Proceedings of International Conference on Data Science and Applications

Proceedings of International Conference on Data Science and Applications

Author: Mukesh Saraswat

Publisher: Springer Nature

Published: 2023-02-16

Total Pages: 946

ISBN-13: 9811966311

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This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2022), organized by Soft Computing Research Society (SCRS) and Jadavpur University, Kolkata, India, from 26 to 27 March 2022. It covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.


Algorithmic Game Theory

Algorithmic Game Theory

Author: Dimitris Fotakis

Publisher: Springer Nature

Published: 2019-09-16

Total Pages: 401

ISBN-13: 3030304736

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This book constitutes the refereed proceedings of the 12th International Symposium on Algorithmic Game Theory, SAGT 2019, held in Athens, Greece, in September/October 2019. The 25 full papers presented together with 3 invited talks and one abstract paper were carefully reviewed and selected from 55 submissions. The papers are organized in topical sections named: Algorithmic Mechanism Design; Auctions and Markets; Computational Aspects of Games; Network Games and Congestion Games; Social Choice; and Matchings and Fair Division.


Operations Research: Introduction To Models And Methods

Operations Research: Introduction To Models And Methods

Author: Richard Johannes Boucherie

Publisher: World Scientific

Published: 2021-10-26

Total Pages: 512

ISBN-13: 9811239363

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This attractive textbook with its easy-to-follow presentation provides a down-to-earth introduction to operations research for students in a wide range of fields such as engineering, business analytics, mathematics and statistics, computer science, and econometrics. It is the result of many years of teaching and collective feedback from students.The book covers the basic models in both deterministic and stochastic operations research and is a springboard to more specialized texts, either practical or theoretical. The emphasis is on useful models and interpreting the solutions in the context of concrete applications.The text is divided into several parts. The first three chapters deal exclusively with deterministic models, including linear programming with sensitivity analysis, integer programming and heuristics, and network analysis. The next three chapters primarily cover basic stochastic models and techniques, including decision trees, dynamic programming, optimal stopping, production planning, and inventory control. The final five chapters contain more advanced material, such as discrete-time and continuous-time Markov chains, Markov decision processes, queueing models, and discrete-event simulation.Each chapter contains numerous exercises, and a large selection of exercises includes solutions.


Economic Analysis of the Soviet-Type System

Economic Analysis of the Soviet-Type System

Author: Judith Thornton

Publisher: CUP Archive

Published: 1976-08-05

Total Pages: 392

ISBN-13: 9780521207188

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Economics textbook presenting a formal description and economic analysis of the centrally planned economy of the type of the USSR economic system - provides a representative survey of the main applications and techniques of national planning pertinent to the centralization type of planning and economic modelling, etc. Flow charts, graphs, references and statistical tables.


Operations Research and Artificial Intelligence: The Integration of Problem-Solving Strategies

Operations Research and Artificial Intelligence: The Integration of Problem-Solving Strategies

Author: Donald E. Brown

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 503

ISBN-13: 9400922035

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The purpose of this book is to introduce and explain research at the boundary between two fields that view problem solving from different perspectives. Researchers in operations research and artificial intelligence have traditionally remained separate in their activities. Recently, there has been an explosion of work at the border of the two fields, as members of both communities seek to leverage their activities and resolve problems that remain intractable to pure operations research or artificial intelligence techniques. This book presents representative results from this current flurry of activity and provides insights into promising directions for continued exploration. This book should be of special interest to researchers in artificial intelligence and operations research because it exposes a number of applications and techniques, which have benefited from the integration of problem solving strategies. Even researchers working on different applications or with different techniques can benefit from the descriptions contained here, because they provide insight into effective methods for combining approaches from the two fields. Additionally, researchers in both communities will find a wealth of pointers to challenging new problems and potential opportunities that exist at the interface between operations research and artificial intelligence. In addition to the obvious interest the book should have for members of the operations research and artificial intelligence communities, the papers here are also relevant to members of other research communities and development activities that can benefit from improvements to fundamental problem solving approaches.


Quantitative Decision Making with Spreadsheet Applications

Quantitative Decision Making with Spreadsheet Applications

Author: Lawrence L. Lapin

Publisher: South Western Educational Publishing

Published: 2002

Total Pages: 858

ISBN-13:

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Written for students with a background in algebra, this text provides a complete and modern treatment of basic management science methodology. The authors survey the variety and power of management science tools, working to alleviate students' apprehension about the subject and to enable students to recognize on-the-job situations in which management science methodology can be successfully employed. Emphasizing modeling skills for students of varying mathematical backgrounds, the authors explain how to use Microsoft Excel spreadsheets to build skills as they work through problems. In general, problems are broken into several parts to make difficult concepts easy for students to learn. This book's modular structure affords instructors maximum flexibility. This text contains a special student version of Palisade Corporation's DecisionTools Suite, containing @Risk, PrecisionTree, BestFit, TopRank and RiskView. This software is expressly provided for student use and requires student authorization to unlock the software for its full one year license. Professional customers may use the software for 30 days at which point they must contact Palisade Corporation for a professional version should they wish to continue using the software.