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Data Management, Analytics and Innovation / Balas, Valentina Emilia ; Sharma, Neha ; Chakrabarti, Amlan
TÃtulo : Data Management, Analytics and Innovation : Proceedings of ICDMAI 2018, Volume 1 Tipo de documento: documento electrónico Autores: Balas, Valentina Emilia, ; Sharma, Neha, ; Chakrabarti, Amlan, Mención de edición: 1 ed. Editorial: Singapore [Malasia] : Springer Fecha de publicación: 2019 Número de páginas: XIX, 504 p. 218 ilustraciones ISBN/ISSN/DL: 978-981-1314025-- 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: Telecomunicación Grandes datos Inteligencia artificial IngenierÃa en Comunicaciones Redes Ciencia de los datos Clasificación: 621.382 Telecomunicaciones Resumen: El libro presenta las últimas contribuciones técnicas y resultados de investigaciones de alta calidad en las áreas de gestión de datos y computación inteligente, gestión de big data, inteligencia artificial y análisis de datos, junto con avances en tecnologÃas de redes. Se analizan temas de vanguardia, asà como los desafÃos y soluciones para el desarrollo futuro. Incluye trabajos de investigación internacionales originales e inéditos que destacan campos de investigación desde diferentes perspectivas. Este libro está dirigido principalmente a investigadores y profesionales del mundo académico y de la industria. Nota de contenido: Improved Rotated Local Binary Pattern -- An Introduction to Quantum Search Algorithm and Its Implementation -- Smart Waste Management for Segregating Different Types of Waste -- Performance Evaluation and Analysis of Feature Selection Algorithms -- Vertex Importance Extension of Betweenness Centrality Algorithm -- Privacy Protection Data Analytics in Smart Home Environments with Secure Computaion. Tipo de medio : Computadora Summary : The book presents the latest, high-quality, technical contributions and research findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It discusses state-of-the-art topics as well as the challenges and solutions for future development. It includes original and previously unpublished international research work highlighting research domains from different perspectives. This book is mainly intended for researchers and practitioners in academia and industry. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Data Management, Analytics and Innovation : Proceedings of ICDMAI 2018, Volume 1 [documento electrónico] / Balas, Valentina Emilia, ; Sharma, Neha, ; Chakrabarti, Amlan, . - 1 ed. . - Singapore [Malasia] : Springer, 2019 . - XIX, 504 p. 218 ilustraciones.
ISBN : 978-981-1314025--
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: Telecomunicación Grandes datos Inteligencia artificial IngenierÃa en Comunicaciones Redes Ciencia de los datos Clasificación: 621.382 Telecomunicaciones Resumen: El libro presenta las últimas contribuciones técnicas y resultados de investigaciones de alta calidad en las áreas de gestión de datos y computación inteligente, gestión de big data, inteligencia artificial y análisis de datos, junto con avances en tecnologÃas de redes. Se analizan temas de vanguardia, asà como los desafÃos y soluciones para el desarrollo futuro. Incluye trabajos de investigación internacionales originales e inéditos que destacan campos de investigación desde diferentes perspectivas. Este libro está dirigido principalmente a investigadores y profesionales del mundo académico y de la industria. Nota de contenido: Improved Rotated Local Binary Pattern -- An Introduction to Quantum Search Algorithm and Its Implementation -- Smart Waste Management for Segregating Different Types of Waste -- Performance Evaluation and Analysis of Feature Selection Algorithms -- Vertex Importance Extension of Betweenness Centrality Algorithm -- Privacy Protection Data Analytics in Smart Home Environments with Secure Computaion. Tipo de medio : Computadora Summary : The book presents the latest, high-quality, technical contributions and research findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It discusses state-of-the-art topics as well as the challenges and solutions for future development. It includes original and previously unpublished international research work highlighting research domains from different perspectives. This book is mainly intended for researchers and practitioners in academia and industry. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Data Management, Analytics and Innovation / Balas, Valentina Emilia ; Sharma, Neha ; Chakrabarti, Amlan
TÃtulo : Data Management, Analytics and Innovation : Proceedings of ICDMAI 2018, Volume 2 Tipo de documento: documento electrónico Autores: Balas, Valentina Emilia, ; Sharma, Neha, ; Chakrabarti, Amlan, Mención de edición: 1 ed. Editorial: Singapore [Malasia] : Springer Fecha de publicación: 2019 Número de páginas: XIX, 542 p. 196 ilustraciones, 124 ilustraciones en color. ISBN/ISSN/DL: 978-981-1312748-- 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: Telecomunicación Grandes datos Inteligencia artificial IngenierÃa en Comunicaciones Redes Ciencia de los datos Clasificación: 621.382 Telecomunicaciones Resumen: El volumen sobre Gestión de datos, análisis e innovaciones presenta las últimas contribuciones técnicas de alta calidad y resultados de investigación en las áreas de gestión de datos y computación inteligente, gestión de big data, inteligencia artificial y análisis de datos junto con avances en tecnologÃas de redes. Aborda temas de última generación y proporciona desafÃos y soluciones para el desarrollo futuro. CientÃficos de todo el mundo aportan trabajos de investigación originales e inéditos que destacan dominios de investigación especÃficos desde todos los puntos de vista. Este volumen está diseñado principalmente para un público profesional, compuesto por investigadores y profesionales del mundo académico y de la industria. Nota de contenido: An empirical study of website personalization effect on users intention to revisit ecommerce website through cognitive and hedonic experience -- Hierarchical Summarization of Text Documents using Topic Modeling and Formal Concept Analysis -- Green Information and Communication Technology Techniques in Higher Technical Education Institutions for Future Sustainability -- Comparative Study of Different Similarity Metrics in Highly Sparse Rating Dataset -- Multi-Document Summarization & Opinion Mining Using Stack Decoder Method and Neural Networks -- Data mining technology with fuzzy logic, neural networks and machine learning for agriculture -- 6-Tier Design Framework for Smart Solution as a Service (SSaaS) using Big Data. Tipo de medio : Computadora Summary : The volume on Data Management, Analytics and Innovations presents the latest high-quality technical contributions and research results in the areas of data management and smart computing, big data management, artificial intelligence and data analytics along with advances in network technologies. It deals with the state-of-the-art topics and provides challenges and solutions for future development. Original, unpublished research work highlighting specific research domains from all viewpoints are contributed from scientists throughout the globe. This volume is mainly designed for professional audience, composed of researchers and practitioners in academia and industry. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Data Management, Analytics and Innovation : Proceedings of ICDMAI 2018, Volume 2 [documento electrónico] / Balas, Valentina Emilia, ; Sharma, Neha, ; Chakrabarti, Amlan, . - 1 ed. . - Singapore [Malasia] : Springer, 2019 . - XIX, 542 p. 196 ilustraciones, 124 ilustraciones en color.
ISBN : 978-981-1312748--
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: Telecomunicación Grandes datos Inteligencia artificial IngenierÃa en Comunicaciones Redes Ciencia de los datos Clasificación: 621.382 Telecomunicaciones Resumen: El volumen sobre Gestión de datos, análisis e innovaciones presenta las últimas contribuciones técnicas de alta calidad y resultados de investigación en las áreas de gestión de datos y computación inteligente, gestión de big data, inteligencia artificial y análisis de datos junto con avances en tecnologÃas de redes. Aborda temas de última generación y proporciona desafÃos y soluciones para el desarrollo futuro. CientÃficos de todo el mundo aportan trabajos de investigación originales e inéditos que destacan dominios de investigación especÃficos desde todos los puntos de vista. Este volumen está diseñado principalmente para un público profesional, compuesto por investigadores y profesionales del mundo académico y de la industria. Nota de contenido: An empirical study of website personalization effect on users intention to revisit ecommerce website through cognitive and hedonic experience -- Hierarchical Summarization of Text Documents using Topic Modeling and Formal Concept Analysis -- Green Information and Communication Technology Techniques in Higher Technical Education Institutions for Future Sustainability -- Comparative Study of Different Similarity Metrics in Highly Sparse Rating Dataset -- Multi-Document Summarization & Opinion Mining Using Stack Decoder Method and Neural Networks -- Data mining technology with fuzzy logic, neural networks and machine learning for agriculture -- 6-Tier Design Framework for Smart Solution as a Service (SSaaS) using Big Data. Tipo de medio : Computadora Summary : The volume on Data Management, Analytics and Innovations presents the latest high-quality technical contributions and research results in the areas of data management and smart computing, big data management, artificial intelligence and data analytics along with advances in network technologies. It deals with the state-of-the-art topics and provides challenges and solutions for future development. Original, unpublished research work highlighting specific research domains from all viewpoints are contributed from scientists throughout the globe. This volume is mainly designed for professional audience, composed of researchers and practitioners in academia and industry. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Data Management, Analytics and Innovation / Sharma, Neha ; Chakrabarti, Amlan ; Balas, Valentina Emilia
TÃtulo : Data Management, Analytics and Innovation : Proceedings of ICDMAI 2019, Volume 1 Tipo de documento: documento electrónico Autores: Sharma, Neha, ; Chakrabarti, Amlan, ; Balas, Valentina Emilia, Mención de edición: 1 ed. Editorial: Singapore [Malasia] : Springer Fecha de publicación: 2020 Número de páginas: XIV, 740 p. 300 ilustraciones, 218 ilustraciones en color. ISBN/ISSN/DL: 978-981-329-949-8 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: Telecomunicación Grandes datos Inteligencia artificial IngenierÃa en Comunicaciones Redes Ciencia de los datos Clasificación: 621.382 Telecomunicaciones Resumen: Este libro presenta los últimos hallazgos en las áreas de gestión de datos y computación inteligente, gestión de big data, inteligencia artificial y análisis de datos, junto con avances en tecnologÃas de redes. Aborda temas de vanguardia y analiza desafÃos y soluciones para el desarrollo futuro. El libro, que reúne contribuciones originales e inéditas de cientÃficos de todo el mundo, está dirigido principalmente a una audiencia profesional de investigadores y profesionales del mundo académico y de la industria. Nota de contenido: Empirical Study of Soft Clustering Technique for Determining Click Through Rate in Online Advertising -- ASK Approach: A Pre-Migration Approach for Legacy Application Migration to Cloud -- A Fuzzy Logic Based Cardiovascular Disease Risk Level Prediction System in Correlation to Diabetes and Smoking -- An Integrated Fault Classification Approach for Microgrid System -- Role of Data Analytics in Human Resource Management for Prediction of Attrition Using Job Satisfaction -- A Study of Business Performance Management in Special Reference to Automobile Industry. . Tipo de medio : Computadora Summary : This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Data Management, Analytics and Innovation : Proceedings of ICDMAI 2019, Volume 1 [documento electrónico] / Sharma, Neha, ; Chakrabarti, Amlan, ; Balas, Valentina Emilia, . - 1 ed. . - Singapore [Malasia] : Springer, 2020 . - XIV, 740 p. 300 ilustraciones, 218 ilustraciones en color.
ISBN : 978-981-329-949-8
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: Telecomunicación Grandes datos Inteligencia artificial IngenierÃa en Comunicaciones Redes Ciencia de los datos Clasificación: 621.382 Telecomunicaciones Resumen: Este libro presenta los últimos hallazgos en las áreas de gestión de datos y computación inteligente, gestión de big data, inteligencia artificial y análisis de datos, junto con avances en tecnologÃas de redes. Aborda temas de vanguardia y analiza desafÃos y soluciones para el desarrollo futuro. El libro, que reúne contribuciones originales e inéditas de cientÃficos de todo el mundo, está dirigido principalmente a una audiencia profesional de investigadores y profesionales del mundo académico y de la industria. Nota de contenido: Empirical Study of Soft Clustering Technique for Determining Click Through Rate in Online Advertising -- ASK Approach: A Pre-Migration Approach for Legacy Application Migration to Cloud -- A Fuzzy Logic Based Cardiovascular Disease Risk Level Prediction System in Correlation to Diabetes and Smoking -- An Integrated Fault Classification Approach for Microgrid System -- Role of Data Analytics in Human Resource Management for Prediction of Attrition Using Job Satisfaction -- A Study of Business Performance Management in Special Reference to Automobile Industry. . Tipo de medio : Computadora Summary : This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Data Management, Analytics and Innovation / Sharma, Neha ; Chakrabarti, Amlan ; Balas, Valentina Emilia
TÃtulo : Data Management, Analytics and Innovation : Proceedings of ICDMAI 2019, Volume 2 Tipo de documento: documento electrónico Autores: Sharma, Neha, ; Chakrabarti, Amlan, ; Balas, Valentina Emilia, Mención de edición: 1 ed. Editorial: Singapore [Malasia] : Springer Fecha de publicación: 2020 Número de páginas: XII, 500 p. 229 ilustraciones, 177 ilustraciones en color. ISBN/ISSN/DL: 978-981-1393648-- 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: Telecomunicación Grandes datos Inteligencia artificial IngenierÃa en Comunicaciones Redes Ciencia de los datos Clasificación: 621.382 Telecomunicaciones Resumen: Este libro presenta los últimos hallazgos en las áreas de gestión de datos y computación inteligente, gestión de big data, inteligencia artificial y análisis de datos, junto con avances en tecnologÃas de redes. Aborda temas de vanguardia y analiza desafÃos y soluciones para el desarrollo futuro. El libro, que reúne contribuciones originales e inéditas de cientÃficos de todo el mundo, está dirigido principalmente a una audiencia profesional de investigadores y profesionales del mundo académico y de la industria. Nota de contenido: Sequence Mining Based Support Vector Machine with Decision Tree Approach for Efficient Time Series Data Classification -- Identifying Phishing through Web Content and addressed Bar-Based Features -- A Unified Framework for Outfit Design and Advice -- Contextual Relevance of ICT-Call Modules and its Role in Promoting Employability Skills among Engineering Students - A Study -- A Clinically Applicable Automated Risk Classification model for Pulmonary Nodules -- A Generalized Ensemble Machine Learning Approach for Landslide Susceptibility Modeling -- Comparative evaluation of AVIRIS-NG and Hyperion hyperspectral image for mineral identification -- Real-Time Scheduling Approach for IoT based Home Automation System -- Floating car data map-matching utilizing Dijkstra algorithm -- Calculating AQI using Secondary Pollutants for Smart Air Management System -- Enhanced Prediction of Heart Disease using Particle Swarm Optimization and Rough Sets with Transductive Support Vector Machines Classifier -- DataCan: Robust approach for Genome Cancer Data Analysis -- DataAutism: An Early Detection Framework of Autism in Infants using Data Science -- AnaBus: A Proposed Sampling Retrieval Model for Business and Historical Data Analytics -- Abrupt Scene Change Detection using block based Local Directional Pattern -- A FRAMEWORK FOR WEB ARCHIVING AND GUARANTEED RETRIEVAL -- Business Intelligence through Big Data Analytics, Data Mining and Machine Learning -- The Effect of Big Data on the Quality of Decision-Making in Abu Dhabi Government Organisations -- The Impact of Technology Readiness on the Big Data Adoption among UAE Organizations -- Sports Data Analytics : A Case Study of Off-field Behavior of Players using Statistical Approach -- Phrase Based Information Retrieval Analysis in Various Search Engines Using Machine Learning Algorithms -- The Politics of Artificial Intelligence Behaviour and Human Rights Violation Issues in 2016 US Presidential Elections: An Appraisal -- Crop Prediction Using Artificial Neural Network and Support Vector Machine -- A Hybrid and Adaptive Approach for Classification of Indian Stock Market Related Tweets -- Generative Adversarial Networks as an Advancement in 2D to 3D Reconstruction Techniques -- Impact of Artificial Intelligence on Human Resources -- Role of Activation functions and order of input sequences in Question-Answering -- GestTalk — RealTime Gesture to Speech Conversion Glove -- Deep Learning Algorithms for Accurate Prediction of Image Description for E-Commerce Industry -- Taj-Shanvi framework for image fusion using Guided Filters -- Effective Classification & Handling of Incoming Data Packets in Mobile Adhoc Networks (MANETs) using Random Forest Ensemble Technique (RF/ET) -- Community Structure Identification in Social Networks Inspired By Parliamentary Political Competitions -- An Integrated Technique to Ensure Confidentiality and Integrity in Data Transmission through the Strongest and Authentic Hotspot Selection Mechanism -- ML Model to Improve QoS for selection of healthy channel in Wireless Sensor Network -- Performance Analysis of the Mobile WSN for Efficient localization. Tipo de medio : Computadora Summary : This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Data Management, Analytics and Innovation : Proceedings of ICDMAI 2019, Volume 2 [documento electrónico] / Sharma, Neha, ; Chakrabarti, Amlan, ; Balas, Valentina Emilia, . - 1 ed. . - Singapore [Malasia] : Springer, 2020 . - XII, 500 p. 229 ilustraciones, 177 ilustraciones en color.
ISBN : 978-981-1393648--
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: Telecomunicación Grandes datos Inteligencia artificial IngenierÃa en Comunicaciones Redes Ciencia de los datos Clasificación: 621.382 Telecomunicaciones Resumen: Este libro presenta los últimos hallazgos en las áreas de gestión de datos y computación inteligente, gestión de big data, inteligencia artificial y análisis de datos, junto con avances en tecnologÃas de redes. Aborda temas de vanguardia y analiza desafÃos y soluciones para el desarrollo futuro. El libro, que reúne contribuciones originales e inéditas de cientÃficos de todo el mundo, está dirigido principalmente a una audiencia profesional de investigadores y profesionales del mundo académico y de la industria. Nota de contenido: Sequence Mining Based Support Vector Machine with Decision Tree Approach for Efficient Time Series Data Classification -- Identifying Phishing through Web Content and addressed Bar-Based Features -- A Unified Framework for Outfit Design and Advice -- Contextual Relevance of ICT-Call Modules and its Role in Promoting Employability Skills among Engineering Students - A Study -- A Clinically Applicable Automated Risk Classification model for Pulmonary Nodules -- A Generalized Ensemble Machine Learning Approach for Landslide Susceptibility Modeling -- Comparative evaluation of AVIRIS-NG and Hyperion hyperspectral image for mineral identification -- Real-Time Scheduling Approach for IoT based Home Automation System -- Floating car data map-matching utilizing Dijkstra algorithm -- Calculating AQI using Secondary Pollutants for Smart Air Management System -- Enhanced Prediction of Heart Disease using Particle Swarm Optimization and Rough Sets with Transductive Support Vector Machines Classifier -- DataCan: Robust approach for Genome Cancer Data Analysis -- DataAutism: An Early Detection Framework of Autism in Infants using Data Science -- AnaBus: A Proposed Sampling Retrieval Model for Business and Historical Data Analytics -- Abrupt Scene Change Detection using block based Local Directional Pattern -- A FRAMEWORK FOR WEB ARCHIVING AND GUARANTEED RETRIEVAL -- Business Intelligence through Big Data Analytics, Data Mining and Machine Learning -- The Effect of Big Data on the Quality of Decision-Making in Abu Dhabi Government Organisations -- The Impact of Technology Readiness on the Big Data Adoption among UAE Organizations -- Sports Data Analytics : A Case Study of Off-field Behavior of Players using Statistical Approach -- Phrase Based Information Retrieval Analysis in Various Search Engines Using Machine Learning Algorithms -- The Politics of Artificial Intelligence Behaviour and Human Rights Violation Issues in 2016 US Presidential Elections: An Appraisal -- Crop Prediction Using Artificial Neural Network and Support Vector Machine -- A Hybrid and Adaptive Approach for Classification of Indian Stock Market Related Tweets -- Generative Adversarial Networks as an Advancement in 2D to 3D Reconstruction Techniques -- Impact of Artificial Intelligence on Human Resources -- Role of Activation functions and order of input sequences in Question-Answering -- GestTalk — RealTime Gesture to Speech Conversion Glove -- Deep Learning Algorithms for Accurate Prediction of Image Description for E-Commerce Industry -- Taj-Shanvi framework for image fusion using Guided Filters -- Effective Classification & Handling of Incoming Data Packets in Mobile Adhoc Networks (MANETs) using Random Forest Ensemble Technique (RF/ET) -- Community Structure Identification in Social Networks Inspired By Parliamentary Political Competitions -- An Integrated Technique to Ensure Confidentiality and Integrity in Data Transmission through the Strongest and Authentic Hotspot Selection Mechanism -- ML Model to Improve QoS for selection of healthy channel in Wireless Sensor Network -- Performance Analysis of the Mobile WSN for Efficient localization. Tipo de medio : Computadora Summary : This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Suicide Among Diverse Youth : A Case-Based Guidebook Tipo de documento: documento electrónico Autores: Pumariega, Andres J., ; Sharma, Neha, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2018 Número de páginas: XIV, 248 p. 8 ilustraciones, 5 ilustraciones en color. ISBN/ISSN/DL: 978-3-319-66203-9 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: PsicologÃa del desarrollo Medicina Familiar PsicologÃa Infantil y de la Adolescencia Medicina General y Medicina Familiar Clasificación: 155 Psicología diferencial desarrollo Resumen: Este libro proporciona una revisión integral de los complejos y crecientes desafÃos de salud mental que enfrentan poblaciones culturalmente diversas de niños y adolescentes. Suicidio entre jóvenes diversos: una guÃa basada en casos es el primer libro de este tipo y está diseñado especÃficamente para unir el conocimiento. y la brecha de habilidades que enfrentan la mayorÃa de los médicos que tratan con jóvenes de diversos orÃgenes culturales, particularmente aquellos diferentes al del médico. El tÃtulo comienza con dos capÃtulos introductorios, que cubren aspectos culturales del suicidio entre los jóvenes, el tratamiento culturalmente informado del suicidio en jóvenes diversos y ejemplos de enfoques preventivos. A estos les siguen capÃtulos especÃficos de población que cubren un amplio espectro de poblaciones diversas, incluidas poblaciones étnicas y raciales desatendidas en los Estados Unidos, jóvenes LGBTQ, asà como diversas poblaciones de inmigrantes de paÃses de Europa del Este y Medio Oriente. Estos capÃtulos basados ​​en casos están estructurados en un formato cohesivo y fácil de leer que promueve la facilidad de referencia, comenzando con un informe de caso clÃnico, revisión de la literatura, caracterÃsticas únicas y factores de riesgo asociados con el suicidio y práctica basada en evidencia proporcionada por el autores gracias a su considerable experiencia. Los autores suelen pertenecer al mismo grupo étnico, racial o cultural del que hablan en sus escritos; Proporcionar conocimiento experiencial donde falta conocimiento cientÃfico. Suicidio entre jóvenes diversos: una guÃa basada en casos es un recurso único que ofrece el material clÃnico necesario para tratar a pacientes adolescentes diversos con atención sensible, interseccional y culturalmente informada, y proporcionará un recurso indispensable para los profesionales médicos que trabajan y cuidan. para estos pacientes. Nota de contenido: Preface -- Foreword -- 1. Cultural Aspects of Suicidality Among Youth -- 2. Culturally Informed Treatment of Suicidality with Diverse Youth: General Principles -- 3. Suicide Among African-American and Other African-Origin Youth -- 4. Suicide Among American Indian, Alaskan Native, and Native Hawaiian Pacific Islander Youth: An Unrealized Future -- 5. Suicide Among Latino Youth -- 6. Suicide Among South Asian Youth in America -- 7. Suicide Among South East Asian Youth -- 8. Suicide Among East Asian Youth -- 9. Suicide Among Turkish American Youth -- 10. Suicide Among Youth of Middle Eastern Origin -- 11. Suicide Among Eastern European Immigrant Youth -- 12. Suicide Among Youth of Soviet Jewish Origin -- 13. Suicide and Self-Harm Among Sexual and Gender Minority Youth: Resilience, Coping, and Despair -- 14. Family and Community Intervention in Suicide Prevention and Management. Tipo de medio : Computadora Summary : This book provides a comprehensive review of the complex, growing mental health challenges faced by culturally diverse populations of children and adolescents.Suicide Among Diverse Youth: A Case-Based Guidebook is the first book of its kind, and is designed specifically to bridge the knowledge and skills gap encountered by most clinicians dealing with youth from diverse cultural backgrounds, particularly those different than that of the clinician. The title begins with two introductory chapters, which cover cultural aspects of suicidality among youth, culturally informed treatment of suicidality with diverse youth, and exampl es of preventative approaches. These are followed by population specific chapters which cover a broad spectrum of diverse populations, including underserved ethnic and racial populations in the United States, LGBTQ youth, as well as various immigrant populations from Eastern European and Middle Eastern countries. These case-based chapters arestructured in a cohesive, easy-to-read format that promotes ease of reference, beginning with a clinical case report, review of literature, unique characteristics and risk factors associated with suicidality, and evidence-based practice provided by the authors from their considerable experience. The authors are often from the same ethnic, racial, or cultural group that they discuss in their writings; providing experiential knowledge where scientific knowledge is lacking. Suicide Among Diverse Youth: A Case-Based Guidebook is a unique resource that offers the clinical material needed to treat diverse adolescent patients with sensitive, intersectional, and culturally-informed care, and will provide an indispensable resource for medical professionals working with, and caring for these patients. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Suicide Among Diverse Youth : A Case-Based Guidebook [documento electrónico] / Pumariega, Andres J., ; Sharma, Neha, . - 1 ed. . - [s.l.] : Springer, 2018 . - XIV, 248 p. 8 ilustraciones, 5 ilustraciones en color.
ISBN : 978-3-319-66203-9
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: PsicologÃa del desarrollo Medicina Familiar PsicologÃa Infantil y de la Adolescencia Medicina General y Medicina Familiar Clasificación: 155 Psicología diferencial desarrollo Resumen: Este libro proporciona una revisión integral de los complejos y crecientes desafÃos de salud mental que enfrentan poblaciones culturalmente diversas de niños y adolescentes. Suicidio entre jóvenes diversos: una guÃa basada en casos es el primer libro de este tipo y está diseñado especÃficamente para unir el conocimiento. y la brecha de habilidades que enfrentan la mayorÃa de los médicos que tratan con jóvenes de diversos orÃgenes culturales, particularmente aquellos diferentes al del médico. El tÃtulo comienza con dos capÃtulos introductorios, que cubren aspectos culturales del suicidio entre los jóvenes, el tratamiento culturalmente informado del suicidio en jóvenes diversos y ejemplos de enfoques preventivos. A estos les siguen capÃtulos especÃficos de población que cubren un amplio espectro de poblaciones diversas, incluidas poblaciones étnicas y raciales desatendidas en los Estados Unidos, jóvenes LGBTQ, asà como diversas poblaciones de inmigrantes de paÃses de Europa del Este y Medio Oriente. Estos capÃtulos basados ​​en casos están estructurados en un formato cohesivo y fácil de leer que promueve la facilidad de referencia, comenzando con un informe de caso clÃnico, revisión de la literatura, caracterÃsticas únicas y factores de riesgo asociados con el suicidio y práctica basada en evidencia proporcionada por el autores gracias a su considerable experiencia. Los autores suelen pertenecer al mismo grupo étnico, racial o cultural del que hablan en sus escritos; Proporcionar conocimiento experiencial donde falta conocimiento cientÃfico. Suicidio entre jóvenes diversos: una guÃa basada en casos es un recurso único que ofrece el material clÃnico necesario para tratar a pacientes adolescentes diversos con atención sensible, interseccional y culturalmente informada, y proporcionará un recurso indispensable para los profesionales médicos que trabajan y cuidan. para estos pacientes. Nota de contenido: Preface -- Foreword -- 1. Cultural Aspects of Suicidality Among Youth -- 2. Culturally Informed Treatment of Suicidality with Diverse Youth: General Principles -- 3. Suicide Among African-American and Other African-Origin Youth -- 4. Suicide Among American Indian, Alaskan Native, and Native Hawaiian Pacific Islander Youth: An Unrealized Future -- 5. Suicide Among Latino Youth -- 6. Suicide Among South Asian Youth in America -- 7. Suicide Among South East Asian Youth -- 8. Suicide Among East Asian Youth -- 9. Suicide Among Turkish American Youth -- 10. Suicide Among Youth of Middle Eastern Origin -- 11. Suicide Among Eastern European Immigrant Youth -- 12. Suicide Among Youth of Soviet Jewish Origin -- 13. Suicide and Self-Harm Among Sexual and Gender Minority Youth: Resilience, Coping, and Despair -- 14. Family and Community Intervention in Suicide Prevention and Management. Tipo de medio : Computadora Summary : This book provides a comprehensive review of the complex, growing mental health challenges faced by culturally diverse populations of children and adolescents.Suicide Among Diverse Youth: A Case-Based Guidebook is the first book of its kind, and is designed specifically to bridge the knowledge and skills gap encountered by most clinicians dealing with youth from diverse cultural backgrounds, particularly those different than that of the clinician. The title begins with two introductory chapters, which cover cultural aspects of suicidality among youth, culturally informed treatment of suicidality with diverse youth, and exampl es of preventative approaches. These are followed by population specific chapters which cover a broad spectrum of diverse populations, including underserved ethnic and racial populations in the United States, LGBTQ youth, as well as various immigrant populations from Eastern European and Middle Eastern countries. These case-based chapters arestructured in a cohesive, easy-to-read format that promotes ease of reference, beginning with a clinical case report, review of literature, unique characteristics and risk factors associated with suicidality, and evidence-based practice provided by the authors from their considerable experience. The authors are often from the same ethnic, racial, or cultural group that they discuss in their writings; providing experiential knowledge where scientific knowledge is lacking. Suicide Among Diverse Youth: A Case-Based Guidebook is a unique resource that offers the clinical material needed to treat diverse adolescent patients with sensitive, intersectional, and culturally-informed care, and will provide an indispensable resource for medical professionals working with, and caring for these patients. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]