Tabla de Contenidos: “…Analytics for Insurance: The Real Business of Big Data; Contents; Preface; Acknowledgements; About the Author; Chapter 1: Introduction - The New 'Real Business'; 1.1 On the Point of Transformation; 1.1.1 Big Data Defined by Its Characteristics; 1.1.2 The Hierarchy of Analytics, and How Value is Obtained from Data; 1.1.3 Next Generation Analytics; 1.1.4 Between the Data and the Analytics; 1.2 Big Data and Analytics for all Insurers; 1.2.1 Three Key Imperatives; 1.2.2 The Role of Intermediaries; 1.2.3 Geographical Perspectives; 1.2.4 Analytics and the Internet of Things…”

“…Impact of Big Data and Artificial Intelligence…”

“…The analysis of Big Data in biomedical as well as business and financial research has drawn much attention from researchers worldwide. …”

Tabla de Contenidos: “…Architectural considerations for Hadoop applications / Mark Grover [and three others] -- Using Spark in the Hadoop ecosystem / Rich Morrow -- Mastering Apache Sqoop / David Yahalom -- Big data governance / Steven Totman [and three others] -- Preventing a big data security breach / Sam Heywood, Nick Curcuru, Ritu Kama -- Hive + Amazon EMR + S3 = Elastic big data SQL analytics processing in the cloud , a real world case study / Jaipaul Agonus…”

“…These are some of the questions asked by Arve Peder Overland in Always On: Digital Brand Strategy in a Big Data World. Companies have different needs and live in vastly different environments. …”

“…Big Data, Little Data, No Data…”

“…Se hace un estudio de las diferentes metodologías ágiles y predictivas en especial las primeras, para la obtención de datos, con la finalidad de encontrar la metodología Agile que mejor se adapte a proyectos de Big Data o Data Mining…”
Clic para texto completo. Acceso abierto.

Tabla de Contenidos: “…Contiene: Capítulo 1. BIG DATA E INTERNET DE LAS COSAS: SU IMPACTO EN EL DERECHO DE LA COMPETENCIA Y DE LA PROPIEDAD INDUSTRIAL E INTELECTUAL / Ángel García Vidal. - Capítulo 2. …”
>Texto completo en Biblioteca Virtual Tirant

>Texto completo en Biblioteca Virtual Tirant

Visualitzar TFG

Visualitzar TFG

Visualitzar TFG

Materias:

Tabla de Contenidos: “…Introduction -- Cryptography Core Technology -- Secure Primitive for big data utilization -- Secure Data Management Technology -- Living Safety Testbed Group -- Health Test Bed Group…”

Tabla de Contenidos: “…Why High-Performance Modelling and Simulation for Big Data Applications Matters -- Parallelization of hierarchical matrix algorithms for electromagnetic scattering problems -- Tail Distribution and Extreme Quantile Estimation using Non-Parametric Approaches -- Towards efficient and scalable data-intensive content delivery: State-of-the-art, issues and challenges -- Big Data in 5G Distributed Applications -- Big Data Processing, Analysis and Applications in Mobile Cellular Networks -- Medical Data Processing and Analysis for Remote Health and Activities Monitoring -- Towards human cell simulation -- Cloud-based High Throughput Virtual Screening in Novel Drug Discovery -- Ultra Wide Band Body Area Networks: Design and integration with Computational Clouds -- Survey on AI-based multimodal methods for emotion detection -- Forecasting Cryptocurrency Value by Sentiment Analysis: An HPC-oriented Survey of the State-of-the-Art in the Cloud Era…”

“…Machine Learning, Big Data, and IoT for Medical Informatics focuses on the latest techniques adopted in the field of medical informatics. …”

Materias:

Tabla de Contenidos: “…chapter 1 Introduction -- part PART I Supporting Technologies for BDMA and BDSP -- chapter Introduction to Part I -- chapter 2 Data Security and Privacy -- chapter 3 Data Mining Techniques -- chapter 4 Data Mining for Security Applications -- chapter 5 Cloud Computing and Semantic Web Technologies -- chapter 6 Data Mining and Insider Threat Detection -- chapter 7 Big Data Management and Analytics Technologies -- chapter Conclusion to Part I -- part PART II Stream Data Analytics -- chapter Introduction to Part II -- chapter 8 Challenges for Stream Data Classification -- chapter 9 Survey of Stream Data Classification -- chapter 10 A Multi-Partition, Multi-Chunk Ensemble for Classifying Concept-Drifting Data Streams -- chapter 11 Classification and Novel Class Detection in Concept-Drifting Data Streams -- chapter 12 Data Stream Classification with Limited Labeled Training Data -- chapter 13 Directions in Data Stream Classification -- chapter Conclusion to Part II -- part PART III Stream Data Analytics for Insider Threat Detection -- chapter Introduction to Part III -- chapter 14 Insider Threat Detection as a Stream Mining Problem -- chapter 15 Survey of Insider Threat and Stream Mining -- chapter 16 Ensemble-Based Insider Threat Detection -- chapter 17 Details of Learning Classes -- chapter 18 Experiments and Results for Nonsequence Data -- chapter 19 Insider Threat Detection for Sequence Data -- chapter 20 Experiments and Results for Sequence Data -- chapter 21 Scalability Using Big Data Technologies -- chapter 22 Stream Mining and Big Data for Insider Threat Detection -- chapter Conclusion to Part III -- part PART IV Experimental BDMA and BDSP Systems -- chapter Introduction to Part IV -- chapter 23 Cloud Query Processing System for Big Data Management -- chapter 24 Big Data Analytics for Multipurpose Social Media Applications -- chapter 25 Big Data Management and Cloud for Assured Information Sharing -- chapter 26 Big Data Management for Secure Information Integration -- chapter 27 Big Data Analytics for Malware Detection -- chapter 28 A Semantic Web-Based Inference Controller for Provenance Big Data -- part PART V Next Steps for BDMA and BDSP -- chapter Introduction to Part V -- chapter 29 Confidentiality, Privacy, and Trust for Big Data Systems -- chapter 30 Unified Framework for Secure Big Data Management and Analytics -- chapter 31 Big Data, Security, and the Internet of Things -- chapter 32 Big Data Analytics for Malware Detection in Smartphones -- chapter 33 Toward a Case Study in Healthcare for Big Data Analytics and Security -- chapter 34 Toward an Experimental Infrastructure and Education Program for BDMA and BDSP -- chapter 35 Directions for BDSP and BDMA -- chapter Conclusion to Part V -- chapter 36 Summary and Directions…”

“…Informação, conhecimento, ação autà ́noma e big data…”