Título :	25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11–14, 2021, Proceedings, Part I
Tipo de documento:	documento electrónico
Autores:	Karlapalem, Kamal, ; Cheng, Hong, ; Ramakrishnan, Naren, ; Agrawal, R. K., ; Reddy, P. Krishna, ; Srivastava, Jaideep, ; Chakraborty, Tanmoy,
Mención de edición:	1 ed.
Editorial:	[s.l.] : Springer
Fecha de publicación:	2021
Número de páginas:	XXXV, 834 p. 30 ilustraciones
ISBN/ISSN/DL:	978-3-030-75762-5
Nota general:	Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave:	Inteligencia artificial  Procesamiento de datos  Ciencias sociales  Red de computadoras  Algoritmos  Minería de datos y descubrimiento de conocimientos  Aplicación informática en ciencias sociales y del comportamiento  Redes de comunicación informática  Diseño y Análisis de Algoritmos
Índice Dewey:	006.3 Inteligencia artificial
Resumen:	El conjunto de tres volúmenes LNAI 12712-12714 constituye las actas de la 25.ª Conferencia de Asia Pacífico sobre avances en el descubrimiento de conocimientos y la minería de datos, PAKDD 2021, que se celebró del 11 al 14 de mayo de 2021. Los 157 artículos incluidos en las actas fueron cuidadosamente revisado y seleccionado de un total de 628 presentaciones. Se organizaron en secciones temáticas de la siguiente manera: Parte I: Aplicaciones del descubrimiento de conocimientos y extracción de datos especializados; Parte II: Minería de datos clásica; teoría y principios de minería de datos; sistemas de recomendación; y análisis de texto; Parte III: Aprendizaje e incorporación de representaciones, y aprendizaje a partir de datos.
Nota de contenido:	Applications of Knowledge Discovery -- Fuzzy World:A Tool Training Agent from Concept Cognitive to Logic Inference -- Collaborative Reinforcement Learning Framework to Model Evolution of Cooperation in Sequential Social Dilemmas -- SIGTRAN: Signature Vectors for Detecting Illicit Activities in Blockchain Transaction Networks -- VOA*: Fast Angle-Based Outlier Detection Over High-Dimensional Data Streams -- Learning Probabilistic Latent Structure for Outlier Detection from Multi-View Data -- GLAD-PAW: Graph-based Log Anomaly Detection by Position Aware Weighted Graph Attention Network -- CubeFlow: Money Laundering Detection with Coupled Tensors -- Unsupervised Boosting-based Autoencoder Ensembles for Outlier Detection -- Unsupervised Domain Adaptation for 3D Medical Image with High Efficiency -- A Hierarchical Structure-Aware Embedding Method for Predicting Phenotype-Gene Associations -- Autonomous Vehicle Path Prediction using Conditional Variational Autoencoder Networks -- Heterogeneous Graph Attention Network for Small and Medium-sized Enterprises Bankruptcy Prediction -- Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data -- Sim2Real for Metagenomes: Accelerating Animal Diagnostics with Adversarial Co-Training -- Attack Is the Best Defense: A Multi-Mode Poisoning PUF against Machine Learning Attacks -- Combining exogenous and endogenous signals with a semi-supervised co-attention network for early detection of COVID-19 fake tweets -- TLife-LSTM: Forecasting Future COVID-19 Progression with Topological Signatures of Atmospheric Conditions -- Lifelong Learning based Disease Diagnosis on Clinical Notes -- GrabQC: Graph based Query Contextualization for automated ICD coding -- Deep Gaussian Mixture Model on Multiple Interpretable Features of Fetal Heart Rate for Pregnancy Wellness -- Adverse Drug Events Detection, Extraction and Normalization from Online Comments of Chinese Patent Medicines -- Adaptive Graph Co-Attention Networks for Traffic Forecasting -- Dual-Stage Bayesian Sequence to Sequence Embeddings for Energy Demand Forecasting -- AA-LSTM: An Adversarial Autoencoder Joint Model for Prediction of Equipment Remaining Useful Life -- Data Mining of Specialized Data -- Analyzing Topic Transitions in Text-based Social Cascades using Dual-Network Hawkes Process -- HiPaR: Hierarchical Pattern-Aided Regression -- Improved Topology Extraction using Discriminative Parameter Mining of Logs -- Back to Prior Knowledge: Joint Event Causality Extraction via Convolutional Semantic Infusion -- A k-MCST based Algorithm for Discovering Core-Periphery Structures in Graphs -- Detecting Sequentially Novel Classes with Stable Generalization Ability -- Learning-based Dynamic Graph Stream Sketch -- Discovering Dense Correlated Subgraphs in Dynamic Networks -- Fake News Detection with Heterogenous Deep Graph Convolutional Network -- Incrementally Finding the Vertices Absent from the Maximum Independent Sets -- Neighbours and Kinsmen: HatefulUsers Detection with Graph Neural Network -- Graph Neural Networks for Soft Semi-Supervised Learning on Hypergraphs -- A Meta-path based Graph Convolutional Network with Multi-Scale Semantic Extractions for Heterogeneous Event Classification -- Noise-Enhanced Unsupervised Link Prediction -- Weak Supervision Network Embedding for Constrained Graph Learning -- RAGA: Relation-aware Graph Attention Networks for Global Entity Alignment -- Graph Attention Networks with Positional Embeddings -- Unified Robust Training for Graph Neural Networks against Label Noise -- Graph InfoClust: Maximizing Coarse-Grain Mutual Information in Graphs -- A Deep Hybrid Pooling Architecture for Graph Classification with Hierarchical Attention -- Maximizing Explainability with SF-Lasso and Selective Inference for Video and Picture Ads. -Reliably Calibrated Isotonic Regression -- Multiple Instance Learning for Unilateral Data -- An Online Learning Algorithm for Non-Stationary Imbalanced Data by Extra-Charging Minority Class -- Locally Linear Support Vector Machines for Imbalanced Data Classification. - Low-Dimensional Representation Learning from Imbalanced Data Streams -- PhotoStylist: Altering the Style of Photos based on the Connotations of Texts -- Gazetteer-Guided Keyphrase Generation from Research Papers -- Minits-AllOcc: An Efficient Algorithm for Mining Timed Sequential Patterns -- T^3N: Harnessing Text and Temporal Tree Network for Rumor Detection on Twitter -- AngryBERT: Joint Learning Target and Emotion for Hate Speech Detection -- SCARLET: Explainable Attention based Graph Neural Network for Fake News spreader prediction -- Content matters: A GNN-based Model Combined with Text Semantics for Social Network Cascade Prediction -- TERMCast: Temporal Relation Modeling for Effective Urban Flow Forecasting -- Traffic Flow Driven Spatio-Temporal Graph Convolutional Network for Ride-hailing Demand Forecasting -- A Proximity Forest for Multivariate Time Series Classification -- C²-Guard: A Cross-Correlation Gaining Framework for Urban Air Quality Prediction -- Simultaneous multiple POI population patternanalysis system with HDP mixture regression -- Interpretable Feature Construction for Time Series Extrinsic Regression -- SEPC: Improving Joint Extraction of Entities and Relations by Strengthening Entity Pairs Connection.
En línea:	https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
Link:	https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i

25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11–14, 2021, Proceedings, Part I [documento electrónico] / Karlapalem, Kamal, ; Cheng, Hong, ; Ramakrishnan, Naren, ; Agrawal, R. K., ; Reddy, P. Krishna, ; Srivastava, Jaideep, ; Chakraborty, Tanmoy,  . -  1 ed.  . - [s.l.] : Springer, 2021 . - XXXV, 834 p. 30 ilustraciones.
ISBN : 978-3-030-75762-5
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.

Palabras clave:	Inteligencia artificial  Procesamiento de datos  Ciencias sociales  Red de computadoras  Algoritmos  Minería de datos y descubrimiento de conocimientos  Aplicación informática en ciencias sociales y del comportamiento  Redes de comunicación informática  Diseño y Análisis de Algoritmos
Índice Dewey:	006.3 Inteligencia artificial
Resumen:	El conjunto de tres volúmenes LNAI 12712-12714 constituye las actas de la 25.ª Conferencia de Asia Pacífico sobre avances en el descubrimiento de conocimientos y la minería de datos, PAKDD 2021, que se celebró del 11 al 14 de mayo de 2021. Los 157 artículos incluidos en las actas fueron cuidadosamente revisado y seleccionado de un total de 628 presentaciones. Se organizaron en secciones temáticas de la siguiente manera: Parte I: Aplicaciones del descubrimiento de conocimientos y extracción de datos especializados; Parte II: Minería de datos clásica; teoría y principios de minería de datos; sistemas de recomendación; y análisis de texto; Parte III: Aprendizaje e incorporación de representaciones, y aprendizaje a partir de datos.
Nota de contenido:	Applications of Knowledge Discovery -- Fuzzy World:A Tool Training Agent from Concept Cognitive to Logic Inference -- Collaborative Reinforcement Learning Framework to Model Evolution of Cooperation in Sequential Social Dilemmas -- SIGTRAN: Signature Vectors for Detecting Illicit Activities in Blockchain Transaction Networks -- VOA*: Fast Angle-Based Outlier Detection Over High-Dimensional Data Streams -- Learning Probabilistic Latent Structure for Outlier Detection from Multi-View Data -- GLAD-PAW: Graph-based Log Anomaly Detection by Position Aware Weighted Graph Attention Network -- CubeFlow: Money Laundering Detection with Coupled Tensors -- Unsupervised Boosting-based Autoencoder Ensembles for Outlier Detection -- Unsupervised Domain Adaptation for 3D Medical Image with High Efficiency -- A Hierarchical Structure-Aware Embedding Method for Predicting Phenotype-Gene Associations -- Autonomous Vehicle Path Prediction using Conditional Variational Autoencoder Networks -- Heterogeneous Graph Attention Network for Small and Medium-sized Enterprises Bankruptcy Prediction -- Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data -- Sim2Real for Metagenomes: Accelerating Animal Diagnostics with Adversarial Co-Training -- Attack Is the Best Defense: A Multi-Mode Poisoning PUF against Machine Learning Attacks -- Combining exogenous and endogenous signals with a semi-supervised co-attention network for early detection of COVID-19 fake tweets -- TLife-LSTM: Forecasting Future COVID-19 Progression with Topological Signatures of Atmospheric Conditions -- Lifelong Learning based Disease Diagnosis on Clinical Notes -- GrabQC: Graph based Query Contextualization for automated ICD coding -- Deep Gaussian Mixture Model on Multiple Interpretable Features of Fetal Heart Rate for Pregnancy Wellness -- Adverse Drug Events Detection, Extraction and Normalization from Online Comments of Chinese Patent Medicines -- Adaptive Graph Co-Attention Networks for Traffic Forecasting -- Dual-Stage Bayesian Sequence to Sequence Embeddings for Energy Demand Forecasting -- AA-LSTM: An Adversarial Autoencoder Joint Model for Prediction of Equipment Remaining Useful Life -- Data Mining of Specialized Data -- Analyzing Topic Transitions in Text-based Social Cascades using Dual-Network Hawkes Process -- HiPaR: Hierarchical Pattern-Aided Regression -- Improved Topology Extraction using Discriminative Parameter Mining of Logs -- Back to Prior Knowledge: Joint Event Causality Extraction via Convolutional Semantic Infusion -- A k-MCST based Algorithm for Discovering Core-Periphery Structures in Graphs -- Detecting Sequentially Novel Classes with Stable Generalization Ability -- Learning-based Dynamic Graph Stream Sketch -- Discovering Dense Correlated Subgraphs in Dynamic Networks -- Fake News Detection with Heterogenous Deep Graph Convolutional Network -- Incrementally Finding the Vertices Absent from the Maximum Independent Sets -- Neighbours and Kinsmen: HatefulUsers Detection with Graph Neural Network -- Graph Neural Networks for Soft Semi-Supervised Learning on Hypergraphs -- A Meta-path based Graph Convolutional Network with Multi-Scale Semantic Extractions for Heterogeneous Event Classification -- Noise-Enhanced Unsupervised Link Prediction -- Weak Supervision Network Embedding for Constrained Graph Learning -- RAGA: Relation-aware Graph Attention Networks for Global Entity Alignment -- Graph Attention Networks with Positional Embeddings -- Unified Robust Training for Graph Neural Networks against Label Noise -- Graph InfoClust: Maximizing Coarse-Grain Mutual Information in Graphs -- A Deep Hybrid Pooling Architecture for Graph Classification with Hierarchical Attention -- Maximizing Explainability with SF-Lasso and Selective Inference for Video and Picture Ads. -Reliably Calibrated Isotonic Regression -- Multiple Instance Learning for Unilateral Data -- An Online Learning Algorithm for Non-Stationary Imbalanced Data by Extra-Charging Minority Class -- Locally Linear Support Vector Machines for Imbalanced Data Classification. - Low-Dimensional Representation Learning from Imbalanced Data Streams -- PhotoStylist: Altering the Style of Photos based on the Connotations of Texts -- Gazetteer-Guided Keyphrase Generation from Research Papers -- Minits-AllOcc: An Efficient Algorithm for Mining Timed Sequential Patterns -- T^3N: Harnessing Text and Temporal Tree Network for Rumor Detection on Twitter -- AngryBERT: Joint Learning Target and Emotion for Hate Speech Detection -- SCARLET: Explainable Attention based Graph Neural Network for Fake News spreader prediction -- Content matters: A GNN-based Model Combined with Text Semantics for Social Network Cascade Prediction -- TERMCast: Temporal Relation Modeling for Effective Urban Flow Forecasting -- Traffic Flow Driven Spatio-Temporal Graph Convolutional Network for Ride-hailing Demand Forecasting -- A Proximity Forest for Multivariate Time Series Classification -- C²-Guard: A Cross-Correlation Gaining Framework for Urban Air Quality Prediction -- Simultaneous multiple POI population patternanalysis system with HDP mixture regression -- Interpretable Feature Construction for Time Series Extrinsic Regression -- SEPC: Improving Joint Extraction of Entities and Relations by Strengthening Entity Pairs Connection.
En línea:	https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
Link:	https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i