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Autor Peng, Wen-Chih |
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Crear una solicitud de compra Refinar búsquedaAdvanced Data Mining and Applications / Cong, Gao ; Peng, Wen-Chih ; Zhang, Wei Emma ; Li, Chengliang ; Sun, Aixin
TÃtulo : Advanced Data Mining and Applications : 13th International Conference, ADMA 2017, Singapore, November 5–6, 2017, Proceedings / Tipo de documento: documento electrónico Autores: Cong, Gao, ; Peng, Wen-Chih, ; Zhang, Wei Emma, ; Li, Chengliang, ; Sun, Aixin, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2017 Número de páginas: XVII, 881 p. 264 ilustraciones ISBN/ISSN/DL: 978-3-319-69179-4 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 Procesamiento de datos Sistemas de almacenamiento y recuperación de información. Software de la aplicacion Procesamiento del lenguaje natural (Informática) Red de computadoras MinerÃa de datos y descubrimiento de conocimientos Almacenamiento y recuperación de información Aplicaciones informáticas y de sistemas de información Procesamiento del lenguaje natural (PNL) Redes de comunicación informática Clasificación: 006.3 Resumen: Este libro constituye las actas arbitradas de la 13.ª Conferencia Internacional sobre Aplicaciones y MinerÃa de Datos Avanzados, ADMA 2017, celebrada en Singapur en noviembre de 2017. Los 20 artÃculos completos y 38 breves presentados en este volumen fueron cuidadosamente revisados ​​y seleccionados entre 118 presentaciones. Los artÃculos se organizaron en secciones temáticas denominadas: base de datos y aprendizaje automático distribuido; sistema de recomendación; red social y medios sociales; aprendizaje automático; métodos de clasificación y agrupamiento; modelado de comportamiento y elaboración de perfiles de usuarios; bioinformática y análisis de datos médicos; datos espacio-temporales; procesamiento de lenguaje natural y minerÃa de textos; aplicaciones de minerÃa de datos; aplicaciones; y demostraciones. . Nota de contenido: Database and Distributed Machine Learning -- Querying and Mining Strings Made Easy Distributed Training Large-Scale Deep Architectures -- Fault Detection and Localization in Distributed Systems using Recurrent Convolutional Neural Networks -- Discovering Group Skylines with Constraints by Early Candidate Pruning -- Comparing MapReduce-Based k-NN Similarity Joins On Hadoop For High-dimensional Data -- A Higher-Fidelity Frugal Quantile Estimator -- Recommender System -- Fair Recommendations Through Diversity Promotion -- A Hierarchical Bayesian Factorization Model for Implicit and Explicit Feedback Data -- Empirical Analysis of Factors Influencing Twitter Hashtag Recommendation on Detected Communities -- Group Recommender Model Based on Preference Interaction -- Identification of Grey Sheep Users By Histogram Intersection In Recommender Systems -- Social Network and Social Media -- A Feature-based Approach for the Redefined Link Prediction Problem in Signed Networks -- From Mutual Friends to Overlapping Community Detection: A Non-negative Matrix Factorization Approach -- Calling for Response: Automatically Distinguishing Situation-aware Tweets During Crises -- Efficient Revenue Maximization for Viral Marketing in Social Networks -- Generating Life Course Trajectory Sequences with Recurrent Neural Networks and Application to Early Detection on Social Disadvantage -- FRISK: A Multilingual Approach to Find twitteR InterestS via wiKipedia -- A Solution to Tweet-Based User Identification across Online Social Networks -- Machine Learning -- Supervised Feature Selection Algorithm Based on Low-Rank and Manifold Learning -- Mixed Membership Sparse Gaussian Conditional Random Fields -- Effects of Dynamic Subspacing in Random Forest -- Diversity and Locality in Multi-Component, Multi-Layer Predictive Systems: A Mutual Information Based Approach -- Hybrid Subspace Mixture Models For Prediction and Anomaly Detection in High Dimensions -- Classification and Clustering Methods --  StruClus: Scalable Structural Graph Set Clustering with Representative Sampling -- Employing Hierarchical Clustering and Reinforcement Learning for Attribute-based Zero-Shot Classification -- Environmental Sound Recognition using Masked Conditional Neural Networks -- Analyzing Performance of Classification Techniques in Detecting Epileptic Seizure -- A Framework for Clustering and Dynamic Maintenance of XML Documents -- Language-independent Twitter Classification using Character-based Convolutional Networks -- Behavior Modeling and User Profiling -- Modeling Check-in Behavior with Geographical Neighborhood Influence of Venues -- An empirical study on collective online behaviors of extremist supporters. -Your Moves, Your Device: Establishing Behavior Profiles using Tensors -- An Approach for Identifying Author Profiles of Blogs -- Generating Topics of Interests for Research Communities -- An Evolutionary Approach for Learning Conditional Preference Network from Inconsistent Examples -- Bioinformatic and Medical Data Analysis -- Predicting Clinical Outcomes of Alzheimer's Disease from Complex Brain Networks -- Doctoral Advisor or Medical Condition: Towards Entity-specific Rankings of Knowledge Base Properties -- Multiclass Lung Cancer Diagnosis by Gene Expression Programming and Microarray Datasets -- Drug-drug Interaction Extraction via Recurrent Neural Network with Multiple Attention Layers -- Spatio-temporal Data -- People-Centric Mobile Crowdsensing Platform for Urban Design -- Long-Term User Location Prediction Using Deep Learning and Periodic Pattern Mining -- An Intelligent Weighted Fuzzy Time Series Model Based on A Sine-Cosine Adaptive Human Learning Optimization Algorithm and Its Application to Financial Markets Forecasting -- Mobile Robot Scheduling with Multiple Trips and Time Windows -- Natural Language Processing and Text Mining -- Feature Analysis for Duplicate Detection in Programming QA Communities -- A Joint Human/Machine Process for Coding Events and Conflict Drivers -- Quality Prediction of Newly Proposed Questions in CQA by Leveraging Weakly Supervised Learning -- Improving Chinese Sentiment Analysis via Segmentation-based Representation Using Parallel CNN -- Entity Recognition by Distant Supervision with Soft List Constraint -- Structured Sentiment Analysis -- Data Mining Applications -- Improving Real-Time Bidding Using a Constrained Markov Decision Process -- PowerLSTM: Power Demand Forecasting Using Long Short-Term Memory Neural Network -- Identifying Unreliable Sensors Without a Knowledge of the Ground Truth in Deceptive Environments -- Color-sketch simulator: a guide for color-based visual known-item search -- Applications -- Making Use of External Company Data to Improve the Classification of Bank Transactions -- Mining Load Profile Patterns for Australian Electricity Consumers -- STA: a Spatio-temporal Thematic Analytics Framework for Urban Ground Sensing -- Privacy and Utility Preservation for Location Data Using Stay Region Analysis -- Location-aware Human Activity Recognition -- Demos -- SWYSWYK: a new Sharing Paradigm for the Personal Cloud -- Tools and Infrastructure for Supporting Enterprise Knowledge Graphs -- An Interactive Web-based Toolset for Knowledge Discovery from Short Text Log Data -- Carbon: Forecasting Civil Unrest Events by Monitoring News and Social Media -- A system for Querying and Analyzing Urban Regions -- Detect tracking behavior among trajectory data. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 13th International Conference on Advanced Data Mining and Applications, ADMA 2017, held in Singapore in November 2017. The 20 full and 38 short papers presented in this volume were carefully reviewed and selected from 118 submissions. The papers were organized in topical sections named: database and distributed machine learning; recommender system; social network and social media; machine learning; classification and clustering methods; behavior modeling and user profiling; bioinformatics and medical data analysis; spatio-temporal data; natural language processing and text mining; data mining applications; applications; and demos. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Advanced Data Mining and Applications : 13th International Conference, ADMA 2017, Singapore, November 5–6, 2017, Proceedings / [documento electrónico] / Cong, Gao, ; Peng, Wen-Chih, ; Zhang, Wei Emma, ; Li, Chengliang, ; Sun, Aixin, . - 1 ed. . - [s.l.] : Springer, 2017 . - XVII, 881 p. 264 ilustraciones.
ISBN : 978-3-319-69179-4
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 Procesamiento de datos Sistemas de almacenamiento y recuperación de información. Software de la aplicacion Procesamiento del lenguaje natural (Informática) Red de computadoras MinerÃa de datos y descubrimiento de conocimientos Almacenamiento y recuperación de información Aplicaciones informáticas y de sistemas de información Procesamiento del lenguaje natural (PNL) Redes de comunicación informática Clasificación: 006.3 Resumen: Este libro constituye las actas arbitradas de la 13.ª Conferencia Internacional sobre Aplicaciones y MinerÃa de Datos Avanzados, ADMA 2017, celebrada en Singapur en noviembre de 2017. Los 20 artÃculos completos y 38 breves presentados en este volumen fueron cuidadosamente revisados ​​y seleccionados entre 118 presentaciones. Los artÃculos se organizaron en secciones temáticas denominadas: base de datos y aprendizaje automático distribuido; sistema de recomendación; red social y medios sociales; aprendizaje automático; métodos de clasificación y agrupamiento; modelado de comportamiento y elaboración de perfiles de usuarios; bioinformática y análisis de datos médicos; datos espacio-temporales; procesamiento de lenguaje natural y minerÃa de textos; aplicaciones de minerÃa de datos; aplicaciones; y demostraciones. . Nota de contenido: Database and Distributed Machine Learning -- Querying and Mining Strings Made Easy Distributed Training Large-Scale Deep Architectures -- Fault Detection and Localization in Distributed Systems using Recurrent Convolutional Neural Networks -- Discovering Group Skylines with Constraints by Early Candidate Pruning -- Comparing MapReduce-Based k-NN Similarity Joins On Hadoop For High-dimensional Data -- A Higher-Fidelity Frugal Quantile Estimator -- Recommender System -- Fair Recommendations Through Diversity Promotion -- A Hierarchical Bayesian Factorization Model for Implicit and Explicit Feedback Data -- Empirical Analysis of Factors Influencing Twitter Hashtag Recommendation on Detected Communities -- Group Recommender Model Based on Preference Interaction -- Identification of Grey Sheep Users By Histogram Intersection In Recommender Systems -- Social Network and Social Media -- A Feature-based Approach for the Redefined Link Prediction Problem in Signed Networks -- From Mutual Friends to Overlapping Community Detection: A Non-negative Matrix Factorization Approach -- Calling for Response: Automatically Distinguishing Situation-aware Tweets During Crises -- Efficient Revenue Maximization for Viral Marketing in Social Networks -- Generating Life Course Trajectory Sequences with Recurrent Neural Networks and Application to Early Detection on Social Disadvantage -- FRISK: A Multilingual Approach to Find twitteR InterestS via wiKipedia -- A Solution to Tweet-Based User Identification across Online Social Networks -- Machine Learning -- Supervised Feature Selection Algorithm Based on Low-Rank and Manifold Learning -- Mixed Membership Sparse Gaussian Conditional Random Fields -- Effects of Dynamic Subspacing in Random Forest -- Diversity and Locality in Multi-Component, Multi-Layer Predictive Systems: A Mutual Information Based Approach -- Hybrid Subspace Mixture Models For Prediction and Anomaly Detection in High Dimensions -- Classification and Clustering Methods --  StruClus: Scalable Structural Graph Set Clustering with Representative Sampling -- Employing Hierarchical Clustering and Reinforcement Learning for Attribute-based Zero-Shot Classification -- Environmental Sound Recognition using Masked Conditional Neural Networks -- Analyzing Performance of Classification Techniques in Detecting Epileptic Seizure -- A Framework for Clustering and Dynamic Maintenance of XML Documents -- Language-independent Twitter Classification using Character-based Convolutional Networks -- Behavior Modeling and User Profiling -- Modeling Check-in Behavior with Geographical Neighborhood Influence of Venues -- An empirical study on collective online behaviors of extremist supporters. -Your Moves, Your Device: Establishing Behavior Profiles using Tensors -- An Approach for Identifying Author Profiles of Blogs -- Generating Topics of Interests for Research Communities -- An Evolutionary Approach for Learning Conditional Preference Network from Inconsistent Examples -- Bioinformatic and Medical Data Analysis -- Predicting Clinical Outcomes of Alzheimer's Disease from Complex Brain Networks -- Doctoral Advisor or Medical Condition: Towards Entity-specific Rankings of Knowledge Base Properties -- Multiclass Lung Cancer Diagnosis by Gene Expression Programming and Microarray Datasets -- Drug-drug Interaction Extraction via Recurrent Neural Network with Multiple Attention Layers -- Spatio-temporal Data -- People-Centric Mobile Crowdsensing Platform for Urban Design -- Long-Term User Location Prediction Using Deep Learning and Periodic Pattern Mining -- An Intelligent Weighted Fuzzy Time Series Model Based on A Sine-Cosine Adaptive Human Learning Optimization Algorithm and Its Application to Financial Markets Forecasting -- Mobile Robot Scheduling with Multiple Trips and Time Windows -- Natural Language Processing and Text Mining -- Feature Analysis for Duplicate Detection in Programming QA Communities -- A Joint Human/Machine Process for Coding Events and Conflict Drivers -- Quality Prediction of Newly Proposed Questions in CQA by Leveraging Weakly Supervised Learning -- Improving Chinese Sentiment Analysis via Segmentation-based Representation Using Parallel CNN -- Entity Recognition by Distant Supervision with Soft List Constraint -- Structured Sentiment Analysis -- Data Mining Applications -- Improving Real-Time Bidding Using a Constrained Markov Decision Process -- PowerLSTM: Power Demand Forecasting Using Long Short-Term Memory Neural Network -- Identifying Unreliable Sensors Without a Knowledge of the Ground Truth in Deceptive Environments -- Color-sketch simulator: a guide for color-based visual known-item search -- Applications -- Making Use of External Company Data to Improve the Classification of Bank Transactions -- Mining Load Profile Patterns for Australian Electricity Consumers -- STA: a Spatio-temporal Thematic Analytics Framework for Urban Ground Sensing -- Privacy and Utility Preservation for Location Data Using Stay Region Analysis -- Location-aware Human Activity Recognition -- Demos -- SWYSWYK: a new Sharing Paradigm for the Personal Cloud -- Tools and Infrastructure for Supporting Enterprise Knowledge Graphs -- An Interactive Web-based Toolset for Knowledge Discovery from Short Text Log Data -- Carbon: Forecasting Civil Unrest Events by Monitoring News and Social Media -- A system for Querying and Analyzing Urban Regions -- Detect tracking behavior among trajectory data. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 13th International Conference on Advanced Data Mining and Applications, ADMA 2017, held in Singapore in November 2017. The 20 full and 38 short papers presented in this volume were carefully reviewed and selected from 118 submissions. The papers were organized in topical sections named: database and distributed machine learning; recommender system; social network and social media; machine learning; classification and clustering methods; behavior modeling and user profiling; bioinformatics and medical data analysis; spatio-temporal data; natural language processing and text mining; data mining applications; applications; and demos. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Database Systems for Advanced Applications. DASFAA 2021 International Workshops : BDQM, GDMA, MLDLDSA, MobiSocial, and MUST, Taipei, Taiwan, April 11–14, 2021, Proceedings / Tipo de documento: documento electrónico Autores: Jensen, Christian S., ; Lim, Ee-Peng, ; Yang, De-Nian, ; Chang, Chia-Hui, ; Xu, Jianliang, ; Peng, Wen-Chih, ; Huang, Jen-Wei, ; Shen, Chih-Ya, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XIII, 446 p. 181 ilustraciones, 137 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-73216-5 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: Procesamiento de datos Red de computadoras Estructuras de datos (Informática) TeorÃa de la información Inteligencia artificial Procesamiento de imágenes Visión por computador IngenierÃa Informática MinerÃa de datos y descubrimiento de conocimientos Redes de comunicación informática Estructuras de datos y teorÃa de la información Imágenes por computadora visión reconocimiento de patrones y gráficos IngenierÃa Informática y Redes Clasificación: 6.312 Resumen: Este volumen constituye los artÃculos de varios talleres que se llevaron a cabo junto con la 26a Conferencia Internacional sobre Sistemas de Bases de Datos para Aplicaciones Avanzadas, DASFAA 2021, celebrada en Taipei, Taiwán, en abril de 2021. Los 29 artÃculos completos revisados ​​presentados en este libro fueron cuidadosamente revisados ​​y seleccionados de 84 presentaciones. DASFAA 2021 presenta los siguientes cinco talleres: 6to Taller Internacional sobre Gestión de Calidad de Big Data (BDQM 2021) 5to Taller Internacional sobre Gestión y Análisis de Datos Gráficos (GDMA 2021) Primer Taller Internacional sobre Aprendizaje Automático y Aprendizaje Profundo para Aplicaciones de Seguridad de Datos (MLDLDSA 2021) 6to Taller Internacional sobre Gestión, MinerÃa y Computación de Datos Móviles en Redes Sociales (MobiSocial 2021) Taller Internacional 2021 sobre Sistemas y TecnologÃas Móviles Ubicuos (MUST 2021) Debido a la pandemia de Corona, este evento se llevó a cabo de forma virtual. Nota de contenido: 6th International Workshop on Big Data Quality Management -- 5th International Workshop on Graph Data Management and Analysis -- First International Workshop on Machine Learning and Deep Learning for Data Security Applications -- 6th International Workshop on Mobile Data Management, Mining, and Computing on Social Network -- 2021 International Workshop on Mobile Ubiquitous Systems and Technologies. Tipo de medio : Computadora Summary : This volume constitutes the papers of several workshops which were held in conjunction with the 26th International Conference on Database Systems for Advanced Applications, DASFAA 2021, held in Taipei, Taiwan, in April 2021. The 29 revised full papers presented in this book were carefully reviewed and selected from 84 submissions. DASFAA 2021 presents the following five workshops: 6th International Workshop on Big Data Quality Management (BDQM 2021) 5th International Workshop on Graph Data Management and Analysis (GDMA 2021) First International Workshop on Machine Learning and Deep Learning for Data Security Applications (MLDLDSA 2021) 6th International Workshop on Mobile Data Management, Mining, and Computing on Social Network (MobiSocial 2021) 2021 International Workshop on Mobile Ubiquitous Systems and Technologies (MUST 2021) Due to the Corona pandemic this event was held virtually. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Database Systems for Advanced Applications. DASFAA 2021 International Workshops : BDQM, GDMA, MLDLDSA, MobiSocial, and MUST, Taipei, Taiwan, April 11–14, 2021, Proceedings / [documento electrónico] / Jensen, Christian S., ; Lim, Ee-Peng, ; Yang, De-Nian, ; Chang, Chia-Hui, ; Xu, Jianliang, ; Peng, Wen-Chih, ; Huang, Jen-Wei, ; Shen, Chih-Ya, . - 1 ed. . - [s.l.] : Springer, 2021 . - XIII, 446 p. 181 ilustraciones, 137 ilustraciones en color.
ISBN : 978-3-030-73216-5
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: Procesamiento de datos Red de computadoras Estructuras de datos (Informática) TeorÃa de la información Inteligencia artificial Procesamiento de imágenes Visión por computador IngenierÃa Informática MinerÃa de datos y descubrimiento de conocimientos Redes de comunicación informática Estructuras de datos y teorÃa de la información Imágenes por computadora visión reconocimiento de patrones y gráficos IngenierÃa Informática y Redes Clasificación: 6.312 Resumen: Este volumen constituye los artÃculos de varios talleres que se llevaron a cabo junto con la 26a Conferencia Internacional sobre Sistemas de Bases de Datos para Aplicaciones Avanzadas, DASFAA 2021, celebrada en Taipei, Taiwán, en abril de 2021. Los 29 artÃculos completos revisados ​​presentados en este libro fueron cuidadosamente revisados ​​y seleccionados de 84 presentaciones. DASFAA 2021 presenta los siguientes cinco talleres: 6to Taller Internacional sobre Gestión de Calidad de Big Data (BDQM 2021) 5to Taller Internacional sobre Gestión y Análisis de Datos Gráficos (GDMA 2021) Primer Taller Internacional sobre Aprendizaje Automático y Aprendizaje Profundo para Aplicaciones de Seguridad de Datos (MLDLDSA 2021) 6to Taller Internacional sobre Gestión, MinerÃa y Computación de Datos Móviles en Redes Sociales (MobiSocial 2021) Taller Internacional 2021 sobre Sistemas y TecnologÃas Móviles Ubicuos (MUST 2021) Debido a la pandemia de Corona, este evento se llevó a cabo de forma virtual. Nota de contenido: 6th International Workshop on Big Data Quality Management -- 5th International Workshop on Graph Data Management and Analysis -- First International Workshop on Machine Learning and Deep Learning for Data Security Applications -- 6th International Workshop on Mobile Data Management, Mining, and Computing on Social Network -- 2021 International Workshop on Mobile Ubiquitous Systems and Technologies. Tipo de medio : Computadora Summary : This volume constitutes the papers of several workshops which were held in conjunction with the 26th International Conference on Database Systems for Advanced Applications, DASFAA 2021, held in Taipei, Taiwan, in April 2021. The 29 revised full papers presented in this book were carefully reviewed and selected from 84 submissions. DASFAA 2021 presents the following five workshops: 6th International Workshop on Big Data Quality Management (BDQM 2021) 5th International Workshop on Graph Data Management and Analysis (GDMA 2021) First International Workshop on Machine Learning and Deep Learning for Data Security Applications (MLDLDSA 2021) 6th International Workshop on Mobile Data Management, Mining, and Computing on Social Network (MobiSocial 2021) 2021 International Workshop on Mobile Ubiquitous Systems and Technologies (MUST 2021) Due to the Corona pandemic this event was held virtually. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
