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Author : Xue Z Wang
Publisher : Unknown
Page : 272 pages
File Size : 47,6 Mb
Release : 1999-10-15
Category : Electronic
ISBN : 1447104226
Author : Xue Z. Wang
Publisher : Springer Science & Business Media
Page : 263 pages
File Size : 54,5 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781447104216
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.
Author : Anonim
Publisher : BoD – Books on Demand
Page : 226 pages
File Size : 49,7 Mb
Release : 2022-03-30
Category : Computers
ISBN : 9781839692666
The availability of big data due to computerization and automation has generated an urgent need for new techniques to analyze and convert big data into useful information and knowledge. Data mining is a promising and leading-edge technology for mining large volumes of data, looking for hidden information, and aiding knowledge discovery. It can be used for characterization, classification, discrimination, anomaly detection, association, clustering, trend or evolution prediction, and much more in fields such as science, medicine, economics, engineering, computers, and even business analytics. This book presents basic concepts, ideas, and research in data mining.
Author : Andrzej Kraslawski,Ilkka Turunen
Publisher : Elsevier
Page : 1174 pages
File Size : 51,8 Mb
Release : 2003-05-07
Category : Technology & Engineering
ISBN : 0080529445
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.
Author : Usman, Muhammad,Usman, M.
Publisher : IGI Global
Page : 177 pages
File Size : 43,7 Mb
Release : 2018-01-26
Category : Computers
ISBN : 9781522550303
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.
Author : Norio Baba,L. C. Jain,Robert J. Howlett
Publisher : IOS Press
Page : 860 pages
File Size : 45,7 Mb
Release : 2001
Category : Computers
ISBN : 1586031929
The annual Kes International Conference in Knowledge-based Intelligent Information Engineering Systems and Allied Technologies has become an event that is held in high regard by the intelligent systems community. The proceedings of the fifth conference represents a comprehensive survey of research on the theory and application of knowledge-based intelligent systems including topics such as: generic intelligent techniques - artificial neural networks, machine learning fuzzy and neuro-fuzzy techniques, and artificial life; applications of intelligent systems - condition monitoring, fault diagnosis, image processing, and high voltage systems; and allied technologies - communications, the Internet and web-based technologies, e-commerce, and computer pets. The proceedings should be of interest to those in the intelligent systems field, such as engineers, researchers and students.
Author : János Abonyi,Balázs Feil
Publisher : Springer Science & Business Media
Page : 317 pages
File Size : 51,7 Mb
Release : 2007-08-10
Category : Mathematics
ISBN : 9783764379889
The aim of this book is to illustrate that advanced fuzzy clustering algorithms can be used not only for partitioning of the data. It can also be used for visualization, regression, classification and time-series analysis, hence fuzzy cluster analysis is a good approach to solve complex data mining and system identification problems. This book is oriented to undergraduate and postgraduate and is well suited for teaching purposes.
Author : Evan L. Russell,Leo H. Chiang,Richard D. Braatz
Publisher : Springer Science & Business Media
Page : 193 pages
File Size : 53,8 Mb
Release : 2012-12-06
Category : Science
ISBN : 9781447104094
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.
Author : Ville Kolehmainen,Pekka Toivanen,Bartlomiej Beliczynski
Publisher : Springer
Page : 630 pages
File Size : 54,5 Mb
Release : 2009-09-30
Category : Computers
ISBN : 9783642049217
This book constitutes the thoroughly refereed post-proceedings of the 9th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2009, held in Kuopio, Finland, in April 2009. The 63 revised full papers presented were carefully reviewed and selected from a total of 112 submissions. The papers are organized in topical sections on neutral networks, evolutionary computation, learning, soft computing, bioinformatics as well as applications.
Author : Cengiz Kahraman,Seda Yanik
Publisher : Springer
Page : 466 pages
File Size : 44,7 Mb
Release : 2015-10-31
Category : Technology & Engineering
ISBN : 9783319244990
This book presents recently developed intelligent techniques with applications and theory in the area of quality management. The involved applications of intelligence include techniques such as fuzzy sets, neural networks, genetic algorithms, etc. The book consists of classical quality management topics dealing with intelligent techniques for solving the complex quality management problems. The book will serve as an excellent reference for quality managers, researchers, lecturers and postgraduate students in this area. The authors of the chapters are well-known researchers in the area of quality management.
Author : Harvey J. Miller,Jiawei Han
Publisher : CRC Press
Page : 486 pages
File Size : 42,9 Mb
Release : 2009-05-27
Category : Computers
ISBN : 9781420073980
The Definitive Volume on Cutting-Edge Exploratory Analysis of Massive Spatial and Spatiotemporal DatabasesSince the publication of the first edition of Geographic Data Mining and Knowledge Discovery, new techniques for geographic data warehousing (GDW), spatial data mining, and geovisualization (GVis) have been developed. In addition, there has bee
Author : S. Prabhu,Na Vēṅkaṭēcan̲
Publisher : New Age International
Page : 11 pages
File Size : 55,8 Mb
Release : 2007-12
Category : Data mining
ISBN : 9788122419726
Data Mining is the process of analyzing large amount of data in search of previously undiscovered business patterns. Data Warehousing is a relational/multidimensional database that is designed for Query and Analysis rather than Transaction Processing. This book provides a systematic introduction to the principles of Data Mining and Data Warehousing. It covers the entire range of data mining algorithms (prediction, classification, and association), data mining products and applications, stages.
Author : Thunshun Warren Liao,Evangelos Triantaphyllou
Publisher : World Scientific
Page : 816 pages
File Size : 55,5 Mb
Release : 2008
Category : Computers
ISBN : 9789812779854
The main goal of the new field of data mining is the analysis of large and complex datasets. Some very important datasets may be derived from business and industrial activities. This kind of data is known as ?enterprise data?. The common characteristic of such datasets is that the analyst wishes to analyze them for the purpose of designing a more cost-effective strategy for optimizing some type of performance measure, such as reducing production time, improving quality, eliminating wastes, or maximizing profit. Data in this category may describe different scheduling scenarios in a manufacturing environment, quality control of some process, fault diagnosis in the operation of a machine or process, risk analysis when issuing credit to applicants, management of supply chains in a manufacturing system, or data for business related decision-making.
Author : Kweku-Muata Osei-Bryson,Corlane Barclay
Publisher : CRC Press
Page : 404 pages
File Size : 50,5 Mb
Release : 2015-03-16
Category : Business & Economics
ISBN : 9781482212389
Although the terms "data mining" and "knowledge discovery and data mining" (KDDM) are sometimes used interchangeably, data mining is actually just one step in the KDDM process. Data mining is the process of extracting useful information from data, while KDDM is the coordinated process of understanding the business and mining the data in order to id
Author : Nikhil Pal
Publisher : Springer Science & Business Media
Page : 264 pages
File Size : 51,6 Mb
Release : 2007-12-31
Category : Computers
ISBN : 9781846281839
Clear and concise explanations to understand the learning paradigms. Chapters written by leading world experts.
