: A New Kernel for Modeling Integrated Brownian Motions. -- Fed-ARIMA-OPARBFN: An Ensemble Model for Cross-Domain Crop Yield Time Series Prediction Based on Federated Learning. -- S-CPD: Topological Smoothing-Based Change Point Detection. -- VDASI: VAE-Enhanced Degradation-Aware System Identification Using Constrained Latent Spaces. -- Disentangled Mode-Specific Representations for Tensor Time Series via Contrastive Learning. -- PFformer: A Position-Free Transformer Variant for Extreme-Adaptive Multivariate Time Series Forecasting. -- Advancing Long-Term High-Frequency Dissolved Oxygen Forecasting for Australian Rivers. -- CNO-former: Chaotic Neural Oscillatory Transformer for Social Media Text Generation. -- Multilingual Non-Factoid Question Answering with Answer Paragraph Selection -- Turning Uncertainty to Information by Intervals in Ensemble Classifiers. -- Determining the Need for Multi-Label Classifiers by Measuring Unexplained Covariance. -- Evaluating Generative Vehicle Trajectory Models for Traffic Intersection Dynamics. -- Trustworthiness. -- Inversion Triplet - A Contrastive Backdoor Mitigation Method for Self-Supervised Vision Encoders. -- Beyond Uniformity: Robust Backdoor Attacks on Deep Neural Networks with Trigger Selection. -- Defence Against Multi-target Multi-trigger Backdoor Attack. -- How to Backdoor Consistency Models?. -- Multi-granularity Policy Explanation of Deep Reinforcement Learning Based on Saliency Map Clustering. -- FACROC: A Fairness Measure for Fair Clustering Through ROC Curves. -- Learning on Complex Data. -- Action Sequence Analysis Using Temporal Commonsense Knowledge. -- Foundation Model for Lossy Compression of Spatiotemporal Scientific Data. -- CANTER: A Novel Causal Model for Tourism Demand Forecasting. -- Time-Aware Complex Attention Space for Temporal Knowledge Graph Completion. -- Adaptive Extraction of Variable-Length Subsequence Patterns in Noisy Time Series. -- Hunting Inside N-Quantiles of Outliers (Hino). -- Fast Approximation Algorithm for Euclidean Minimum Spanning Tree Building in High Dimensions. -- ShuttleSHAP: A Turn-Based Feature Attribution Approach for Analyzing Forecasting Models in Badminton. -- Offline Map Matching Based on Localization Error Distribution Modeling.
520 $a The two-volume set LNAI 15875 + 15876 constitutes the proceedings of the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025 Special Session, held in Sydney, NSW, Australia, during June 10-13, 2025. The 68 full papers included in this set were carefully reviewed and selected from 696 submissions. They were organized in topical sections as follows: survey track; machine learning; trustworthiness; learning on complex data; graph mining; machine learning applications; representation learning; scientific/business data analysis; and special track on large language models.
650 0 $a Data mining $v Congresses. $3 551626
650 1 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Design and Analysis of Algorithms. $3 3538532
650 2 4 $a Computers and Education. $3 892757
650 2 4 $a Mathematics of Computing. $3 891213
650 2 4 $a Signal, Speech and Image Processing. $3 3592727
650 2 4 $a Computer Communication Networks. $3 775497
700 1 $a Wu, Xintao. $3 3789305
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 15875. $3 3789335
830 0 $a Lecture notes in artificial intelligence. $3 3382562
856 4 0 $u https://doi.org/10.1007/978-981-96-8295-9
950 $a Computer Science (SpringerNature-11645)