Visualitzar TFM

Visualitzar TFM

Visualitzar TFM

Visualitzar TFM

Visualitzar TFM

“…Their ideas, shows Lewis, helped shape our world revolutionising everything from Big Data to medicine, money to sport and changed humankind's view of its own mind…”

“…Sections of the volume address computational theories of human cognitive architecture; cognitive functioning, such as problem solving and decision making as they have been studied with both experimental methods and formal modeling approaches; and cognitive linguistics and the advent of big data. Chapters provide concise introductions to the present achievements of cognitive science, supplemented by references to suggested reading, and additional facets of cognitive science are discussed in the handbook's introductory chapter, complementing other key publications to access for further study -- Editor…”

“…You'll dive into the role of graphs in machine learning and big data platforms, and take an in-depth look at data source modeling, algorithm design, recommendations, and fraud detection. …”

Tabla de Contenidos: “…Executive summary -- Foreword -- Building a smarter health and wellness future: Privacy and security challenges -- Converging technologies for a smarter health and wellness future -- Objectives and issues in integrating social care and health care delivery -- Actions to build a smarter health and wellness future -- From personalised to ubiquitous care -- Smart participatory care models -- Health and wellness needs -- Integrating personalised medicine into health care: Opportunities and challenges -- Managing our own health and well-being: Australia's personally controlled electronic health record -- Strengthening our capability to analyse big data streams in health systems: The challenges…”

“…Use an innovative approach that relies on big data and advanced analytical techniques to analyze and improve Oracle Database performance. …”

Tabla de Contenidos: “…2.4.2 Application of Industry 4.0 in Transportation -- 2.4.3 Challenges of Implementing Industry 4.0 in Transportation -- 2.5 Industry 4.0 in Healthcare: Overview -- 2.5.1 Benefits of Industry 4.0 in Healthcare -- 2.5.2 Healthcare Professional Applications -- 2.5.3 Challenges of Implementing Industry 4.0 in Healthcare -- 2.6 Future of Industry 4.0 in Terms of Emerging Trends and Technologies -- 2.7 Implications of Industry 4.0 on Various Sectors -- 2.8 Opportunities for Businesses and Industries -- 2.8.1 Challenges for Businesses and Industries -- 2.9 Conclusion -- References -- Chapter 3: Data Analytics and Big Data Analytics -- 3.1 Introduction to Data Analytics -- 3.1.1 Types of Data Analytics Techniques -- 3.1.2 Distinction between Big Data, Data Analytics, and Data Science -- 3.2 Literature Survey -- 3.3 An Overview of Big Data Analytics -- 3.3.1 Difference between Big Data and Data Analytics -- 3.3.2 The Three Vs of Big Data -- 3.3.3 Big Data Analyticsâ€TM Advantages and Benefits -- 3.3.4 Steps for Big Data Analytics -- 3.4 Process of Generation of Big Data Analytics for Manufacturing -- 3.4.1 Big Data Analysisâ€TMs Function in Manufacturing -- 3.4.2 Several of the Most Well-Known Actual Applications of Big Data in Manufacturing -- 3.4.3 Utilizing Big Data in the Manufacturing Industry -- 3.5 Utilizing Big Data Analytics for Manufacturing Market Analysis -- 3.6 Global Big Data Insights for the Manufacturing Sector -- 3.7 Conclusion -- References -- Chapter 4: Artificial Intelligence Empowered Smart Manufacturing for Modern Society: A Review -- 4.1 Introduction to AI, Smart Manufacturing -- 4.1.1 Challenges and Opportunities -- 4.2 AI Applications in Manufacturing -- 4.3 Benefits and Challenges with AI -- 4.4 Emerging Technologies Enabling Smart Manufacturing -- 4.4.1 Internet of Things (IoT) in Smart Manufacturing…”

Tabla de Contenidos: “…2.4.1 Web of Things versus Internet of Things -- 2.4.2 Architecture Standardization for WoT -- 2.4.3 Platform Middleware for WoT -- 2.4.4 Unified Multitier WoT Architecture -- 2.4.5 WoT Portals and Business Intelligence -- 2.5 Multimedia Internet of Things -- 2.6 Internet of Mobile Things -- 2.7 Internet of Ships -- 2.8 Internet of Hybrid Energy Harvesting Things -- 2.8.1 Concepts -- 2.8.2 Comparison of Existing Energy Harvesting Techniques -- 2.8.3 Existing Energy Harvesting Techniques -- 2.8.4 Hybrid Energy Harvesting -- References -- Chapter 3 Wireless Protocols and Technologies for the Internet of Things -- 3.1 WPAN Technologies for IoT -- 3.1.1 IEEE 802.15.4 -- 3.1.2 Zigbee -- 3.1.3 HART -- 3.1.4 NFC -- 3.1.5 Z-Wave -- 3.1.6 Bluetooth/BLE (Bluetooth Low Energy) -- 3.1.7 BACnet -- 3.1.8 Modbus -- 3.1.9 Li-Fi -- 3.1.10 Wi-Fi -- 3.2 IP-Based Networking Protocols for IoT -- 3.2.1 Overview of Networking -- 3.2.2 TCP/IP (IPv6) -- 3.2.3 6LoWPAN -- 3.2.4 RPL -- 3.2.5 REST -- 3.2.6 AMQP -- 3.2.7 XMPP -- 3.2.8 CoAP -- 3.2.9 MQTT -- 3.2.10 LoRa -- 3.3 Network and Communication Aspect -- 3.3.1 Wireless Medium Access Issues -- 3.3.2 MAC Protocol Survey -- 3.3.3 Survey of Routing Protocols -- 3.3.4 Sensor Deployment and Node Discovery -- 3.3.5 Data Aggregation and Dissemination -- References -- Chapter 4 Data Handling and Analytics -- 4.1 Introduction to Big Data -- 4.1.1 Why Big Data? -- 4.1.2 Big Data Examples -- 4.1.3 Types of Data -- 4.2 Big Data Architecture -- 4.3 Characteristics of Big Data -- 4.4 Big Data Challenges -- 4.5 Big Data Technologies Stack -- 4.6 Advantages of Big Data Analytics -- 4.7 Relationship between Big Data and the Internet of Things -- 4.8 Applications of Big Data -- 4.8.1 Applications of Big Data and IoT in Different Industries -- 4.8.2 Big Data Companies: Top Companies Using Big Data -- 4.9 IoT and Big Data Use Cases…”

Tabla de Contenidos: “…/ Tamati Shepherd -- Realising the potential of big data / Marie Johnson -- Digital strangers, digital natives: Challenging the norm to create Change@SouthAustralia / Erma Ranieri…”

Tabla de Contenidos: “…Cover ; Title Page ; Copyright ; Contents ; Introduction ; Chapter 1: Hadoop Introduction ; Business Analytics and Big Data ; The Components of Hadoop ; The Distributed File System (HDFS) ; What Is MapReduce? …”

Tabla de Contenidos: “…Praise; Title page; Copyright; Foreword; Preface; Strategy 1 Find Growth Before Your Competitors Do; Chapter 1 Look Ten Quarters Ahead; Surf the Trends; Invest Ahead of Demand; Make It a Way of Life; Notes; Chapter 2 Mine Growth beneath the Surface; Find the Pockets of Growth; Look beyond Sales; Keep It Easy for the Sales Team; Notes; Chapter 3 Find Big Growth in Big Data; Harvest Every Source of Big Data; Get Personal in Selling; Put Big Data at the Heart of Sales; Notes; Strategy 2 Sell the Way Your Customers Want; Chapter 4 Master Multichannel Sales; Blend Remote Sales and Field Sales…”

Tabla de Contenidos: “…Cover -- Copyright -- Credits -- About the Author -- About the Reviewer -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: Configuring HBase -- Introduction -- Configuring and deploying HBase -- Using the filesystem -- Administering clusters -- Managing clusters -- Chapter 2: Loading Data from Various DBs -- Introduction -- Extracting data from Oracle -- Loading data using Oracle Big data connector -- Bulk utilities -- Using Hive with Apache HBase -- Using Sqoop -- Chapter 3: Working with Large Distributed Systems Part I -- Introduction -- Scaling elastically or Auto Scaling with built-in fault tolerance -- Auto Scaling HBase using AWS -- Works on different VM/physical, cloud hardware -- Chapter 4: Working with Large Distributed Systems Part II -- Introduction -- Read path -- Write Path -- Snappy -- LZO compression -- LZ4 compressor -- Replication -- Chapter 5: Working with Scalable Structure of tables -- Introduction -- HBase data model part 1 -- HBase data model part 2 -- How HBase truly scales on key and schema design -- Chapter 6: HBase Clients -- Introduction -- HBase REST and Java Client -- Working with Apache Thrift -- Working with Apache Avro -- Working with Protocol buffer -- Working with Pig and using Shell -- Chapter 7: Large-Scale MapReduce -- Introduction -- Chapter 8: HBase Performance Tuning -- Introduction -- Working with infrastructure/operating systems -- Working with Java virtual machines -- Changing the configuration of components -- Working with HDFS -- Chapter 9: Performing Advanced Tasks on Hbase -- Machine learning using Hbase -- Real-time data analysis using Hbase and Mahout -- Full text indexing using Hbase -- Chapter 10: Optimizing Hbase for Cloud -- Introduction -- Configuring Hbase for the Cloud -- Connecting to an Hbase cluster using the command line…”

Tabla de Contenidos: “…Introduction / Current research methodologies of scholars in the visual arts: Toward an emerging model in image and text retrieval for the domain / From photogrammetry to Big Data: A case study of their possibilities for digital art history / Imaging technologies applied to questions of authorship / Time machines / Vorsprung durch Technik: Multi-display learning spaces and art-historical method / Virtual museum: The concept and transformation / A field guide for analyzing the curation of online social networks of arts / The hyperimage: Toward a theory of expanded photography / Conclusion: Technology-technique-transformation…”

Tabla de Contenidos: “…Health Care Data Analytics over Big Data 7. Bluetooth: state of the Art, Taxonomy, and Open issues for managing security services in heterogeneous networks…”

Tabla de Contenidos: “…Professional Hadoop® Solutions; Copyright; Credits; About the Authors; About the Technical Editors; Acnowledgments; Contents; Introduction; Who This Book Is For; What This Book Covers; How This Book Is Structured; What You Need to Use This Book; Conventions; Source Code; Errata; P2P.Wrox.Com; Chapter 1: Big Data and the Hadoop Ecosystem; Big Data Meets Hadoop; Hadoop: Meeting the Big Data Challenge; Data Science in the Business World; The Hadoop Ecosystem; Hadoop Core Components; Hadoop Distributions; Developing Enterprise Applications with Hadoop; Summary; Chapter 2: Storing Data in Hadoop…”

Tabla de Contenidos: “…Hyperparameters of CNNs -- Image Classification Using a CNN Model Based on LeNet Architecture -- Summary -- Exercise -- References -- Chapter 10: Recurrent Neural Networks (RNNs) for Predictive Analytics -- Recurrent Neural Networks -- Long Short-Term Memory -- Forget Gate -- Input Gate -- Output Gate -- More Details of the LSTM -- Hyperparameters for RNNs -- Summary -- Exercise -- References -- Chapter 11: Recommender Systems for Predictive Analytics -- Content-Based Filtering -- Cosine Similarity -- Collaborative Filtering -- User-Based Collaborative Filtering (UBCF) -- Item-Based Collaborative Filtering (IBCF) -- Hybrid Recommendation Systems -- Examples of Using Hybrid Recommendation Systems -- Summary -- Exercise -- References -- Chapter 12: Architecting Big Data Analytical Pipeline -- Big Data Technology Landscape and Analytics Platform -- Data Pipeline Architecture -- Lambda Architecture -- Twitter and Pinterest's Data Pipeline Architecture -- Design Strategies for Building Customized Big Data Pipeline -- Design Patterns and Pattern Languages -- Summary -- Exercise -- References -- Glossary of Terms -- Index…”