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Data Mining And Knowledge Discovery For Process Monitoring And Control


Data Mining And Knowledge Discovery For Process Monitoring And Control
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Data Mining And Knowledge Discovery For Process Monitoring And Control


Data Mining And Knowledge Discovery For Process Monitoring And Control
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Author : Xue Z Wang
language : en
Publisher:
Release Date : 1999-10-15

Data Mining And Knowledge Discovery For Process Monitoring And Control written by Xue Z Wang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-10-15 with categories.




Data Mining And Knowledge Discovery For Process Monitoring And Control


Data Mining And Knowledge Discovery For Process Monitoring And Control
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Author : Xue Z. Wang
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Data Mining And Knowledge Discovery For Process Monitoring And Control written by Xue Z. Wang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.


Modern computer-based control systems are able to collect a large amount of information, display it to operators and store it in databases but the interpretation of the data and the subsequent decision making relies mainly on operators with little computer support. This book introduces developments in automatic analysis and interpretation of process-operational data both in real-time and over the operational history, and describes new concepts and methodologies for developing intelligent, state space-based systems for process monitoring, control and diagnosis. The book brings together new methods and algorithms from process monitoring and control, data mining and knowledge discovery, artificial intelligence, pattern recognition, and causal relationship discovery, as well as signal processing. It also provides a framework for integrating plant operators and supervisors into the design of process monitoring and control systems.



European Symposium On Computer Aided Process Engineering 13


European Symposium On Computer Aided Process Engineering 13
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Author : Andrzej Kraslawski
language : en
Publisher: Elsevier
Release Date : 2003-05-07

European Symposium On Computer Aided Process Engineering 13 written by Andrzej Kraslawski and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-05-07 with Technology & Engineering categories.


This book contains papers presented at the 13th European Symposium on Computer Aided Process Engineering (ESCAPE-13). The ESCAPE symposia bring together scientists, students and engineers from academia and industry, who are active in the research and application of Computer Aided Process Engineering.The objective of ESCAPE-13 is to promote CAPE applications into new businesses and technologies by highlighting the use of computers and information technology tools in five specific areas: process design; process control and dynamics; modeling, simulation and optimization; applications in pulp and paper industry; and applications in biotechnology.Includes 190 papers selected from 391 submitted abstracts.All papers have been reviewed by 33 members of the international scientific community.



Data Mining And Knowledge Discovery


Data Mining And Knowledge Discovery
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Author :
language : en
Publisher:
Release Date : 2003

Data Mining And Knowledge Discovery written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Data mining categories.




Urban Informatics


Urban Informatics
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Author : Wenzhong Shi
language : en
Publisher: Springer Nature
Release Date : 2021-04-06

Urban Informatics written by Wenzhong Shi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-06 with Social Science categories.


This open access book is the first to systematically introduce the principles of urban informatics and its application to every aspect of the city that involves its functioning, control, management, and future planning. It introduces new models and tools being developed to understand and implement these technologies that enable cities to function more efficiently – to become ‘smart’ and ‘sustainable’. The smart city has quickly emerged as computers have become ever smaller to the point where they can be embedded into the very fabric of the city, as well as being central to new ways in which the population can communicate and act. When cities are wired in this way, they have the potential to become sentient and responsive, generating massive streams of ‘big’ data in real time as well as providing immense opportunities for extracting new forms of urban data through crowdsourcing. This book offers a comprehensive review of the methods that form the core of urban informatics from various kinds of urban remote sensing to new approaches to machine learning and statistical modelling. It provides a detailed technical introduction to the wide array of tools information scientists need to develop the key urban analytics that are fundamental to learning about the smart city, and it outlines ways in which these tools can be used to inform design and policy so that cities can become more efficient with a greater concern for environment and equity.



Data Mining And Knowledge Discovery Handbook


Data Mining And Knowledge Discovery Handbook
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Author : Oded Maimon
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-05-28

Data Mining And Knowledge Discovery Handbook written by Oded Maimon and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-05-28 with Computers categories.


Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This book first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security. Data Mining and Knowledge Discovery Handbook is designed for research scientists and graduate-level students in computer science and engineering. This book is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.



Manufacturing Intelligence For Industrial Engineering Methods For System Self Organization Learning And Adaptation


Manufacturing Intelligence For Industrial Engineering Methods For System Self Organization Learning And Adaptation
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Author : Zhou, Zude
language : en
Publisher: IGI Global
Release Date : 2010-03-31

Manufacturing Intelligence For Industrial Engineering Methods For System Self Organization Learning And Adaptation written by Zhou, Zude and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-03-31 with Computers categories.


"This book focuses on the latest innovations in the process of manufacturing in engineering"--Provided by publisher.



Predictive Analysis On Large Data For Actionable Knowledge Emerging Research And Opportunities


Predictive Analysis On Large Data For Actionable Knowledge Emerging Research And Opportunities
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Author : Usman, Muhammad
language : en
Publisher: IGI Global
Release Date : 2018-01-26

Predictive Analysis On Large Data For Actionable Knowledge Emerging Research And Opportunities written by Usman, Muhammad and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-26 with Computers categories.


Data analysis forms the basis of many modes of research ranging from scientific discoveries to governmental findings. With the advent of machine intelligence and neural networks, extracting and modeling, approaching data has been unimpeachably altered. These changes, seemingly small, affect the way societies organize themselves, deliver services, or interact with each other. Predictive Analysis on Large Data for Actionable Knowledge: Emerging Research and Opportunities provides emerging information on extraction and prediction patterns in data mining along with knowledge discovery. While highlighting the current issues in data extraction, readers will learn new methodologies comprising of different algorithms that automate the multidimensional schema that remove the manual processes. This book is a vital resource for researchers, academics, and those seeking new information on data mining techniques and trends.



Handbook On Business Process Management 2


Handbook On Business Process Management 2
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Author : Jan vom Brocke
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-09-22

Handbook On Business Process Management 2 written by Jan vom Brocke and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-22 with Business & Economics categories.


Business Process Management (BPM) has become one of the most widely used approaches for the design of modern organizational and information systems. The conscious treatment of business processes as significant corporate assets has facilitated substantial improvements in organizational performance but is also used to ensure the conformance of corporate activities. This Handbook presents in two volumes the contemporary body of knowledge as articulated by the world's leading BPM thought leaders. This second volume focuses on the managerial and organizational challenges of Business Process Management such as strategic and cultural alignment, governance and the education of BPM stakeholders. As such, this book provides concepts and methodologies for the integration of BPM. Each chapter has been contributed by leading international experts. Selected case studies complement their views and lead to a summary of BPM expertise that is unique in its coverage of the most critical success factors of BPM.



Data Driven Methods For Fault Detection And Diagnosis In Chemical Processes


Data Driven Methods For Fault Detection And Diagnosis In Chemical Processes
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Author : Evan L. Russell
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Data Driven Methods For Fault Detection And Diagnosis In Chemical Processes written by Evan L. Russell and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Science categories.


Early and accurate fault detection and diagnosis for modern chemical plants can minimise downtime, increase the safety of plant operations, and reduce manufacturing costs. The process-monitoring techniques that have been most effective in practice are based on models constructed almost entirely from process data. The goal of the book is to present the theoretical background and practical techniques for data-driven process monitoring. Process-monitoring techniques presented include: Principal component analysis; Fisher discriminant analysis; Partial least squares; Canonical variate analysis. The text demonstrates the application of all of the data-driven process monitoring techniques to the Tennessee Eastman plant simulator - demonstrating the strengths and weaknesses of each approach in detail. This aids the reader in selecting the right method for his process application. Plant simulator and homework problems in which students apply the process-monitoring techniques to a nontrivial simulated process, and can compare their performance with that obtained in the case studies in the text are included. A number of additional homework problems encourage the reader to implement and obtain a deeper understanding of the techniques. The reader will obtain a background in data-driven techniques for fault detection and diagnosis, including the ability to implement the techniques and to know how to select the right technique for a particular application.