Data Modelling and Process Modelling using the most popular Methods

Data Modelling and Process Modelling using the most popular Methods PDF Author: Rosemary Rock-Evans
Publisher: Butterworth-Heinemann
ISBN: 1483183807
Category : Business & Economics
Languages : en
Pages : 384

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Book Description
Computer Weekly Professional Series: Data modeling and Process modeling: Using the Most Popular Methods focuses on the processes, methodologies, and approaches employed in data modeling and process modeling. The book first offers information on data modeling, how to do data modeling, and process modeling. Discussions focus on diagrammatic representation, main concepts of process modeling, merging the models, refining the data model, diagrammatic techniques, fundamental rules of data modeling, and other deliverables of data modeling. The text then examines how to do process modeling and improving a system using analysis deliverables. Topics include problems, causes and effects, events, obligations and objectives, verification methods, and refining the results. The manuscript reviews elementary activities, including structured text and access paths, updating the data model from the access paths and structured English, and other useful detailed deliverables of an elementary activity. The publication is a valuable source of data for researchers interested in data modeling and process modeling.

Data Modelling and Process Modelling using the most popular Methods

Data Modelling and Process Modelling using the most popular Methods PDF Author: Rosemary Rock-Evans
Publisher: Butterworth-Heinemann
ISBN: 1483183807
Category : Business & Economics
Languages : en
Pages : 384

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Book Description
Computer Weekly Professional Series: Data modeling and Process modeling: Using the Most Popular Methods focuses on the processes, methodologies, and approaches employed in data modeling and process modeling. The book first offers information on data modeling, how to do data modeling, and process modeling. Discussions focus on diagrammatic representation, main concepts of process modeling, merging the models, refining the data model, diagrammatic techniques, fundamental rules of data modeling, and other deliverables of data modeling. The text then examines how to do process modeling and improving a system using analysis deliverables. Topics include problems, causes and effects, events, obligations and objectives, verification methods, and refining the results. The manuscript reviews elementary activities, including structured text and access paths, updating the data model from the access paths and structured English, and other useful detailed deliverables of an elementary activity. The publication is a valuable source of data for researchers interested in data modeling and process modeling.

Goal-Oriented Business Process Modeling

Goal-Oriented Business Process Modeling PDF Author:
Publisher: Emerald Group Publishing
ISBN: 1845448499
Category : Management
Languages : en
Pages : 122

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Book Description
The objective of this e-book is to try to clarify the connection between the notions of goal and business process. The issue is a follow-up to the discussions at the Workshop on Goal-Oriented Business Process Modelling held in London on 2 September 2002. The papers cover a wide spectrum of topics, related to the notions of goals in the business process domain.

Explanatory Model Analysis

Explanatory Model Analysis PDF Author: Przemyslaw Biecek
Publisher: CRC Press
ISBN: 0429651376
Category : Business & Economics
Languages : en
Pages : 327

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Book Description
Explanatory Model Analysis Explore, Explain and Examine Predictive Models is a set of methods and tools designed to build better predictive models and to monitor their behaviour in a changing environment. Today, the true bottleneck in predictive modelling is neither the lack of data, nor the lack of computational power, nor inadequate algorithms, nor the lack of flexible models. It is the lack of tools for model exploration (extraction of relationships learned by the model), model explanation (understanding the key factors influencing model decisions) and model examination (identification of model weaknesses and evaluation of model's performance). This book presents a collection of model agnostic methods that may be used for any black-box model together with real-world applications to classification and regression problems.

Food Process Modelling

Food Process Modelling PDF Author: L M M Tijskens
Publisher: Woodhead Publishing
ISBN: 1855736373
Category : Technology & Engineering
Languages : en
Pages : 513

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Book Description
Food process modelling provides an authoritative review of one of the most exciting and influential developments in the food industry. The modelling of food processes allows analysts not only to understand such processes more clearly but also to control them more closely and make predictions about them. Modelling thus aids the search for greater and more consistent food quality. Written by a distinguished international team of experts, Food process modelling covers both the range of modelling techniques and their practical applications across the food chain.

R for Data Science

R for Data Science PDF Author: Hadley Wickham
Publisher: "O'Reilly Media, Inc."
ISBN: 1491910364
Category : Computers
Languages : en
Pages : 521

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Book Description
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

Systems Analysis and Design for Advanced Modeling Methods: Best Practices

Systems Analysis and Design for Advanced Modeling Methods: Best Practices PDF Author: Bajaj, Akhilesh
Publisher: IGI Global
ISBN: 160566345X
Category : Education
Languages : en
Pages : 304

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Book Description
Covers research in the area of systems analysis and design practices and methodologies.

Usage-Driven Database Design

Usage-Driven Database Design PDF Author: George Tillmann
Publisher: Apress
ISBN: 1484227220
Category : Computers
Languages : en
Pages : 379

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Book Description
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

Enterprise Information Systems and the Digitalization of Business Functions

Enterprise Information Systems and the Digitalization of Business Functions PDF Author: Tavana, Madjid
Publisher: IGI Global
ISBN: 1522523839
Category : Computers
Languages : en
Pages : 522

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Book Description
Continuous improvements in digitized practices have created opportunities for businesses to develop more streamlined processes. This not only leads to higher success in day-to-day production, but it increases the overall success of businesses. Enterprise Information Systems and the Digitalization of Business Functions is a key resource on the latest advances and research for a digital agenda in the business world. Highlighting multidisciplinary studies on data modeling, information systems, and customer relationship management, this publication is an ideal reference source for professionals, researchers, managers, consultants, and university students interested in emerging developments for business process management.

Conceptual Modeling - ER 2004

Conceptual Modeling - ER 2004 PDF Author: Paolo Atzeni
Publisher: Springer
ISBN: 3540304649
Category : Computers
Languages : en
Pages : 889

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Book Description
On behalf of the Organizing Committee, we would like to welcome you to the proccedings of the 23rd International Conference on Conceptual Modeling (ER 2004). This conference provided an international forum for technical discussion on conceptual modeling of information systems among researchers, developers and users. This was the third time that this conference was held in Asia; the?rst time was in Singapore in 1998 and the second time was in Yokohama, Japan in 2001. China is the third largest nation with the largest population in the world. Shanghai, the largest city in China and a great metropolis, famous in Asia and throughout the world, is therefore a most appropriate location to host this conference. This volume contains papers selected for presentation and includes the two keynote talks by Prof. Hector Garcia-Molina and Prof. Gerhard Weikum, and an invited talk by Dr. Xiao Ji. This volume also contains industrial papers and demo/poster papers. An additional volume contains papers from 6 workshops. The conference also featured three tutorials: (1) Web Change Management andDelta Mining: Opportunities andSolutions, by SanjayMadria, (2)A Survey of Data Quality Issues in Cooperative Information Systems, by Carlo Batini, and (3) Visual SQL - An ER-Based Introduction to Database Programming, by Bernhard Thalheim.

Process Monitoring and Fault Diagnosis Based on Multivariable Statistical Analysis

Process Monitoring and Fault Diagnosis Based on Multivariable Statistical Analysis PDF Author: Xiangyu Kong
Publisher: Springer Nature
ISBN: 981998775X
Category :
Languages : en
Pages : 324

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Book Description