Artificial Intelligence Big Data Travelling Consumption Prediction
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| Author | : Anand Deshpande |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 371 |
| Release | : 2018-05-22 |
| Genre | : Computers |
| ISBN | : 1788476018 |
Build next-generation Artificial Intelligence systems with Java Key Features Implement AI techniques to build smart applications using Deeplearning4j Perform big data analytics to derive quality insights using Spark MLlib Create self-learning systems using neural networks, NLP, and reinforcement learning Book Description In this age of big data, companies have larger amount of consumer data than ever before, far more than what the current technologies can ever hope to keep up with. However, Artificial Intelligence closes the gap by moving past human limitations in order to analyze data. With the help of Artificial Intelligence for big data, you will learn to use Machine Learning algorithms such as k-means, SVM, RBF, and regression to perform advanced data analysis. You will understand the current status of Machine and Deep Learning techniques to work on Genetic and Neuro-Fuzzy algorithms. In addition, you will explore how to develop Artificial Intelligence algorithms to learn from data, why they are necessary, and how they can help solve real-world problems. By the end of this book, you'll have learned how to implement various Artificial Intelligence algorithms for your big data systems and integrate them into your product offerings such as reinforcement learning, natural language processing, image recognition, genetic algorithms, and fuzzy logic systems. What you will learn Manage Artificial Intelligence techniques for big data with Java Build smart systems to analyze data for enhanced customer experience Learn to use Artificial Intelligence frameworks for big data Understand complex problems with algorithms and Neuro-Fuzzy systems Design stratagems to leverage data using Machine Learning process Apply Deep Learning techniques to prepare data for modeling Construct models that learn from data using open source tools Analyze big data problems using scalable Machine Learning algorithms Who this book is for This book is for you if you are a data scientist, big data professional, or novice who has basic knowledge of big data and wish to get proficiency in Artificial Intelligence techniques for big data. Some competence in mathematics is an added advantage in the field of elementary linear algebra and calculus.
| Author | : N. Padmaja |
| Publisher | : Emerald Group Publishing |
| Total Pages | : 116 |
| Release | : 2024-02-22 |
| Genre | : Business & Economics |
| ISBN | : 1835493408 |
Big Data Analytics for the Prediction of Tourist Preferences Worldwide explores the benefits, importance and demonstrates how Big Data can be applied in predicting tourist preferences and delivering tourism services in a customer friendly manner.
| Author | : Talukder, Mohammad Badruddoza |
| Publisher | : IGI Global |
| Total Pages | : 800 |
| Release | : 2024-08-29 |
| Genre | : Business & Economics |
| ISBN | : |
In the age of artificial intelligence (AI), hotel and travel management are undergoing transformations to revolutionize guest experiences, make operations efficient, and improve industry standards. AI technologies redefine how hotels and travel companies personalize customer interactions, streamline operations, and optimize revenue management. From tools like chatbots and virtual assistants to predictive analytics, AI enables increased efficiency and customization. As AI continues to evolve, questions must be raised about data privacy, ethical use or algorithms, and the roles of hospitality workers as technology becomes pivotal. Hotel and Travel Management in the AI Era explores the intersection of AI and hotel and travel management, showcasing its potential for innovation and the challenges it presents for workers in the hospitality industry. It posits effective solutions for managing technology integration in an industry where the human aspect of management is pivotal. This book covers topics such as virtual and augmented reality, smart technology, and risk management, and is a useful resource for hospitality and tourism professionals, security workers, computer engineers, business owners, sociologists, researchers, and academicians.
| Author | : Zheng Xiang |
| Publisher | : Springer Nature |
| Total Pages | : 1976 |
| Release | : 2022-09-01 |
| Genre | : Business & Economics |
| ISBN | : 3030486524 |
This handbook provides an authoritative and truly comprehensive overview both of the diverse applications of information and communication technologies (ICTs) within the travel and tourism industry and of e-tourism as a field of scientific inquiry that has grown and matured beyond recognition. Leading experts from around the world describe cutting-edge ideas and developments, present key concepts and theories, and discuss the full range of research methods. The coverage accordingly encompasses everything from big data and analytics to psychology, user behavior, online marketing, supply chain and operations management, smart business networks, policy and regulatory issues – and much, much more. The goal is to provide an outstanding reference that summarizes and synthesizes current knowledge and establishes the theoretical and methodological foundations for further study of the role of ICTs in travel and tourism. The handbook will meet the needs of researchers and students in various disciplines as well as industry professionals. As with all volumes in Springer’s Major Reference Works program, readers will benefit from access to a continually updated online version.
| Author | : Luciana Lazzeretti |
| Publisher | : Taylor & Francis |
| Total Pages | : 207 |
| Release | : 2024-10-04 |
| Genre | : Business & Economics |
| ISBN | : 1040144306 |
This volume offers a wide-ranging discussion on the interrelations among AI, algorithms, big data, and Industry 4.0 to understand the importance of these new paradigms for the development of firms, districts, clusters, cities, regions, and innovation. Drawing on theoretical, empirical, and qualitative studies and using local perspectives, the chapters in this book explore theoretical aspects of AI and its evolution in social sciences, focusing on industry 4.0, smart cities, big data, and other related topics. They examine the role of industrial robots in employment, productivity, and knowledge absorption in industrial districts. They also discuss innovation in the context of local production systems, AI ecosystems, and the growth and potential of the Metaverse. Taken together, the book offers insights to help understand the new dynamics generated by the advent of these technologies and how they may affect regions, cities, clusters, industries, and organizations, and identifies avenues for future research in the development of new trajectories for clusters and firms. This book will be a key resource for scholars and advanced students in the fields of economics, geography, architecture, planning, and management as well as for interdisciplinary researchers who want to learn more about the development of new technologies, the relevance of AI, Big Data and I4.0 for firms and in relation to their adoption in clusters. This book was originally published as a special issue of European Planning Studies.
| Author | : Sam Goundar |
| Publisher | : CRC Press |
| Total Pages | : 361 |
| Release | : 2022-10-19 |
| Genre | : Computers |
| ISBN | : 1000652513 |
This book focuses on different algorithms and models related to AI, big data and IoT used for various domains. It enables the reader to have a broader and deeper understanding of several perspectives regarding the dynamics, challenges, and opportunities for sustainable development using artificial intelligence, big data and IoT. Applications of Artificial Intelligence, Big Data and Internet of Things (IoT) in Sustainable Development focuses on IT-based advancements in multidisciplinary fields such as healthcare, finance, bioinformatics, industrial automation, and environmental science. The authors discuss the key issues of security, management, and the realization of possible solutions to hurdles in sustainable development. The reader will master basic concepts and deep insights of various algorithms and models for various applications such as healthcare, finance, education, smart cities, smart cars, among others. Finally, the book will also examine the applications and implementation of big data IoT, AI strategies to facilitate the sustainable development goals set by the United Nations by 2030. This book is intended to help researchers, academics, and policymakers to analyze the challenges and future aspects for maintaining sustainable development through IoT, big data, and AI.
| Author | : Yousef Farhaoui |
| Publisher | : Springer Nature |
| Total Pages | : 581 |
| Release | : |
| Genre | : |
| ISBN | : 3031650182 |
| Author | : Ansgar Steland |
| Publisher | : Springer Nature |
| Total Pages | : 378 |
| Release | : 2022-11-15 |
| Genre | : Mathematics |
| ISBN | : 3031071557 |
This book discusses the interplay between statistics, data science, machine learning and artificial intelligence, with a focus on environmental science, the natural sciences, and technology. It covers the state of the art from both a theoretical and a practical viewpoint and describes how to successfully apply machine learning methods, demonstrating the benefits of statistics for modeling and analyzing high-dimensional and big data. The book’s expert contributions include theoretical studies of machine learning methods, expositions of general methodologies for sound statistical analyses of data as well as novel approaches to modeling and analyzing data for specific problems and areas. In terms of applications, the contributions deal with data as arising in industrial quality control, autonomous driving, transportation and traffic, chip manufacturing, photovoltaics, football, transmission of infectious diseases, Covid-19 and public health. The book will appeal to statisticians and data scientists, as well as engineers and computer scientists working in related fields or applications.
| Author | : Yousef Farhaoui |
| Publisher | : Springer Nature |
| Total Pages | : 541 |
| Release | : |
| Genre | : |
| ISBN | : 303165014X |
| Author | : Sanjeevikumar Padmanaban |
| Publisher | : John Wiley & Sons |
| Total Pages | : 404 |
| Release | : 2022-12-20 |
| Genre | : Science |
| ISBN | : 1119893968 |
Authoritative resource describing the artificial intelligence and advanced technologies in smart power systems with simulation examples and case studies Artificial Intelligence-based Smart Power Systems presents advanced technologies used in various aspects of smart power systems, especially grid-connected and industrial evolution, covering many new topics such as distribution Phasor management, blockchain technologies for smart power systems, the application of deep learning and reinforced learning, and artificial intelligence techniques. The text also explores the potential consequences of artificial intelligence and advanced technologies in smart power systems in the forthcoming years. To enhance and reinforce learning, the highly qualified editors include many learning resources throughout the text, including MATLAB and HIL codes, end-of-chapter problems, end-of-book solutions, practical examples, and case studies. Artificial Intelligence-based Smart Power Systems includes specific information on topics such as: Modeling and analysis of smart power systems, covering steady state analysis, dynamic analysis, voltage stability, and more Recent advancement in power electronics for smart power systems, covering power electronic converters for renewable energy sources, electric vehicles, and HDVC/FACTs Distribution Phasor Measurement Units (PMU) in smart power systems, covering the need for PMU in distribution and automation of system reconfigurations Power and energy management systems for microgrids Engineering colleges and universities, along with industry research centers, can use the in-depth subject coverage and the extensive supplementary learning resources found in Artificial Intelligence-based Smart Power Systems to gain a holistic understanding of the subject and be able to harness that knowledge within a myriad of practical applications.
