“…Two poster sessions on "Computer Vision and Image Processing Technology", "Modern Information Theory and Applied Technology", and ten oral sessions on "Machine Learning and Intelligent Computing", "Next-generation Neural Network and Applications", "Data Analysis and Processing", "Big Data Science and Information Intelligence", "Target Detection", "Image Transformation and Calculation", "Intelligent Identification and Control Technology", "Medical Image Analysis and Processing", "Computer Network and Information Communication System" and "Computer and Information Science" were successfully held under the joint efforts of session chairs and all presenters. …”

“…ANTICIPATE AND SHAPE TECHNOLOGICAL DISRUPTION...INSTEAD OF BEING VICTIMIZED BY IT Gain powerful insights for crafting strategy in technology-rich industries, from IT to finance, and healthcare to energy Understand the massive social impacts of technology, and how today’s societal divisions shape your opportunities to innovate For everyone who must manage new technologies and respond to technological disruption From biotech to nanotech to big data, the pace of technological disruption continues to accelerate. …”

“…Even as big data is turning the world upside down, the next phase of the revolution is already taking shape: real-time data analysis. …”

“…Delen’s holistic approach covers all this, and more: Data mining processes, methods, and techniques The role and management of data Predictive analytics tools and metrics Techniques for text and web mining, and for sentiment analysis Integration with cutting-edge Big Data approaches Throughout, Delen promotes understanding by presenting numerous conceptual illustrations, motivational success stories, failed projects that teach important lessons, and simple, hands-on tutorials that set this guide apart from competitors…”

“…Covering a key topic due to growing research into the role of signaling mechanisms in toxicology, this book focuses on practical approaches for informatics, big data, and complex data sets. Combines fundamentals / basics with experimental applications that can help those involved in preclinical drug studies and translational research Includes detailed presentations of study methodology and data collection, analysis, and interpretation Discusses tools like experimental design, sample handling, analytical measurement techniques…”

“…Big machines will enter the modern era of big data, where they'll be subject to constant analysis and optimization. …”

“…In this practical and research-based guide for sales managers, Harvard Business School professor Frank Cespedes offers essential strategies for thriving in an industry that never stops changing.The rise of e-commerce. Big data. AI. Given these trends (and many others), there's no doubt that sales is changing. …”

“…The new edition also includes new coverage of big data, privacy, personalization, and materialism, and engages with the issue of the replication crisis in psychology, and what that means in relation to studies in the book…”

“…A complex environment is emerging wherein internet of things and big data are being integrated with products, production systems, healthcare, anddaily activity and play an important part in decision making. …”

“…Therefore, this is of special relevance in the Big Data era. These forecasts are usually based on a complex function combination. …”

“…The volume pertains to applications in the areas of imaging, medical imaging, wireless and WS networks, IoT with applied areas, big data for various applicable solutions, etc. This text delves deeply into the core subject and then broadens to encompass the interlinking, interdisciplinary, and cross-disciplinary sections of other relevant areas. …”

“…Engineering and business problems are becoming increasingly difficult to solve due to the new economics triggered by big data, artificial intelligence, and the internet of things. …”

“…The International Workshop on Computational Transportation Science is particularly timely given the prominence of connected automated vehicles technologies in the global auto industrys near-term growth strategies, of big data analytics and unprecedented access to sensing data of mobility, and of integration of this analytics into the optimization of mobility and transport. …”

“…The emerging converged platform for growth and innovation is built on four technology pillars: mobile computing, cloud services, big data and analytics, and social networking."…”

“…We are entering the era of big data, and machine learning can be used to analyze this deluge of data automatically. …”

“…From police to hacking cultures, from Bitcoin to sperm donation, from Yik-Yak to Amazon and IKEA, from DNA to Big Data — thirty essays address how the reconfiguration of anonymity transforms our concepts of privacy, property, self, kin, addiction, currency, and labor…”

“…In Zeiten von Big Data, künstlicher Intelligenz und selbstlernenden Systemen ist die Verarbeitung großer Datenmengen ein Thema, dessen Bedeutung in vielen Branchen der Wirtschaft und vielen Forschungsbereichen in der letzten Zeit enorm zugenommen hat. …”

“…—Timothy Pratley, developer Developers are discovering the exceptional power of Clojure’s functional programming model to quickly solve problems in domains ranging from social networking to Big Data. Clojure is fast and efficient—ideal for rapid prototyping and lean development. …”

“…Topics include * Kafka concepts * Use cases * Kafka design * API overview * Installation and configuration * Clusters * Writing producers * Writing consumers * Kafka operations * Connectors * Streams What You Will Learn * A complete overview of Kafka * How to install and configure Kafka * How Kafka fits into the big picture of Big Data Who Should Take This Course? * IT professional who are responsible for implementing and maintaining their organizations' Big Data solution * IT managers who have an interest in understanding how Kafka can solve part of their Big Data issues Course Requirements Requires a basic knowledge of Linux and a programming language such as Java, Perl, Python, C, or Ruby. …”

“…In a big data project, a plethora of information is retrieved, big numbers are crunched on our machine, or both. …”