| Título : |
7th International Conference, BDA 2019, Ahmedabad, India, December 17–20, 2019, Proceedings |
| Tipo de documento: |
documento electrónico |
| Autores: |
Madria, Sanjay, ; Fournier-Viger, Philippe, ; Chaudhary, Sanjay, ; Reddy, P. Krishna, |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2019 |
| Número de páginas: |
XIII, 462 p. 290 ilustraciones, 142 ilustraciones en color. |
| ISBN/ISSN/DL: |
978-3-030-37188-3 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Palabras clave: |
Procesamiento de datos Inteligencia artificial Software de la aplicacion Gestión de base de datos Minería de datos y descubrimiento de conocimientos Aplicaciones informáticas y de sistemas de información |
| Índice Dewey: |
6.312 |
| Resumen: |
Este libro constituye las actas arbitradas de la Séptima Conferencia Internacional sobre análisis de Big Data, BDA 2019, celebrada en Ahmedabad, India, en diciembre de 2019. Los 25 artículos presentados en este volumen fueron cuidadosamente revisados y seleccionados entre 53 presentaciones. Los artículos están organizados en secciones temáticas denominadas: análisis de big data: visión y perspectivas; búsqueda y extracción de información; análisis predictivo en los ámbitos médico y agrícola; análisis de gráficos; minería de patrones; y aprendizaje automático. |
| Nota de contenido: |
Big Data Analytics: Vision and Perspectives -- Transforming Sensing Data into Smart Data for Smart Sustainable Cities -- Deep Learning Models for Medical Image Analysis: Challenges and Future Directions -- Recent Advances and Challenges in design of Non-Goal Oriented Dialogue System -- Data Cube is Dead, Long Life to Data Cube in the Age of Web Data -- Search and Information Extraction -- Improving Result Diversity using Query Term Proximity in Exploratory Search -- Segment-search vs Knowledge Graphs: Making a Keyword Search Engine for Web Documents -- Pairing Users in Social Media via Processing Meta-data from Conversational Files -- Large-Scale Information Extraction from Emails with Data Constraints -- Comparative Analysis of Rule-based, Dictionary-based and Hybrid Stemmers for Gujarati Language -- Predictive Analytics in Medical and Agricultural Domains -- Artificial Intelligence and Bayesian Knowledge Network in Health Care – Smartphone Apps for diagnosis and differentiation of anemias with higher accuracy at Resource Constrained Point-of-Care settings -- Analyzing Domain Knowledge for Big Data Analysis: A Case Study with Urban Tree Type Classification -- Market Intelligence for Agricultural Commodities using Forecasting and Deep Learning Techniques -- Graph Analytics -- TKG: Efficient Mining of Top-K Frequent Subgraphs -- Why Multilayer Networks Instead Of Simple Graphs? Modeling Effectiveness And Analysis Flexibility & Efficiency! -- Gossip Based Distributed Real Time Task Scheduling with Guaranteed Performance on Heterogeneous Networks -- Data-Driven Optimization of Public Transit Schedule -- Pattern Mining -- Discovering Spatial High Utility Frequent Itemsets in Spatiotemporal Databases -- Efficient Algorithms For Flock Detection in Large Spatio-Temporal Data -- Local Temporal Compression for (Globally) Evolving Spatial Surfaces -- An Explicit Relationship between Sequential Patterns and their Concise Representations -- Machine Learning -- A novel approach to identify the determinants of online review helpfulness and predict the helpfulness score across product categories -- Analysis and Recognition of Hand-drawn Images with Effective Data Handling -- Real Time Static Gesture Detection Using Deep Learning -- Interpreting Context of Images using Scene Graphs -- Deep Learning in the Domain of Near-Duplicate Document Detection. |
| 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 |
7th International Conference, BDA 2019, Ahmedabad, India, December 17–20, 2019, Proceedings [documento electrónico] / Madria, Sanjay, ; Fournier-Viger, Philippe, ; Chaudhary, Sanjay, ; Reddy, P. Krishna, . - 1 ed. . - [s.l.] : Springer, 2019 . - XIII, 462 p. 290 ilustraciones, 142 ilustraciones en color. ISBN : 978-3-030-37188-3 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
| Palabras clave: |
Procesamiento de datos Inteligencia artificial Software de la aplicacion Gestión de base de datos Minería de datos y descubrimiento de conocimientos Aplicaciones informáticas y de sistemas de información |
| Índice Dewey: |
6.312 |
| Resumen: |
Este libro constituye las actas arbitradas de la Séptima Conferencia Internacional sobre análisis de Big Data, BDA 2019, celebrada en Ahmedabad, India, en diciembre de 2019. Los 25 artículos presentados en este volumen fueron cuidadosamente revisados y seleccionados entre 53 presentaciones. Los artículos están organizados en secciones temáticas denominadas: análisis de big data: visión y perspectivas; búsqueda y extracción de información; análisis predictivo en los ámbitos médico y agrícola; análisis de gráficos; minería de patrones; y aprendizaje automático. |
| Nota de contenido: |
Big Data Analytics: Vision and Perspectives -- Transforming Sensing Data into Smart Data for Smart Sustainable Cities -- Deep Learning Models for Medical Image Analysis: Challenges and Future Directions -- Recent Advances and Challenges in design of Non-Goal Oriented Dialogue System -- Data Cube is Dead, Long Life to Data Cube in the Age of Web Data -- Search and Information Extraction -- Improving Result Diversity using Query Term Proximity in Exploratory Search -- Segment-search vs Knowledge Graphs: Making a Keyword Search Engine for Web Documents -- Pairing Users in Social Media via Processing Meta-data from Conversational Files -- Large-Scale Information Extraction from Emails with Data Constraints -- Comparative Analysis of Rule-based, Dictionary-based and Hybrid Stemmers for Gujarati Language -- Predictive Analytics in Medical and Agricultural Domains -- Artificial Intelligence and Bayesian Knowledge Network in Health Care – Smartphone Apps for diagnosis and differentiation of anemias with higher accuracy at Resource Constrained Point-of-Care settings -- Analyzing Domain Knowledge for Big Data Analysis: A Case Study with Urban Tree Type Classification -- Market Intelligence for Agricultural Commodities using Forecasting and Deep Learning Techniques -- Graph Analytics -- TKG: Efficient Mining of Top-K Frequent Subgraphs -- Why Multilayer Networks Instead Of Simple Graphs? Modeling Effectiveness And Analysis Flexibility & Efficiency! -- Gossip Based Distributed Real Time Task Scheduling with Guaranteed Performance on Heterogeneous Networks -- Data-Driven Optimization of Public Transit Schedule -- Pattern Mining -- Discovering Spatial High Utility Frequent Itemsets in Spatiotemporal Databases -- Efficient Algorithms For Flock Detection in Large Spatio-Temporal Data -- Local Temporal Compression for (Globally) Evolving Spatial Surfaces -- An Explicit Relationship between Sequential Patterns and their Concise Representations -- Machine Learning -- A novel approach to identify the determinants of online review helpfulness and predict the helpfulness score across product categories -- Analysis and Recognition of Hand-drawn Images with Effective Data Handling -- Real Time Static Gesture Detection Using Deep Learning -- Interpreting Context of Images using Scene Graphs -- Deep Learning in the Domain of Near-Duplicate Document Detection. |
| 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 |
|  |
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