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1. Data modeling

   Walls, Michael D.

   Park Ridge, IL : Urban and Regional Information Systems Association, c1999.

2. Data modeling : a beginner's guide

   Oppel, Andrew J.

   New York : McGraw-Hill, ©2010.

   "Learn how to create data models that allow complex data to be analyzed, manipulated, extracted, and reported upon accurately. Data Modeling: A Beginner's Guide teaches you techniques for gathering business requirements and using them to produce conceptual, logical, and physical database designs. You'll get details on Unified Modeling Language (UML), normalization, incorporating business rules, handling temporal data, and analytical database design. The methods presented in this fast-paced tutorial are applicable to any database management system, regardless of vendor"--Resource description page.Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Essential Skills--Made Easy!Learn how to create data models that allow complex data to be analyzed, manipulated, extracted, and reported upon accurately. Data Modeling: A Beginner's Guide teaches you techniques for gathering business requirements and using them to produce conceptual, logical, and physical database designs. You'll get details on Unified Modeling Language (UML), normalization, incorporating business rules, handling temporal data, and analytical database design. The methods presented in this fast-paced tutorial are applicable to any database management system, regardless of vendor. Designed for Easy Learning Key Skills & Concepts--Chapter-opening lists of specific skills covered in the chapter Ask the expert--Q&A sections filled with bonus information and helpful tips Try This--Hands-on exercises that show you how to apply your skills Notes--Extra information related to the topic being covered Self Tests--Chapter-ending quizzes to test your knowledge Andy Oppel has taught database technology for the University of California Extension for more than 25 years. He is the author of Databases Demystified, SQL Demystified, and Databases: A Beginner's Guide, and the co-author of SQL: A Beginner's Guide, Third Edition, and SQL: The Complete Reference, Third Edition.

   Online Safari Books Online

3. Data-driven modeling : using Matlab® in water resources and environmental engineering

   Araghinejad, Shahab

   Dordrecht : Springer, [2014]

   "Data-Driven Modeling: Using MATLAB(R) in Water Resources and Environmental Engineering" provides a systematic account of major concepts and methodologies for data-driven models and presents a unified framework that makes the subject more accessible to and applicable for researchers and practitioners. It integrates important theories and applications of data-driven models and uses them to deal with a wide range of problems in the field of water resources and environmental engineering such as hydrological forecasting, flood analysis, water quality monitoring, regionalizing climatic data, and general function approximation. The book presents the statistical-based models including basic statistical analysis, nonparametric and logistic regression methods, time series analysis and modeling, and support vector machines. It also deals with the analysis and modeling based on artificial intelligence techniques including static and dynamic neural networks, statistical neural networks, fuzzy inference systems, and fuzzy regression. The book also discusses hybrid models as well as multi-model data fusion to wrap up the covered models and techniques. The source files of relatively simple and advanced programs demonstrating how to use the models are presented together with practical advice on how to best apply them. The programs, which have been developed using the MATLAB(R) unified platform, can be found on extras.springer.com. The main audience of this book includes graduate students in water resources engineering, environmental engineering, agricultural engineering, and natural resources engineering. This book may be adapted for use as a senior undergraduate and graduate textbook by focusing on selected topics. Alternatively, it may also be used as a valuable resource book for practicing engineers, consulting engineers, scientists and others involved in water resources and environmental engineering.

   Online SpringerLink

Your search also found 1 topic specific databases.

1. Text and data mining

   this is a page that describes text and data mining services at Stanford Libraries

2. Integrating Generative AI Tools in Library Collections: Challenges and Solutions

3. Transforming Earth Observation data into impact with mapping and AI

1. Roads Jackson County, WI 2020

   Jackson County

   2020

   This data represents roads for Jackson County, Wisconsin in 2020. [This digital geospatial dataset represents all public and private roads in Jacks...

2. Roads Jackson County, WI 2021

   Jackson County

   2021

   This data represents roads for Jackson County, Wisconsin in 2021. [This digital geospatial dataset represents all public and private roads in Jacks...

3. Roads Jackson County, WI 2022

   Jackson County

   2022

   This data represents roads for Jackson County, Wisconsin in 2022. [This digital geospatial dataset represents all public and private roads in Jacks...