Extensions Of Dynamic Programming For Combinatorial Optimization And Data Mining

Extensions Of Dynamic Programming For Combinatorial Optimization And Data Mining Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Extensions Of Dynamic Programming For Combinatorial Optimization And Data Mining book. This book definitely worth reading, it is an incredibly well-written.

Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining

Hassan AbouEisha,Talha Amin,Igor Chikalov,Shahid Hussain,Mikhail Moshkov
Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining Book PDF

Author : Hassan AbouEisha,Talha Amin,Igor Chikalov,Shahid Hussain,Mikhail Moshkov
Publisher : Springer
Page : 280 pages
File Size : 55,7 Mb
Release : 2018-05-22
Category : Technology & Engineering
ISBN : 9783319918396

Get Book

Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining by Hassan AbouEisha,Talha Amin,Igor Chikalov,Shahid Hussain,Mikhail Moshkov Pdf

Dynamic programming is an efficient technique for solving optimization problems. It is based on breaking the initial problem down into simpler ones and solving these sub-problems, beginning with the simplest ones. A conventional dynamic programming algorithm returns an optimal object from a given set of objects. This book develops extensions of dynamic programming, enabling us to (i) describe the set of objects under consideration; (ii) perform a multi-stage optimization of objects relative to different criteria; (iii) count the number of optimal objects; (iv) find the set of Pareto optimal points for bi-criteria optimization problems; and (v) to study relationships between two criteria. It considers various applications, including optimization of decision trees and decision rule systems as algorithms for problem solving, as ways for knowledge representation, and as classifiers; optimization of element partition trees for rectangular meshes, which are used in finite element methods for solving PDEs; and multi-stage optimization for such classic combinatorial optimization problems as matrix chain multiplication, binary search trees, global sequence alignment, and shortest paths. The results presented are useful for researchers in combinatorial optimization, data mining, knowledge discovery, machine learning, and finite element methods, especially those working in rough set theory, test theory, logical analysis of data, and PDE solvers. This book can be used as the basis for graduate courses.

Combinatorial Data Analysis

Lawrence Hubert,Phipps Arabie,Jacqueline Meulman
Combinatorial Data Analysis Book PDF

Author : Lawrence Hubert,Phipps Arabie,Jacqueline Meulman
Publisher : SIAM
Page : 174 pages
File Size : 42,7 Mb
Release : 2001-01-01
Category : Science
ISBN : 0898718554

Get Book

Combinatorial Data Analysis by Lawrence Hubert,Phipps Arabie,Jacqueline Meulman Pdf

Combinatorial data analysis (CDA) refers to a wide class of methods for the study of relevant data sets in which the arrangement of a collection of objects is absolutely central. The focus of this monograph is on the identification of arrangements, which are then further restricted to where the combinatorial search is carried out by a recursive optimization process based on the general principles of dynamic programming (DP).

Dynamic Programming Multi-Objective Combinatorial Optimization

Michal Mankowski,Mikhail Moshkov
Dynamic Programming Multi Objective Combinatorial Optimization Book PDF

Author : Michal Mankowski,Mikhail Moshkov
Publisher : Springer Nature
Page : 213 pages
File Size : 42,6 Mb
Release : 2021-02-08
Category : Technology & Engineering
ISBN : 9783030639204

Get Book

Dynamic Programming Multi-Objective Combinatorial Optimization by Michal Mankowski,Mikhail Moshkov Pdf

This book introduces a fairly universal approach to the design and analysis of exact optimization algorithms for multi-objective combinatorial optimization problems. It proposes the circuits without repetitions representing the sets of feasible solutions along with the increasing and strictly increasing cost functions as a model for such problems. The book designs the algorithms for multi-stage and bi-criteria optimization and for counting the solutions in the framework of this model. As applications, this book studies eleven known combinatorial optimization problems: matrix chain multiplication, global sequence alignment, optimal paths in directed graphs, binary search trees, convex polygon triangulation, line breaking (text justification), one-dimensional clustering, optimal bitonic tour, segmented least squares, optimization of matchings in trees, and 0/1 knapsack problem. The results presented are useful for researchers in combinatorial optimization. This book is also useful as the basis for graduate courses.

Intelligence Science III

Zhongzhi Shi,Mihir Chakraborty,Samarjit Kar
Intelligence Science III Book PDF

Author : Zhongzhi Shi,Mihir Chakraborty,Samarjit Kar
Publisher : Springer Nature
Page : 317 pages
File Size : 40,7 Mb
Release : 2021-04-14
Category : Computers
ISBN : 9783030748265

Get Book

Intelligence Science III by Zhongzhi Shi,Mihir Chakraborty,Samarjit Kar Pdf

This book constitutes the refereed post-conference proceedings of the 4th International Conference on Intelligence Science, ICIS 2020, held in Durgapur, India, in February 2021 (originally November 2020). The 23 full papers and 4 short papers presented were carefully reviewed and selected from 42 submissions. One extended abstract is also included. They deal with key issues in brain cognition; uncertain theory; machine learning; data intelligence; language cognition; vision cognition; perceptual intelligence; intelligent robot; and medical artificial intelligence.

Advanced Computing and Intelligent Technologies

Monica Bianchini,Vincenzo Piuri,Sanjoy Das,Rabindra Nath Shaw
Advanced Computing and Intelligent Technologies Book PDF

Author : Monica Bianchini,Vincenzo Piuri,Sanjoy Das,Rabindra Nath Shaw
Publisher : Springer Nature
Page : 649 pages
File Size : 42,8 Mb
Release : 2021-07-21
Category : Technology & Engineering
ISBN : 9789811621642

Get Book

Advanced Computing and Intelligent Technologies by Monica Bianchini,Vincenzo Piuri,Sanjoy Das,Rabindra Nath Shaw Pdf

This book gathers selected high-quality research papers presented at International Conference on Advanced Computing and Intelligent Technologies (ICACIT 2021) held at NCR New Delhi, India, during March 20–21, 2021, jointly organized by Galgotias University, India, and Department of Information Engineering and Mathematics Università Di Siena, Italy. It discusses emerging topics pertaining to advanced computing, intelligent technologies, and networks including AI and machine learning, data mining, big data analytics, high-performance computing network performance analysis, Internet of things networks, wireless sensor networks, and others. The book offers a valuable asset for researchers from both academia and industries involved in advanced studies.

Artificial Intelligence and Soft Computing

Leszek Rutkowski,Rafał Scherer,Marcin Korytkowski,Witold Pedrycz,Ryszard Tadeusiewicz,Jacek M. Zurada
Artificial Intelligence and Soft Computing Book PDF

Author : Leszek Rutkowski,Rafał Scherer,Marcin Korytkowski,Witold Pedrycz,Ryszard Tadeusiewicz,Jacek M. Zurada
Publisher : Springer
Page : 712 pages
File Size : 40,6 Mb
Release : 2019-05-27
Category : Computers
ISBN : 9783030209155

Get Book

Artificial Intelligence and Soft Computing by Leszek Rutkowski,Rafał Scherer,Marcin Korytkowski,Witold Pedrycz,Ryszard Tadeusiewicz,Jacek M. Zurada Pdf

The two-volume set LNCS 11508 and 11509 constitutes the refereed proceedings of of the 18th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2019, held in Zakopane, Poland, in June 2019. The 122 revised full papers presented were carefully reviewed and selected from 333 submissions. The papers included in the first volume are organized in the following five parts: neural networks and their applications; fuzzy systems and their applications; evolutionary algorithms and their applications; pattern classification; artificial intelligence in modeling and simulation. The papers included in the second volume are organized in the following five parts: computer vision, image and speech analysis; bioinformatics, biometrics, and medical applications; data mining; various problems of artificial intelligence; agent systems, robotics and control.

Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions

Fawaz Alsolami,Mohammad Azad,Igor Chikalov,Mikhail Moshkov
Decision and Inhibitory Trees and Rules for Decision Tables with Many valued Decisions Book PDF

Author : Fawaz Alsolami,Mohammad Azad,Igor Chikalov,Mikhail Moshkov
Publisher : Springer
Page : 280 pages
File Size : 50,8 Mb
Release : 2019-03-13
Category : Technology & Engineering
ISBN : 9783030128548

Get Book

Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions by Fawaz Alsolami,Mohammad Azad,Igor Chikalov,Mikhail Moshkov Pdf

The results presented here (including the assessment of a new tool – inhibitory trees) offer valuable tools for researchers in the areas of data mining, knowledge discovery, and machine learning, especially those whose work involves decision tables with many-valued decisions. The authors consider various examples of problems and corresponding decision tables with many-valued decisions, discuss the difference between decision and inhibitory trees and rules, and develop tools for their analysis and design. Applications include the study of totally optimal (optimal in relation to a number of criteria simultaneously) decision and inhibitory trees and rules; the comparison of greedy heuristics for tree and rule construction as single-criterion and bi-criteria optimization algorithms; and the development of a restricted multi-pruning approach used in classification and knowledge representation.

Decision Trees for Fault Diagnosis in Circuits and Switching Networks

Monther Busbait,Mikhail Moshkov,Albina Moshkova,Vladimir Shevtchenko
Decision Trees for Fault Diagnosis in Circuits and Switching Networks Book PDF

Author : Monther Busbait,Mikhail Moshkov,Albina Moshkova,Vladimir Shevtchenko
Publisher : Springer Nature
Page : 135 pages
File Size : 45,8 Mb
Release : 2023-09-11
Category : Technology & Engineering
ISBN : 9783031390319

Get Book

Decision Trees for Fault Diagnosis in Circuits and Switching Networks by Monther Busbait,Mikhail Moshkov,Albina Moshkova,Vladimir Shevtchenko Pdf

In this book, we study decision trees for fault diagnosis in circuits and switching networks, which are among the most fundamental models for computing Boolean functions. We consider two main cases: when the scheme (circuit or switching network) has the same mode of operation for both calculation and diagnostics, and when the scheme has two modes of operation—normal for calculation and special for diagnostics. In the former case, we get mostly negative results, including superpolynomial lower bounds on the minimum depth of diagnostic decision trees depending on scheme complexity and the NP-hardness of construction diagnostic decision trees. In the latter case, we describe classes of schemes and types of faults for which decision trees can be effectively used to diagnose schemes, when they are transformed into so-called iteration-free schemes. The tools and results discussed in this book help to understand both the possibilities and challenges of using decision trees to diagnose faults in various schemes. The book is useful to specialists both in the field of theoretical and technical diagnostics.It can also be used for the creation of courses for graduate students.

Transactions on Rough Sets XXII

James F. Peters,Andrzej Skowron
Transactions on Rough Sets XXII Book PDF

Author : James F. Peters,Andrzej Skowron
Publisher : Springer Nature
Page : 335 pages
File Size : 44,6 Mb
Release : 2020-12-16
Category : Computers
ISBN : 9783662627983

Get Book

Transactions on Rough Sets XXII by James F. Peters,Andrzej Skowron Pdf

The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence. Volume XXII in the series is a continuation of a number of research streams that have grown out of the seminal work of Zdzislaw Pawlak during the first decade of the 21st century.

Comparative Analysis of Deterministic and Nondeterministic Decision Trees

Mikhail Moshkov
Comparative Analysis of Deterministic and Nondeterministic Decision Trees Book PDF

Author : Mikhail Moshkov
Publisher : Springer Nature
Page : 297 pages
File Size : 44,6 Mb
Release : 2020-03-14
Category : Technology & Engineering
ISBN : 9783030417284

Get Book

Comparative Analysis of Deterministic and Nondeterministic Decision Trees by Mikhail Moshkov Pdf

This book compares four parameters of problems in arbitrary information systems: complexity of problem representation and complexity of deterministic, nondeterministic, and strongly nondeterministic decision trees for problem solving. Deterministic decision trees are widely used as classifiers, as a means of knowledge representation, and as algorithms. Nondeterministic (strongly nondeterministic) decision trees can be interpreted as systems of true decision rules that cover all objects (objects from one decision class). This book develops tools for the study of decision trees, including bounds on complexity and algorithms for construction of decision trees for decision tables with many-valued decisions. It considers two approaches to the investigation of decision trees for problems in information systems: local, when decision trees can use only attributes from the problem representation; and global, when decision trees can use arbitrary attributes from the information system. For both approaches, it describes all possible types of relationships among the four parameters considered and discusses the algorithmic problems related to decision tree optimization. The results presented are useful for researchers who apply decision trees and rules to algorithm design and to data analysis, especially those working in rough set theory, test theory and logical analysis of data. This book can also be used as the basis for graduate courses.

Rough Sets

Andrea Campagner,Oliver Urs Lenz,Shuyin Xia,Dominik Ślęzak,Jarosław Wąs,JingTao Yao
Rough Sets Book PDF

Author : Andrea Campagner,Oliver Urs Lenz,Shuyin Xia,Dominik Ślęzak,Jarosław Wąs,JingTao Yao
Publisher : Springer Nature
Page : 686 pages
File Size : 49,9 Mb
Release : 2024-01-31
Category : Computers
ISBN : 9783031509599

Get Book

Rough Sets by Andrea Campagner,Oliver Urs Lenz,Shuyin Xia,Dominik Ślęzak,Jarosław Wąs,JingTao Yao Pdf

This book constitutes the refereed proceedings of the International Joint Conference on Rough Sets, IJCRS 2023, held in Krakow, Poland, during October 5–8, 2023. The 43 full papers included in this book were carefully reviewed and selected from 83 submissions. They were organized in topical sections as follows: Rough Set Models, Foundations, Three-way Decisions, Granular Models, Distances and Similarities, Hybrid Approaches, Applications, Cybersecurity and IoT.

Decision Trees with Hypotheses

Mohammad Azad,Igor Chikalov,Shahid Hussain,Mikhail Moshkov,Beata Zielosko
Decision Trees with Hypotheses Book PDF

Author : Mohammad Azad,Igor Chikalov,Shahid Hussain,Mikhail Moshkov,Beata Zielosko
Publisher : Springer Nature
Page : 148 pages
File Size : 53,7 Mb
Release : 2022-11-18
Category : Technology & Engineering
ISBN : 9783031085857

Get Book

Decision Trees with Hypotheses by Mohammad Azad,Igor Chikalov,Shahid Hussain,Mikhail Moshkov,Beata Zielosko Pdf

In this book, the concept of a hypothesis about the values of all attributes is added to the standard decision tree model, considered, in particular, in test theory and rough set theory. This extension allows us to use the analog of equivalence queries from exact learning and explore decision trees that are based on various combinations of attributes, hypotheses, and proper hypotheses (analog of proper equivalence queries). The two main goals of this book are (i) to provide tools for the experimental and theoretical study of decision trees with hypotheses and (ii) to compare these decision trees with conventional decision trees that use only queries, each based on a single attribute. Both experimental and theoretical results show that decision trees with hypotheses can have less complexity than conventional decision trees. These results open up some prospects for using decision trees with hypotheses as a means of knowledge representation and algorithms for computing Boolean functions. The obtained theoretical results and tools for studying decision trees with hypotheses are useful for researchers using decision trees and rules in data analysis. This book can also be used as the basis for graduate courses.

Rough Sets

Sheela Ramanna,Chris Cornelis,Davide Ciucci
Rough Sets Book PDF

Author : Sheela Ramanna,Chris Cornelis,Davide Ciucci
Publisher : Springer Nature
Page : 320 pages
File Size : 55,5 Mb
Release : 2021-09-17
Category : Computers
ISBN : 9783030873349

Get Book

Rough Sets by Sheela Ramanna,Chris Cornelis,Davide Ciucci Pdf

The volume LNAI 12872 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2021, Bratislava, Slovak Republic, in September 2021. The conference was held as a hybrid event due to the COVID-19 pandemic. The 13 full paper and 7 short papers presented were carefully reviewed and selected from 26 submissions, along with 5 invited papers. The papers are grouped in the following topical sections: core rough set models and methods, related methods and hybridization, and areas of applications.

Advances in Computational and Stochastic Optimization, Logic Programming, and Heuristic Search

David L. Woodruff
Advances in Computational and Stochastic Optimization Logic Programming and Heuristic Search Book PDF

Author : David L. Woodruff
Publisher : Springer Science & Business Media
Page : 315 pages
File Size : 52,7 Mb
Release : 2013-03-14
Category : Business & Economics
ISBN : 9781475728071

Get Book

Advances in Computational and Stochastic Optimization, Logic Programming, and Heuristic Search by David L. Woodruff Pdf

Computer Science and Operations Research continue to have a synergistic relationship and this book - as a part of the Operations Research and Computer Science Interface Series - sits squarely in the center of the confluence of these two technical research communities. The research presented in the volume is evidence of the expanding frontiers of these two intersecting disciplines and provides researchers and practitioners with new work in the areas of logic programming, stochastic optimization, heuristic search and post-solution analysis for integer programs. The chapter topics span the spectrum of application level. Some of the chapters are highly applied and others represent work in which the application potential is only beginning. In addition, each chapter contains expository material and reviews of the literature designed to enhance the participation of the reader in this expanding interface.

Proceedings of 5th International Conference on Big Data Analysis and Data Mining 2018

ConferenceSeries
Proceedings of 5th International Conference on Big Data Analysis and Data Mining 2018 Book PDF

Author : ConferenceSeries
Publisher : ConferenceSeries
Page : 89 pages
File Size : 50,6 Mb
Release : 2024-06-30
Category : Electronic
ISBN : 8210379456XXX

Get Book

Proceedings of 5th International Conference on Big Data Analysis and Data Mining 2018 by ConferenceSeries Pdf

June 20-22, 2018 Rome, Italy Key Topics : Data Mining Applications in Science, Engineering, Healthcare and Medicine, Big Data in Nursing Research, Data Mining and Machine Learning, Big Data Analytics, Optimization and Big Data, Big data technologies, Big Data algorithm, Big Data Applications, Forecasting from Big Data, Data Mining Methods and Algorithms, Artificial Intelligence, Data privacy and ethics, Data Warehousing, Data Mining Tools and Software, Data Mining Tasks and Processes, Data Mining analysis, Cloud computing, Internet of things (IOT), Social network analysis, Complexity and algorithms, Business Analytics, Open data, New visualization techniques, Search and data mining, Frequent pattern mining, Clustering, Others