Trends and Applications in Knowledge Discovery and Data Mining / U., Leong Hou ; Lauw, Hady W.  

Público ISBD Ningún comentario para este registro. Título : Trends and Applications in Knowledge Discovery and Data Mining : PAKDD 2019 Workshops, BDM, DLKT, LDRC, PAISI, WeL, Macau, China, April 14–17, 2019, Revised Selected Papers / Tipo de documento: documento electrónico Autores: U., Leong Hou, ; Lauw, Hady W., Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2019 Número de páginas: XIII, 366 p. 162 ilustraciones, 115 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-26142-9 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Inteligencia artificial  Software de la aplicacion  Procesamiento de datos  Visión por computador  Ciencias sociales  Protección de datos  Aplicaciones informáticas y de sistemas de información  Minería de datos y descubrimiento de conocimientos  Aplicación informática en ciencias sociales y del comportamiento.  Seguridad de datos e información Clasificación: 006.3 Resumen: Este libro constituye las actas posteriores al taller, exhaustivamente revisadas, de los talleres que se llevaron a cabo junto con la 23.ª Conferencia Pacífico-Asia sobre Descubrimiento de Conocimiento y Minería de Datos, PAKDD 2019, en Macao, China, en abril de 2019. Los 31 artículos revisados ​​presentados fueron cuidadosamente revisado y seleccionado de un total de 52 presentaciones. Surgen de los siguientes talleres: · PAISI 2019: 14º Taller de Asia Pacífico sobre inteligencia e informática de seguridad · WeL 2019: Taller PAKDD 2019 sobre aprendizaje débilmente supervisado: progreso y futuro · LDRC 2019: Taller PAKDD 2019 sobre representación de datos de aprendizaje para agrupación · BDM 2019: Octavo taller sobre técnicas de inspiración biológica para el descubrimiento de conocimientos y la minería de datos · DLKT 2019: Primer taller de Asia Pacífico sobre aprendizaje profundo para la transferencia de conocimientos. Nota de contenido: 14th Pacific Asia Workshop on Intelligence and Security Informatics (PAISI 2019) -- A Supporting Tool for IT System Security Specification Evaluation Based on ISO/IEC 15408 and ISO/IEC 18045 -- An Investigation on Multi View based User Behavior towards Spam Detection in Social Networks -- A Cluster Ensemble Strategy for Asian Handicap Betting -- Designing an Integrated Intelligence Center: New Taipei City Police Department as an Example -- Early Churn User Classification in Social Networking Service Using Attention-based Long Short-Term Memory -- PAKDD 2019 Workshop on Weakly Supervised Learning: Progress and Future (WeL 2019) -- Weakly Supervised Learning by a Confusion Matrix of Contexts -- Learning a Semantic Space for Modeling Images,Tags and Feelings in Cross-media Search -- Adversarial Active Learning in the Presence of Weak and Malicious Oracles -- The Most Related Knowledge First: A Progressive Domain Adaptation Method -- Learning Data Representation for Clustering (LDRC 2019) -- Deep Architectures for Joint Clustering and Visualization with Self-Organizing Maps -- Deep cascade of extra trees -- Algorithms for an Efficient Tensor Biclustering -- Change point detetion in periodic panel data using a mixture-model-based approach -- The 8th Workshop on Biologically-inspired Techniques for Knowledge Discovery and Data Mining (BDM 2019) -- Neural Network-Based Deep Encoding for Mixed-Attribute Data Classification -- Protein Complexes Detection Based on Deep Neural Network -- Predicting Auction Price of Vehicle License Plate with Deep Residual Learning -- Mining Multispectral Aerial Images for Automatic Detection of Strategic Bridge Locations for Disaster Relief Missions -- Chinese Word Segmentation with Feature Alignment -- Spike Sorting with Locally Weighted Co-association Matrix-based Spectral Clustering -- Label Distribution Learning Based Age-Invariant Face Recognition -- Overall Loss For Deep Neural Networks -- Sentiment Analysis Based on LSTM Architecture with Emoticon Attention -- Aspect Level Sentiment Analysis with Aspect Attention -- The 1st Pacific Asia Workshop on Deep Learning for Knowledge Transfer (DLKT 2019) -- Transfer Channel Pruning for Compressing Deep Domain Adaptation Models -- A Heterogeneous Domain Adversarial Neural Network for Trans-Domain Behavioral Targeting -- Natural Language Business Intelligence Question Answering through SeqtoSeq Transfer Learning -- Robust Faster R-CNN:Increasing Robustness to Occlusions and multi-scale objects -- Effectively Representing Short Text via the Improved Semantic Feature Space Mapping -- Probabilistic Graphical Model Based Highly Scalable Directed Community Detection Algorithm -- Hilltop based recommendation in co-author networks -- Neural Variational Collaborative Filtering for Top-K Recommendation. . Tipo de medio : Computadora Summary : This book constitutes the thoroughly refereed post-workshop proceedings of the workshops that were held in conjunction with the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, in Macau, China, in April 2019. The 31 revised papers presented were carefully reviewed and selected from a total of 52 submissions. They stem from the following workshops: · PAISI 2019: 14th Pacific Asia Workshop on Intelligence and Security Informatics · WeL 2019: PAKDD 2019 Workshop on Weakly Supervised Learning: Progress and Future · LDRC 2019: PAKDD 2019 Workshop on Learning Data Representation for Clustering · BDM 2019: 8th Workshop on Biologically-inspired Techniques for Knowledge Discovery and Data Mining · DLKT 2019: 1st Pacific Asia Workshop on Deep Learning for Knowledge Transfer. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Trends and Applications in Knowledge Discovery and Data Mining : PAKDD 2019 Workshops, BDM, DLKT, LDRC, PAISI, WeL, Macau, China, April 14–17, 2019, Revised Selected Papers / [documento electrónico] / U., Leong Hou, ; Lauw, Hady W.,  . -  1 ed.  . - [s.l.] : Springer, 2019 . - XIII, 366 p. 162 ilustraciones, 115 ilustraciones en color. ISBN : 978-3-030-26142-9 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Inteligencia artificial  Software de la aplicacion  Procesamiento de datos  Visión por computador  Ciencias sociales  Protección de datos  Aplicaciones informáticas y de sistemas de información  Minería de datos y descubrimiento de conocimientos  Aplicación informática en ciencias sociales y del comportamiento.  Seguridad de datos e información Clasificación: 006.3 Resumen: Este libro constituye las actas posteriores al taller, exhaustivamente revisadas, de los talleres que se llevaron a cabo junto con la 23.ª Conferencia Pacífico-Asia sobre Descubrimiento de Conocimiento y Minería de Datos, PAKDD 2019, en Macao, China, en abril de 2019. Los 31 artículos revisados ​​presentados fueron cuidadosamente revisado y seleccionado de un total de 52 presentaciones. Surgen de los siguientes talleres: · PAISI 2019: 14º Taller de Asia Pacífico sobre inteligencia e informática de seguridad · WeL 2019: Taller PAKDD 2019 sobre aprendizaje débilmente supervisado: progreso y futuro · LDRC 2019: Taller PAKDD 2019 sobre representación de datos de aprendizaje para agrupación · BDM 2019: Octavo taller sobre técnicas de inspiración biológica para el descubrimiento de conocimientos y la minería de datos · DLKT 2019: Primer taller de Asia Pacífico sobre aprendizaje profundo para la transferencia de conocimientos. Nota de contenido: 14th Pacific Asia Workshop on Intelligence and Security Informatics (PAISI 2019) -- A Supporting Tool for IT System Security Specification Evaluation Based on ISO/IEC 15408 and ISO/IEC 18045 -- An Investigation on Multi View based User Behavior towards Spam Detection in Social Networks -- A Cluster Ensemble Strategy for Asian Handicap Betting -- Designing an Integrated Intelligence Center: New Taipei City Police Department as an Example -- Early Churn User Classification in Social Networking Service Using Attention-based Long Short-Term Memory -- PAKDD 2019 Workshop on Weakly Supervised Learning: Progress and Future (WeL 2019) -- Weakly Supervised Learning by a Confusion Matrix of Contexts -- Learning a Semantic Space for Modeling Images,Tags and Feelings in Cross-media Search -- Adversarial Active Learning in the Presence of Weak and Malicious Oracles -- The Most Related Knowledge First: A Progressive Domain Adaptation Method -- Learning Data Representation for Clustering (LDRC 2019) -- Deep Architectures for Joint Clustering and Visualization with Self-Organizing Maps -- Deep cascade of extra trees -- Algorithms for an Efficient Tensor Biclustering -- Change point detetion in periodic panel data using a mixture-model-based approach -- The 8th Workshop on Biologically-inspired Techniques for Knowledge Discovery and Data Mining (BDM 2019) -- Neural Network-Based Deep Encoding for Mixed-Attribute Data Classification -- Protein Complexes Detection Based on Deep Neural Network -- Predicting Auction Price of Vehicle License Plate with Deep Residual Learning -- Mining Multispectral Aerial Images for Automatic Detection of Strategic Bridge Locations for Disaster Relief Missions -- Chinese Word Segmentation with Feature Alignment -- Spike Sorting with Locally Weighted Co-association Matrix-based Spectral Clustering -- Label Distribution Learning Based Age-Invariant Face Recognition -- Overall Loss For Deep Neural Networks -- Sentiment Analysis Based on LSTM Architecture with Emoticon Attention -- Aspect Level Sentiment Analysis with Aspect Attention -- The 1st Pacific Asia Workshop on Deep Learning for Knowledge Transfer (DLKT 2019) -- Transfer Channel Pruning for Compressing Deep Domain Adaptation Models -- A Heterogeneous Domain Adversarial Neural Network for Trans-Domain Behavioral Targeting -- Natural Language Business Intelligence Question Answering through SeqtoSeq Transfer Learning -- Robust Faster R-CNN:Increasing Robustness to Occlusions and multi-scale objects -- Effectively Representing Short Text via the Improved Semantic Feature Space Mapping -- Probabilistic Graphical Model Based Highly Scalable Directed Community Detection Algorithm -- Hilltop based recommendation in co-author networks -- Neural Variational Collaborative Filtering for Top-K Recommendation. . Tipo de medio : Computadora Summary : This book constitutes the thoroughly refereed post-workshop proceedings of the workshops that were held in conjunction with the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, in Macau, China, in April 2019. The 31 revised papers presented were carefully reviewed and selected from a total of 52 submissions. They stem from the following workshops: · PAISI 2019: 14th Pacific Asia Workshop on Intelligence and Security Informatics · WeL 2019: PAKDD 2019 Workshop on Weakly Supervised Learning: Progress and Future · LDRC 2019: PAKDD 2019 Workshop on Learning Data Representation for Clustering · BDM 2019: 8th Workshop on Biologically-inspired Techniques for Knowledge Discovery and Data Mining · DLKT 2019: 1st Pacific Asia Workshop on Deep Learning for Knowledge Transfer. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]

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