Physical Data
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Chemical Tissue And Physical Data From Water And Bottom Material In The Lower Calcasieu River Louisiana 1985 88
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Author : Dennis K. Demcheck
language : en
Publisher:
Release Date : 1990
Chemical Tissue And Physical Data From Water And Bottom Material In The Lower Calcasieu River Louisiana 1985 88 written by Dennis K. Demcheck and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Water categories.
Ifygl Physical Data Collection System
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Author : Jack Foreman
language : en
Publisher:
Release Date : 1976
Ifygl Physical Data Collection System written by Jack Foreman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1976 with Buoys categories.
Gdist A Computer Code For Analysis Of Statistical Distributions Of Physical Data
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Author : J. Richard Alldredge
language : en
Publisher:
Release Date : 1977
Gdist A Computer Code For Analysis Of Statistical Distributions Of Physical Data written by J. Richard Alldredge and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with Distribution (Probability theory) categories.
Mass Transfers And Physical Data Estimation
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Author : Abdelhanine Benallou
language : en
Publisher: John Wiley & Sons
Release Date : 2019-12-12
Mass Transfers And Physical Data Estimation written by Abdelhanine Benallou and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-12 with Science categories.
Many practical operations, such as environment depollution, blood dialysis or product purification, require matter transfer. With an emphasis on the aforementioned subjects, this book revisits the founding principles of materials transfer on the basis of Fick’s first law, which constitutes the foundation of diffusional phenomena. Additionally, continuity equations translating the macroscopic balances of systems are established. These balances constitute Fick’s second law, which can be applied to quantify the fluxes of matter transferred in each situation, provided physical data is available. To this end, Mass Transfers and Physical Data Estimation pays particular attention to methods of data estimation. Methods presented in this book are applied to several practical cases, such as diffusion in catalytic reactions or the reconstitution of cartilage in human bone joints.
Physical Data Series
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Author :
language : en
Publisher:
Release Date :
Physical Data Series written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Physical Database Design
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Author : Sam S. Lightstone
language : en
Publisher: Morgan Kaufmann
Release Date : 2010-07-26
Physical Database Design written by Sam S. Lightstone and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-26 with Computers categories.
The rapidly increasing volume of information contained in relational databases places a strain on databases, performance, and maintainability: DBAs are under greater pressure than ever to optimize database structure for system performance and administration. Physical Database Design discusses the concept of how physical structures of databases affect performance, including specific examples, guidelines, and best and worst practices for a variety of DBMSs and configurations. Something as simple as improving the table index design has a profound impact on performance. Every form of relational database, such as Online Transaction Processing (OLTP), Enterprise Resource Management (ERP), Data Mining (DM), or Management Resource Planning (MRP), can be improved using the methods provided in the book. The first complete treatment on physical database design, written by the authors of the seminal, Database Modeling and Design: Logical Design, Fourth Edition Includes an introduction to the major concepts of physical database design as well as detailed examples, using methodologies and tools most popular for relational databases today: Oracle, DB2 (IBM), and SQL Server (Microsoft) Focuses on physical database design for exploiting B+tree indexing, clustered indexes, multidimensional clustering (MDC), range partitioning, shared nothing partitioning, shared disk data placement, materialized views, bitmap indexes, automated design tools, and more!
Handbook On Big Data And Machine Learning In The Physical Sciences In 2 Volumes
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Author :
language : en
Publisher: World Scientific
Release Date : 2020-03-10
Handbook On Big Data And Machine Learning In The Physical Sciences In 2 Volumes written by and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-10 with Computers categories.
This compendium provides a comprehensive collection of the emergent applications of big data, machine learning, and artificial intelligence technologies to present day physical sciences ranging from materials theory and imaging to predictive synthesis and automated research. This area of research is among the most rapidly developing in the last several years in areas spanning materials science, chemistry, and condensed matter physics.Written by world renowned researchers, the compilation of two authoritative volumes provides a distinct summary of the modern advances in instrument — driven data generation and analytics, establishing the links between the big data and predictive theories, and outlining the emerging field of data and physics-driven predictive and autonomous systems.
Usage Driven Database Design
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Author : George Tillmann
language : en
Publisher: Apress
Release Date : 2017-04-07
Usage Driven Database Design written by George Tillmann and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-07 with Computers categories.
Design great databases—from logical data modeling through physical schema definition. You will learn a framework that finally cracks the problem of merging data and process models into a meaningful and unified design that accounts for how data is actually used in production systems. Key to the framework is a method for taking the logical data model that is a static look at the definition of the data, and merging that static look with the process models describing how the data will be used in actual practice once a given system is implemented. The approach solves the disconnect between the static definition of data in the logical data model and the dynamic flow of the data in the logical process models. The design framework in this book can be used to create operational databases for transaction processing systems, or for data warehouses in support of decision support systems. The information manager can be a flat file, Oracle Database, IMS, NoSQL, Cassandra, Hadoop, or any other DBMS. Usage-Driven Database Design emphasizes practical aspects of design, and speaks to what works, what doesn’t work, and what to avoid at all costs. Included in the book are lessons learned by the author over his 30+ years in the corporate trenches. Everything in the book is grounded on good theory, yet demonstrates a professional and pragmatic approach to design that can come only from decades of experience. Presents an end-to-end framework from logical data modeling through physical schema definition. Includes lessons learned, techniques, and tricks that can turn a database disaster into a success. Applies to all types of database management systems, including NoSQL such as Cassandra and Hadoop, and mainstream SQL databases such as Oracle and SQL Server What You'll Learn Create logical data models that accurately reflect the real world of the user Create usage scenarios reflecting how applications will use a new database Merge static data models with dynamic process models to create resilient yet flexible database designs Support application requirements by creating responsive database schemas in any database architecture Cope with big data and unstructured data for transaction processing and decision support systems Recognize when relational approaches won’t work, and when to turn toward NoSQL solutions such as Cassandra or Hadoop Who This Book Is For System developers, including business analysts, database designers, database administrators, and application designers and developers who must design or interact with database systems
Data Analysis Techniques For Physical Scientists
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Author : Claude A. Pruneau
language : en
Publisher: Cambridge University Press
Release Date : 2017-10-05
Data Analysis Techniques For Physical Scientists written by Claude A. Pruneau and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-05 with Language Arts & Disciplines categories.
A comprehensive guide to data analysis techniques for the physical sciences including probability, statistics, data reconstruction, data correction and Monte Carlo methods. This book provides a valuable resource for advanced undergraduate and graduate students, as well as practitioners in the fields of experimental particle physics, nuclear physics and astrophysics.
Big Data Analytics For Cyber Physical Systems
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Author : Guido Dartmann
language : en
Publisher: Elsevier
Release Date : 2019-07-15
Big Data Analytics For Cyber Physical Systems written by Guido Dartmann and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-15 with Law categories.
Big Data Analytics in Cyber-Physical Systems: Machine Learning for the Internet of Things examines sensor signal processing, IoT gateways, optimization and decision-making, intelligent mobility, and implementation of machine learning algorithms in embedded systems. This book focuses on the interaction between IoT technology and the mathematical tools used to evaluate the extracted data of those systems. Each chapter provides the reader with a broad list of data analytics and machine learning methods for multiple IoT applications. Additionally, this volume addresses the educational transfer needed to incorporate these technologies into our society by examining new platforms for IoT in schools, new courses and concepts for universities and adult education on IoT and data science. . Bridges the gap between IoT, CPS, and mathematical modelling. Features numerous use cases that discuss how concepts are applied in different domains and applications. Provides "best practices", "winning stories" and "real-world examples" to complement innovation. Includes highlights of mathematical foundations of signal processing and machine learning in CPS and IoT.