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Advances in Interdisciplinary Research in Engineering and Business Management (Asset Analytics)
by P. K. Kapur Gurinder Singh Saurabh PanwarThe volume contains latest research on software reliability assessment, testing, quality management, inventory management, mathematical modeling, analysis using soft computing techniques and management analytics. It links researcher and practitioner perspectives from different branches of engineering and management, and from around the world for a bird's eye view on the topics. The interdisciplinarity of engineering and management research is widely recognized and considered to be the most appropriate and significant in the fast changing dynamics of today's times. With insights from the volume, companies looking to drive decision making are provided actionable insight on each level and for every role using key indicators, to generate mobile-enabled scorecards, time-series based analysis using charts, and dashboards. At the same time, the book provides scholars with a platform to derive maximum utility in the area by subscribing to the idea of managing business through performance and business analytics.
Advances in Iterative Methods for Nonlinear Equations (SEMA SIMAI Springer Series #10)
by Sergio Amat Sonia BusquierThis book focuses on the approximation of nonlinear equations using iterative methods. Nine contributions are presented on the construction and analysis of these methods, the coverage encompassing convergence, efficiency, robustness, dynamics, and applications. Many problems are stated in the form of nonlinear equations, using mathematical modeling. In particular, a wide range of problems in Applied Mathematics and in Engineering can be solved by finding the solutions to these equations. The book reveals the importance of studying convergence aspects in iterative methods and shows that selection of the most efficient and robust iterative method for a given problem is crucial to guaranteeing a good approximation. A number of sample criteria for selecting the optimal method are presented, including those regarding the order of convergence, the computational cost, and the stability, including the dynamics. This book will appeal to researchers whose field of interest is related to nonlinear problems and equations, and their approximation.
Advances in Jet Substructure at the LHC: Algorithms, Measurements and Searches for New Physical Phenomena (Springer Tracts in Modern Physics #284)
by Roman KoglerThis book introduces the reader to the field of jet substructure, starting from the basic considerations for capturing decays of boosted particles in individual jets, to explaining state-of-the-art techniques. Jet substructure methods have become ubiquitous in data analyses at the LHC, with diverse applications stemming from the abundance of jets in proton-proton collisions, the presence of pileup and multiple interactions, and the need to reconstruct and identify decays of highly-Lorentz boosted particles. The last decade has seen a vast increase in our knowledge of all aspects of the field, with a proliferation of new jet substructure algorithms, calculations and measurements which are presented in this book. Recent developments and algorithms are described and put into the larger experimental context. Their usefulness and application are shown in many demonstrative examples and the phenomenological and experimental effects influencing their performance are discussed. A comprehensive overview is given of measurements and searches for new phenomena performed by the ATLAS and CMS Collaborations. This book shows the impressive versatility of jet substructure methods at the LHC.
Advances in K-means Clustering: A Data Mining Thinking (Springer Theses)
by Junjie WuNearly everyone knows K-means algorithm in the fields of data mining and business intelligence. But the ever-emerging data with extremely complicated characteristics bring new challenges to this "old" algorithm. This book addresses these challenges and makes novel contributions in establishing theoretical frameworks for K-means distances and K-means based consensus clustering, identifying the "dangerous" uniform effect and zero-value dilemma of K-means, adapting right measures for cluster validity, and integrating K-means with SVMs for rare class analysis. This book not only enriches the clustering and optimization theories, but also provides good guidance for the practical use of K-means, especially for important tasks such as network intrusion detection and credit fraud prediction. The thesis on which this book is based has won the "2010 National Excellent Doctoral Dissertation Award", the highest honor for not more than 100 PhD theses per year in China.
Advances in Knowledge Discovery and Data Mining: 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16–19, 2022, Proceedings, Part II (Lecture Notes in Computer Science #13281)
by João Gama Tianrui Li Yang Yu Enhong Chen Yu Zheng Fei TengThe 3-volume set LNAI 13280, LNAI 13281 and LNAI 13282 constitutes the proceedings of the 26th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2022, which was held during May 2022 in Chengdu, China. The 121 papers included in the proceedings were carefully reviewed and selected from a total of 558 submissions. They were organized in topical sections as follows: Part I: Data Science and Big Data Technologies, Part II: Foundations; and Part III: Applications.
Advances in Knowledge Discovery and Data Mining: 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7–10, 2024, Proceedings, Part IV (Lecture Notes in Computer Science #14648)
by Vincent S. Tseng Jerry Chun-Wei Lin Xing Xie Jian Pei De-Nian Yang Jen-Wei HuangThe 6-volume set LNAI 14645-14650 constitutes the proceedings of the 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, which took place in Taipei, Taiwan, during May 7–10, 2024. The 177 papers presented in these proceedings were carefully reviewed and selected from 720 submissions. They deal with new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, big data technologies, and foundations.
Advances in Knowledge Discovery and Data Mining: 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7–10, 2024, Proceedings, Part V (Lecture Notes in Computer Science #14649)
by De-Nian Yang Xing Xie Vincent S. Tseng Jian Pei Jen-Wei Huang Jerry Chun-Wei LinThe 6-volume set LNAI 14645-14650 constitutes the proceedings of the 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, which took place in Taipei, Taiwan, during May 7–10, 2024. The 177 papers presented in these proceedings were carefully reviewed and selected from 720 submissions. They deal with new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, big data technologies, and foundations.
Advances in Knowledge Discovery and Data Mining: 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7–10, 2024, Proceedings, Part VI (Lecture Notes in Computer Science #14650)
by De-Nian Yang Xing Xie Vincent S. Tseng Jian Pei Jen-Wei Huang Jerry Chun-Wei LinThe 6-volume set LNAI 14645-14650 constitutes the proceedings of the 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, which took place in Taipei, Taiwan, during May 7–10, 2024. The 177 papers presented in these proceedings were carefully reviewed and selected from 720 submissions. They deal with new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, big data technologies, and foundations.
Advances in Knowledge Discovery and Data Mining: 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7–10, 2024, Proceedings, Part III (Lecture Notes in Computer Science #14647)
by De-Nian Yang Xing Xie Vincent S. Tseng Jian Pei Jen-Wei Huang Jerry Chun-Wei LinThe 6-volume set LNAI 14645-14650 constitutes the proceedings of the 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, which took place in Taipei, Taiwan, during May 7–10, 2024. The 177 papers presented in these proceedings were carefully reviewed and selected from 720 submissions. They deal with new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, big data technologies, and foundations.
Advances in Knowledge Discovery and Data Mining: 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7–10, 2024, Proceedings, Part I (Lecture Notes in Computer Science #14645)
by De-Nian Yang Xing Xie Vincent S. Tseng Jian Pei Jen-Wei Huang Jerry Chun-Wei LinThe 6-volume set LNAI 14645-14650 constitutes the proceedings of the 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, which took place in Taipei, Taiwan, during May 7–10, 2024. The 177 papers presented in these proceedings were carefully reviewed and selected from 720 submissions. They deal with new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, big data technologies, and foundations.
Advances in Knowledge Discovery and Data Mining: 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7–10, 2024, Proceedings, Part II (Lecture Notes in Computer Science #14646)
by De-Nian Yang Xing Xie Vincent S. Tseng Jian Pei Jen-Wei Huang Jerry Chun-Wei LinThe 6-volume set LNAI 14645-14650 constitutes the proceedings of the 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, which took place in Taipei, Taiwan, during May 7–10, 2024. The 177 papers presented in these proceedings were carefully reviewed and selected from 720 submissions. They deal with new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, big data technologies, and foundations.
Advances in Latent Variables: Methods, Models and Applications (Studies in Theoretical and Applied Statistics)
by Maurizio Carpita Eugenio Brentari El Mostafa QannariThe book, belonging to the series "Studies in Theoretical and Applied Statistics- Selected Papers from the Statistical Societies", presents a peer-reviewed selection of contributions on relevant topics organized by the editors on the occasion of the SIS 2013 Statistical Conference "Advances in Latent Variables. Methods, Models and Applications", held at the Department of Economics and Management of the University of Brescia from June 19 to 21, 2013. The focus of the book is on advances in statistical methods for analyses with latent variables. In fact, in recent years, there has been increasing interest in this broad research area from both a theoretical and an applied point of view, as the statistical latent variable approach allows the effective modeling of complex real-life phenomena in a wide range of research fields. A major goal of the volume is to bring together articles written by statisticians from different research fields, which present different approaches and experiences related to the analysis of unobservable variables and the study of the relationships between them.
Advances in Lie Superalgebras (Springer INdAM Series #7)
by Maria Gorelik Paolo PapiThe volume is the outcome of the conference "Lie superalgebras," which was held at the Istituto Nazionale di Alta Matematica, in 2012. The conference gathered many specialists in the subject, and the talks held provided comprehensive insights into the newest trends in research on Lie superalgebras (and related topics like vertex algebras, representation theory and supergeometry). The book contains contributions of many leading esperts in the field and provides a complete account of the newest trends in research on Lie Superalgebras.
Advances in Longitudinal Data Methods in Applied Economic Research: 2020 International Conference on Applied Economics (ICOAE) (Springer Proceedings in Business and Economics)
by Nicholas Tsounis Aspasia VlachveiThis volume presents new methods and applications in longitudinal data estimation methodology in applied economic. Featuring selected papers from the 2020 the International Conference on Applied Economics (ICOAE 2020) held virtually due to the corona virus pandemic, this book examines interdisciplinary topics such as financial economics, international economics, agricultural economics, marketing and management. Country specific case studies are also featured.
Advances in Longitudinal Survey Methodology (Wiley Series in Probability and Statistics)
by Peter LynnThis book provides a comprehensive overview of the many advances that have been made in the field of longitudinal survey methodology over the past twelve years, as well as slightly extending the topic coverage of the earlier volume, “Methodology of Longitudinal Surveys.” As such, it describes the state of the art in designing, implementing, and analysing longitudinal surveys. The greatly expanded enthusiasm for longitudinal surveys has brought with it a thirst for knowledge about the best ways to design and implement such surveys. Considerable advances in knowledge have been made in recent years in areas that are covered in this book that encompasses all stages of the design and implementation of longitudinal surveys. Topics include: Dynamic sampling for the representation of dynamic populations; Methods for tracking mobile sample members over time; Methods for maintaining co-operation over time; Targeted design features for response maximisation; The use of longitudinal survey paradata for field management; Advances in dependent interviewing techniques; This book is an invaluable resource providing deeper insight into longitudinal surveys.
Advances in Management Research: Innovation and Technology (Mathematical Engineering, Manufacturing, and Management Sciences)
by Avinash K. Shrivastava Sudhir Rana Amiya Kumar Mohapatra Mangey RamThis book covers advancements across business domains in knowledge and information management. It presents research trends in the fields of management, innovation, and technology, and is composed of research papers that show applications of IT, analytics, and business operations in industry and in educational institutions. It offers a combination of scientific research methods and concepts, with contributions from globally renowned authors; presents various management domains from a number of countries for a global perspective; and provides a unique combination of topics and methods while giving insights on the management domain using a holistic approach. The book provides scholars with a platform to derive maximum utility in the area of management, research, and technology by subscribing to the idea of managing business through performance and management technology.
Advances in Mathematical Analysis and its Applications
by Bipan Hazarika Santanu Acharjee H. M. SrivastavaAdvances in Mathematical Analysis and its Applications is designed as a reference text and explores several important aspects of recent developments in the interdisciplinary applications of mathematical analysis (MA), and highlights how MA is now being employed in many areas of scientific research. It discusses theory and problems in real and complex analysis, functional analysis, approximation theory, operator theory, analytic inequalities, the Radon transform, nonlinear analysis, and various applications of interdisciplinary research; some topics are also devoted to specific applications such as the three-body problem, finite element analysis in fluid mechanics, algorithms for difference of monotone operators, a vibrational approach to a financial problem, and more. Features: The book encompasses several contemporary topics in the field of mathematical analysis, their applications, and relevancies in other areas of research and study. It offers an understanding of research problems by presenting the necessary developments in reasonable details The book also discusses applications and uses of operator theory, fixed-point theory, inequalities, bi-univalent functions, functional equations, and scalar-objective programming, and presents various associated problems and ways to solve such problems Contains applications on wavelets analysis and COVID-19 to show that mathematical analysis has interdisciplinary as well as real life applications. The book is aimed primarily at advanced undergraduates and postgraduate students studying mathematical analysis and mathematics in general. Researchers will also find this book useful.
Advances in Mathematical Economics: Volume 23 (Advances in Mathematical Economics #23)
by Toru MaruyamaThe series is designed to bring together those mathematicians who are seriously interested in getting new challenging stimuli from economic theories with those economists who are seeking effective mathematical tools for their research. A lot of economic problems can be formulated as constrained optimizations and equilibration of their solutions. Various mathematical theories have been supplying economists with indispensable machineries for these problems arising in economic theory. Conversely, mathematicians have been stimulated by various mathematical difficulties raised by economic theories.
Advances in Mathematical Economics: Volume 22 (Advances in Mathematical Economics #22)
by Toru Maruyama Shigeo KusuokaThe series is designed to bring together those mathematicians who are seriously interested in getting new challenging stimuli from economic theories with those economists who are seeking effective mathematical tools for their research. A lot of economic problems can be formulated as constrained optimizations and equilibration of their solutions. Various mathematical theories have been supplying economists with indispensable machineries for these problems arising in economic theory. Conversely, mathematicians have been stimulated by various mathematical difficulties raised by economic theories.
Advances in Mathematical Economics Volume 15 (Advances in Mathematical Economics #20)
by Shigeo Kusuoka Toru MaruyamaA lot of economic problems can be formulated as constrained optimizations and equilibration of their solutions. Various mathematical theories have been supplying economists with indispensable machineries for these problems arising in economic theory. Conversely, mathematicians have been stimulated by various mathematical difficulties raised by economic theories. The series is designed to bring together those mathematicians who are seriously interested in getting new challenging stimuli from economic theories with those economists who are seeking effective mathematical tools for their research.
Advances in Mathematical Inequalities and Applications (Trends in Mathematics)
by Praveen Agarwal Silvestru Sever Dragomir Mohamed Jleli Bessem SametThis book is a collection of original research and survey articles on mathematical inequalities and their numerous applications in diverse areas of mathematics and engineering. It includes chapters on convexity and related concepts; inequalities for mean values, sums, functions, operators, functionals, integrals and their applications in various branches of mathematics and related sciences; fractional integral inequalities; and weighted type integral inequalities. It also presents their wide applications in biomathematics, boundary value problems, mechanics, queuing models, scattering, and geomechanics in a concise, but easily understandable way that makes the further ramifications and future directions clear. The broad scope and high quality of the contributions make this book highly attractive for graduates, postgraduates and researchers. All the contributing authors are leading international academics, scientists, researchers and scholars.
Advances in Mathematical Modeling and Experimental Methods for Materials and Structures: The Jacob Aboudi Volume (Solid Mechanics and Its Applications #168)
by Leslie Banks-Sills Rivka GilatThis work presents a collection of papers, written by leading authors in honor of Professor Jacob Aboudi. Jacob Aboudi served as Head of the Department of Solid Mechanics, Materials and Structures, as Dean of the Faculty of Engineering and as Incumbent of the Diane and Arthur Belfer Chair of Mechanics and Biomechanics. Aboudi has published more than 200 papers, 2 books and is a leading authority in the field of composite materials. The papers in this volume cover a wide spectrum of topics in the forefront of research in experimental methods and mathematical modeling of materials and structures. Subjects treated include developments in materials science, theoretical and applied mechanics, applied mathematics, applied physics, computational methods in engineering, mechanical and civil engineering. Both theoretical and experimental approaches are presented. As this book reflects the state of the art, possible engineering applications and future research directions are suggested.
Advances in Mathematical Modeling and Scientific Computing: International Conference on Recent Developments in Mathematics, Dubai, 2022 – Volume 2 (Trends in Mathematics)
by Firuz Kamalov R. Sivaraj Ho-Hon LeungThis volume collects the proceedings of the International Conference on Recent Developments in Mathematics (ICRDM), held at Canadian University Dubai, UAE, in August 2022. This is the second of two volumes, with this volume focusing on more applied topics, particularly mathematical modeling and scientific computing, and the first covering recent advances in algebra and analysis. Each chapter identifies existing research problems, the techniques needed to solve them, and a thorough analysis of the obtained results. Advances in Mathematical Modeling and Scientific Computing will appeal to a range of postgraduate students, researchers, and industry professionals interested in exploring recent advancements in applied mathematics.
Advances in Mathematical Modeling, Optimization and Optimal Control (Springer Optimization and Its Applications #109)
by Jean-Baptiste Hiriart-Urruty Adam Korytowski Helmut Maurer Maciej SzymkatThis book contains anin-depth presentation of the plenary talks given from the 16th French--German--Polish Conference onOptimization, held in Kraków, Poland in 2013. Each chapter in this book exhibitsa comprehensive look at new theoretical results and applications inmathematical modeling, optimization, and optimal control. Students andresearchers involved in image processing, partial differential inclusions,shape optimization, optimal control theory and its applications to medical andrehabilitation technology, will find this book valuable. The first chapter by Martin Burger provides an overview ofrecent developments related to Bregman distances, which are vital tool ininverse problems and image processing. The chapter by Piotr Kalita studies theoperator version of a first order in time partial differential inclusion andits time discretization. In the chapter by Günter Leugering, Jan SokoÅ,owski andAntoni Å»ochowski, nonsmooth shape optimization problems for variational inequalitiesare considered. The next chapter, by Katja Mombaur is devoted to applicationsof optimal control and inverse optimal control in the field of medical andrehabilitation technology, in particular in human movement analysis, therapyand improvement by means of medical devices. The final chapter, by NikolaiOsmolovskii and Helmut Maurer provides a survey on no-gap second orderoptimality conditions in the calculus of variations and optimal control, and adiscussion of their further development.
Advances in Mathematical Modelling, Applied Analysis and Computation: Proceedings of ICMMAAC 2023 – Volume 1 (Lecture Notes in Networks and Systems #952)
by Jagdev Singh George A. Anastassiou Dumitru Baleanu Devendra KumarThis book gathers selected research articles presented in the “6th International Conference on Mathematical Modelling, Applied Analysis and Computation (ICMMAAC)”, held at JECRC University, Jaipur, during August 3–5, 2023. This book is focused on articles dealing with necessary theory and techniques in a balanced manner, and contributes towards solving mathematical problems arising in physics, engineering, chemistry, biological systems, medicine, networking system, control systems, environmental sciences, social issues of current interest and more. Annually held since 2018, the ICMMAAC conference aimed, in particular, to foster cooperation among practitioners and theoreticians in these fields. This proceedings is an invaluable resource for researchers, academicians and professionals associated or interested in current advances in different aspects of mathematical modelling, computational algorithms and analysis necessary for handling real-world problems.