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Author: Kaveh Sheibani
Publisher: ORLAB Analytics
ISBN:
Category : Business & Economics
Languages : en
Pages : 31
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Book Description
We are pleased to welcome readers to this issue of Lecture Notes in Management Science (LNMS), Volume 11. The series reports significant scientific research results in the field of operational research and management science (OR/MS). The variety of material published usually includes proceedings or post-proceedings for respective conferences, monographs and technical reports which may be based on outstanding research projects.
Author: Kaveh Sheibani
Publisher: ORLAB Analytics
ISBN:
Category : Business & Economics
Languages : en
Pages : 31
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Book Description
We are pleased to welcome readers to this issue of Lecture Notes in Management Science (LNMS), Volume 11. The series reports significant scientific research results in the field of operational research and management science (OR/MS). The variety of material published usually includes proceedings or post-proceedings for respective conferences, monographs and technical reports which may be based on outstanding research projects.
Author: Kaveh Sheibani
Publisher: Tadbir Institute for Operational Research, Systems Design, and Financial Services
ISBN: 9640420204
Category : Business & Economics
Languages : en
Pages : 346
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Book Description
These proceedings gather contributions presented at the 1st International Conference on Applied Operational Research (ICAOR 2008) in Yerevan, Armenia, September 15-17, 2008, published in the series Lecture Notes in Management Science (LNMS). The conference covers all aspects of Operational Research and Management Science (OR/MS) with a particular emphasis on applications.
Author: Lalit Garg
Publisher: Springer Nature
ISBN: 3030862232
Category : Technology & Engineering
Languages : en
Pages : 261
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Book Description
The book introduces concepts, principles, methods and procedures that will be valuable to students and scholars in thinking about existing organization systems, proposing new systems and working with management professionals in implementing new information systems. This book of Information Systems and Management Science (proceedings of ISMS 2020) is intended to be used as a reference by students and researchers who collect scientific and technical contributions with respect to models, tools, technologies and applications in the field of information systems and management science. This textbook shows how to exploit information systems in a technology-rich management field.
Author: Frederick Winslow Taylor
Publisher:
ISBN:
Category : Efficiency, Industrial
Languages : en
Pages : 156
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Book Description
Author: Western Australian College of Advanced Education. School of Business
Publisher:
ISBN:
Category : Business mathematics
Languages : en
Pages : 131
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Book Description
Author: Mitsuo Gen
Publisher: Springer
ISBN: 3662472007
Category : Business & Economics
Languages : en
Pages : 1085
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Book Description
This volume provides a complete record of presentations made at Industrial Engineering, Management Science and Applications 2015 (ICIMSA 2015), and provides the reader with a snapshot of current knowledge and state-of-the-art results in industrial engineering, management science and applications. The goal of ICIMSA is to provide an excellent international forum for researchers and practitioners from both academia and industry to share cutting-edge developments in the field and to exchange and distribute the latest research and theories from the international community. The conference is held every year, making it an ideal platform for people to share their views and experiences in industrial engineering, management science and applications related fields.
Author: David Michael Tulett
Publisher:
ISBN:
Category : Business education
Languages : en
Pages : 444
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Book Description
Author: Michael W. Berry
Publisher: World Scientific
ISBN: 9812773630
Category : Computers
Languages : en
Pages : 238
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Book Description
The continual explosion of information technology and the need for better data collection and management methods has made data mining an even more relevant topic of study. Books on data mining tend to be either broad and introductory or focus on some very specific technical aspect of the field. This book is a series of seventeen edited OC student-authored lecturesOCO which explore in depth the core of data mining (classification, clustering and association rules) by offering overviews that include both analysis and insight. The initial chapters lay a framework of data mining techniques by explaining some of the basics such as applications of Bayes Theorem, similarity measures, and decision trees. Before focusing on the pillars of classification, clustering and association rules, the book also considers alternative candidates such as point estimation and genetic algorithms. The book''s discussion of classification includes an introduction to decision tree algorithms, rule-based algorithms (a popular alternative to decision trees) and distance-based algorithms. Five of the lecture-chapters are devoted to the concept of clustering or unsupervised classification. The functionality of hierarchical and partitional clustering algorithms is also covered as well as the efficient and scalable clustering algorithms used in large databases. The concept of association rules in terms of basic algorithms, parallel and distributive algorithms and advanced measures that help determine the value of association rules are discussed. The final chapter discusses algorithms for spatial data mining. Sample Chapter(s). Chapter 1: Point Estimation Algorithms (397 KB). Contents: Point Estimation Algorithms; Applications of Bayes Theorem; Similarity Measures; Decision Trees; Genetic Algorithms; Classification: Distance Based Algorithms; Decision Tree-Based Algorithms; Covering (Rule-Based) Algorithms; Clustering: An Overview; Clustering Hierarchical Algorithms; Clustering Partitional Algorithms; Clustering: Large Databases; Clustering Categorical Attributes; Association Rules: An Overview; Association Rules: Parallel and Distributed Algorithms; Association Rules: Advanced Techniques and Measures; Spatial Mining: Techniques and Algorithms. Readership: An introductory data mining textbook or a technical data mining book for an upper level undergraduate or graduate level course."
Author: Limao Zhang
Publisher: Springer Nature
ISBN: 9811628424
Category : Technology & Engineering
Languages : en
Pages : 271
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Book Description
This book highlights the latest technologies and applications of Artificial Intelligence (AI) in the domain of construction engineering and management. The construction industry worldwide has been a late bloomer to adopting digital technology, where construction projects are predominantly managed with a heavy reliance on the knowledge and experience of construction professionals. AI works by combining large amounts of data with fast, iterative processing, and intelligent algorithms (e.g., neural networks, process mining, and deep learning), allowing the computer to learn automatically from patterns or features in the data. It provides a wide range of solutions to address many challenging construction problems, such as knowledge discovery, risk estimates, root cause analysis, damage assessment and prediction, and defect detection. A tremendous transformation has taken place in the past years with the emerging applications of AI. This enables industrial participants to operate projects more efficiently and safely, not only increasing the automation and productivity in construction but also enhancing the competitiveness globally.
Author: Talya Bauer
Publisher:
ISBN: 9781453375020
Category : Management
Languages : en
Pages : 433
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Book Description
