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Data science on the Google cloud platform : Implementing end-to-end real-time data pipelines : From ingest to machine learning
Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build using Google Cloud Platform (GCP). This hands-on guide shows data engineers and data scientists how to implement an end-to-end data pipeline with cloud native tools on GCP. You'll work through a sample business decision by employing a variety of data science approaches. Follow along by building a data pipeline in your own project on GCP, and discover how to solve data science problems in a transformative and more collaborative way. Employ best practices in building highly scalable data and ML pipelines on Google Cloud Automate and schedule data ingest using Cloud Run Create and populate a dashboard in Data Studio Build a real-time analytics pipeline using Pub/Sub, Dataflow, and BigQuery Conduct interactive data exploration with BigQuery Create a Bayesian model with Spark on Cloud Dataproc Forecast time series and do anomaly detection with BigQuery ML Aggregate within time windows with Dataflow Train explainable machine learning models with Vertex AI Operationalize ML with Vertex AI Pipelines
Corporate Performance Management : ARIS in Practice
Corporate Performance Management (CPM) is a basic approach which examines the relationship between corporate performance and process optimization. How to successfully introduce CPM in practice is demonstrated through project reports from E.ON, British Telecom, Credit Suisse and Vodafone among others. The methods and tools presented here guarantee a continuous and automated monitoring of the corporate performance and enable Business Process Excellence to be permanently established in the company by company-internal and company-external benchmarking. The articles in this book focus on the use of the ARIS Controlling Platform developed by IDS Scheer.
Container terminals and cargo systems : Design, operations management, and logistics control issues
Significant gains in productivity can be achieved through advanced terminal layouts, more efficient IT-support and improved logistics control software systems. The primary objective of this book is to reflect these challenges and to present new insights and successful solutions to operational problems of automated container terminals and cargo systems.
Container Terminals and Automated Transport Systems : Logistics Control Issues and Quantitative Decision Support
Container transportation is the predominant mode of inter-continental cargo traffic. Since container ships and port terminals involve a huge capital investment and significant daily operating costs, it is of crucial importance to efficiently utilize the internal resources of container terminals and transportation systems. Today there is an ongoing trend to use automated container handling and transportation technology, in particular, in countries with high labour costs. This in turn requires highly sophisticated control strategies in order to meet the desired performance measures. The primary objective of this book is to reflect these recent developments and to present new insights and successful solutions to operational problems of automated container terminals and transportation systems. It comprises reports on the state of the art, applications of quantitative methods, as well as case studies and simulation results. Its contributions are written by leading experts from academia and business.
Constraint satisfaction techniques for agent-based reasoning
Constraint satisfaction problems are significant in the domain of automated reasoning for artificial intelligence. They can be applied to the modeling and solving of a wide range of combinatorial applications such as planning, scheduling and resource sharing in a variety of practical domains such as transportation, production, supply-chains, network management and human resource management. In this book we study new techniques for solving constraint satisfaction problems, with a special focus on solution adaptation applied to agent reasoning.
Computer Supported Cooperative Work in Design III ; 10th International Conference, CSCWD 2006, Nanjing, China, May 3-5, 2006, Revised Selected Papers
The design of complex artifacts and systems requires the cooperation of multidiscip- nary design teams using multiple commercial and proprietary engineering software tools (e.g., CAD, modeling, simulation, visualization, and optimization), engineering databases, and knowledge-based systems. Individuals or individual groups of mult- isciplinary design teams usually work in parallel and separately with various en- neering software tools which are located at different sites. In addition, individual members may be working on different versions of a design or viewing the design from different perspectives, at different levels of detail. In order to accomplish the work, it is necessary to have effective and efficient c- laborative design environments. Such environments should not only automate in- vidual tasks, in the manner of traditional computer-aided engineering tools, but also enable individual members to share information, collaborate, and coordinate their activities within the context of a design project. CSCW (computer-supported coope- tive work) in design is concerned with the development of such environments.
Computer Supported Cooperative Work in Design I
The design of complex artifacts and systems requires the cooperation of multidisciplinary design teams using multiple commercial and non-commercial engineering tools such as CAD tools, modeling, simulation and optimization software, engineering databases, and knowledge-based systems. Individuals or individual groups of multidisciplinary design teams usually work in parallel and separately with various engineering tools, which are located on different sites, often for quite a long time. At any moment, individual members may be working on different versions of a design or viewing the design from various perspectives, at different levels of detail. In order to meet these requirements, it is necessary to have effective and efficient collaborative design environments. These environments should not only automate individual tasks, in the manner of traditional computer-aided engineering tools, but also enable individual members to share information, collaborate and coordinate their activities within the context of a design project. CSCW (computer-supported cooperative work) in design is concerned with the development of such environments.
Computer science logic ; Vol. 4207 ; 20th International Workshop, CSL 2006, 15th Annual Conference of the EACSL, Szeged, Hungary, September 25-29, 2006, Proceedings
Coverage includes automated deduction and interactive theorem proving, constructive mathematics and type theory, equational logic and term rewriting, automata and formal logics, modal and temporal logic, model checking, finite model theory, and more.
Computer Mathematics ; 8th Asian Symposium, ASCM 2007, Singapore, December 15-17, 2007. Revised and Invited Papers
This book constitutes thoroughly refereed post-conference proceedings of the 8th Asian Symposium on Computer Mathematics, ASCM 2007, held in Singapore in December 2007.
Computer algebra and geometric algebra with applications ; 6th International Workshop, IWMM 2004, Shanghai, China, May 19-21, 2004 and International Workshop, GIAE 2004, Xian, China, May 24-28, 2004.Revised Selected Papers
MathematicsMechanization consistsoftheory,softwareandapplicationofc- puterized mathematical activities such as computing, reasoning and discovering. ItsuniquefeaturecanbesuccinctlydescribedasAAA(Algebraization,Algori- mization, Application). The name “Mathematics Mechanization” has its origin in the work of Hao Wang (1960s), one of the pioneers in using computers to do research in mathematics, particularly in automated theorem proving. Since the 1970s, this research direction has been actively pursued and extensively dev- oped by Prof. Wen-tsun Wu and his followers. It di?ers from the closely related disciplines like Computer Mathematics, Symbolic Computation and Automated Reasoning in that its goal is to make algorithmic studies and applications of mathematics the major trend of mathematics development in the information age.
Computer Aided Verification ; Vol. 3576 ; 17th International Conference, CAV 2005, Edinburgh, Scotland, UK, July 6-10, 2005, Proceedings
This volume contains the proceedings of the International Conference on Computer Aided Veri?cation (CAV), held in Edinburgh, Scotland, 2005. CAV 2005 was the seventeenth in a series of conferences dedicated to the advancement of the theory and practice of computer-assisted formal an- ysis methods for software and hardware systems. The conference covered the spectrum from theoretical results to concrete applications, with an emphasis on practical veri?cation tools and the algorithms and techniques that are needed for their implementation.
Computer Aided Verification ; 20th International Conference, CAV 2008 Princeton, NJ, USA, July 7-14, 2008 Proceedings
This book constitutes the refereed proceedings of the 20th International Conference on Computer Aided Verification, CAV 2008, held in Princeton, NJ, USA, in July 2008.
Computer Aided Verification ; 19th International Conference, CAV 2007, Berlin, Germany, July 3-7, 2007, Proceedings
This volume contains advancement of the theory and practice of computer-assisted formal analysis methods for software and hardware systems. covers the spectrum from theoretical - sults to concrete applications, with an emphasis on practical verification tools and the algorithms and techniques that are needed for their implementation.
Computer Aided Systems Theory – EUROCAST 2005 ; 10th International Conference on Computer Aided Systems Theory, Las Palmas de Gran Canaria, Spain, February 7-11, 2005, Revised Selected Papers
The concept of CAST, computer aided systems Theory, was introduced by F. Pichler of Linz in the late 1980s to include those computer theoretical and practical developments used as tools to solve problems in system science. It was considered as the third component (the other two being CAD and CAM) that would provide for a complete picture of the path from computer and systems sciences to practical developments in science and engineering. Selected papers were published as Springer Lecture Notes in Computer Science vols. 410, 585, 763, 1030, 1333, 1728, 2178 and 2809 and in several special issues of Cybernetics and Systems: an lnternational
Computational Techniques for Dental Image Analysis
With the technology innovations dentistry has witnessed in all its branches over the past three decades, the need for more precise diagnostic tools and advanced imaging methods has become mandatory across the industry. Recent advancements to imaging systems are playing an important role in efficient diagnoses, treatments, and surgeries. Provides innovative insights into computerized methods for automated analysis. The research presented within this publication explores pattern recognition, oral pathologies, and diagnostic processing.
Computational Discovery of Scientific Knowledge : Introduction, Techniques, and Applications in Environmental and Life Sciences
Advances in technology have enabled the collection of data from scientific observations, simulations, and experiments at an ever-increasing pace. For the scientist and engineer to benefit from these enhanced data collecting capabilities, it is becoming clear that semi-automated data analysis techniques must be applied to find the useful information in the data. Computational scientific discovery methods can be used to this end: they focus on applying computational methods to automate scientific activities, such as finding laws from observational data. In contrast to mining scientific data, which focuses on building highly predictive models, computational scientific discovery puts a strong emphasis on discovering knowledge represented in formalisms used by scientists and engineers, such as numeric equations and reaction pathways. This state-of-the-art survey provides an introduction to computational approaches to the discovery of scientific knowledge and gives an overview of recent advances in this area, including techniques and applications in environmental and life sciences.
Cloud Native Architecture and Design : A Handbook for Modern Day Architecture and Design with Enterprise-Grade Examples
Explains the fundamentals of cloud-native architecture and services, what cloud principles and patterns to use, and details of designing a cloud-native element. And Progresses to cover the details of how IT systems can modernize to embrace cloud-native architecture, and also provides details of various enterprise assessment techniques to decide what systems can move and cannot move into the cloud. Architecting and designing a cloud-native system isn’t possible without modernized software engineering principles, the culture of automation, and the culture of innovation. As such, this book covers the details of cloud-native software engineering methodologies, and process, and how to adopt an automated governance approach across enterprises with the adoption of artificial intelligence. You will: Discover cloud-native principles and patterns, and how you can leverage them to solve your business problems ; Gain the techniques and concepts you need to adapt to design a cloud-native application ; Use assessment techniques and tools for IT modernization ; Apply cloud-native engineering principles to the culture of automation and culture of innovation ; Harness the techniques and tools to run your cloud-native applications and automate infrastructure ; Operate your cloud-native applications by using AI techniques and zero operation techniques
Mathematical Knowledge Management ; Vol. 3863 ; 4th International Conference, MKM 2005, Bremen, Germany, July 15-17, 2005, Revised Selected Papers
This volume contains the proceedings of the Fourth International Conference on Mathematical Knowledge Management MKM 2005 held July 15–17, 2005 at - ternational University Bremen, Germany.
Marswalk One : First Steps on a New Planet
MARSWALK ONE: First Steps on a New Planet addresses the question of why we should embark on a journey to Mars, documenting what the first human crew will do when they place their feet in the red dust of the planet. The book also addresses why we need to carry out these tasks and, more importantly, what a human crew could achieve that an automated mission could not. Understanding the clear benefits of sending a human crew to the surface of Mars, and how these benefits can be seen back on Earth, is the key to sustained long-term public and political support for the programme in terms of cash and commitment. The book accepts that the journey will be made, but does not specify precisely when. Flight time, and how to get to and from the planet are discussed briefly, to understand why the suggested duration spent at Mars is reasonable. The main objective of the work is to look at what science will be done on the surface – supported by orbital operations – and what hardware and technology will be employed to achieve the mission objectives. This analysis is drawn from previous experiences in manned and unmanned space programmes, including Apollo, Skylab, Salyut/Mir, Shuttle and ISS, Viking, Luna/Lunokhod, and recent Mars missions such as Pathfinder and Global Surveyor.
Marketing analytics : A machine learning approach
Gives a comprehensive overview of marketing analytics, incorporating machine learning methods of data analysis that automates analytical model building. The volume covers the important aspects of marketing analytics, including segmentation and targeting analysis, statistics for marketing, marketing metrics, consumer buying behavior, neuromarketing techniques for consumer analytics, new product development, forecasting sales and price, web and social media analytics, and much more.
