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Assignment Methods in Combinational Data Analysis

Assignment Methods in Combinational Data Analysis
Author: Lawrence Hubert
Publisher: CRC Press
Total Pages: 350
Release: 1986-09-29
Genre: Mathematics
ISBN: 9780824776176

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For the first time in one text, this handy pedagogical reference presents comprehensive inference strategies for organizing disparate nonparametric statistics topics under one scheme, illustrating ways of analyzing data sets based on generic notions of proximity (of "closeness") between objects. Assignment Methods in Combinatorial Data Analysis specifically reviews both linear and quadratic assignment models ... covers extensions to multiple object sets and higher-order assignment indices ... considers methods of applying linear assignment models in common data analysis contexts ... discusses a second motion of assignment (or "matching") based upon pairs of objects ... explores confirmatory methods of augmenting multidimensional sealing, cluster analysis, and related techniques ... labels sections in order of priority for continuity and convenience ... and includes extensive bibliographies of related literature. Assignment Methods in Combinatorial Data Analysis gives authoritative coverage of statistical testing, and measures of association in a single source. It is required reading and an invaluable reference for researchers and graduate students in the behavioral and social sciences using quantitative methods of data representation. Book jacket.


Branch-and-Bound Applications in Combinatorial Data Analysis

Branch-and-Bound Applications in Combinatorial Data Analysis
Author: Michael J. Brusco
Publisher: Springer Science & Business Media
Total Pages: 222
Release: 2005-11-30
Genre: Mathematics
ISBN: 0387288104

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This book provides clear explanatory text, illustrative mathematics and algorithms, demonstrations of the iterative process, pseudocode, and well-developed examples for applications of the branch-and-bound paradigm to important problems in combinatorial data analysis. Supplementary material, such as computer programs, are provided on the world wide web. Dr. Brusco is an editorial board member for the Journal of Classification, and a member of the Board of Directors for the Classification Society of North America.


Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering

Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering
Author: Israël César Lerman
Publisher: Springer
Total Pages: 664
Release: 2016-03-24
Genre: Computers
ISBN: 1447167937

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This book offers an original and broad exploration of the fundamental methods in Clustering and Combinatorial Data Analysis, presenting new formulations and ideas within this very active field. With extensive introductions, formal and mathematical developments and real case studies, this book provides readers with a deeper understanding of the mutual relationships between these methods, which are clearly expressed with respect to three facets: logical, combinatorial and statistical. Using relational mathematical representation, all types of data structures can be handled in precise and unified ways which the author highlights in three stages: Clustering a set of descriptive attributes Clustering a set of objects or a set of object categories Establishing correspondence between these two dual clusterings Tools for interpreting the reasons of a given cluster or clustering are also included. Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering will be a valuable resource for students and researchers who are interested in the areas of Data Analysis, Clustering, Data Mining and Knowledge Discovery.


Combinatorial Data Analysis

Combinatorial Data Analysis
Author: Lawrence Hubert
Publisher: SIAM
Total Pages: 172
Release: 2001-01-01
Genre: Science
ISBN: 0898714788

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Combinatorial data analysis refers to methods for the study of data sets where the arrangement of objects is central.


Handbook of Methods in Cultural Anthropology

Handbook of Methods in Cultural Anthropology
Author: H. Russell Bernard
Publisher: Rowman & Littlefield
Total Pages: 785
Release: 2014-07-08
Genre: Social Science
ISBN: 0759120722

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The Handbook of Methods in Cultural Anthropology, now in its second edition, maintains a strong benchmark for understanding the scope of contemporary anthropological field methods. Avoiding divisive debates over science and humanism, the contributors draw upon both traditions to explore fieldwork in practice. The second edition also reflects major developments of the past decade, including: the rising prominence of mixed methods, the emergence of new technologies, and evolving views on ethnographic writing. Spanning the chain of research, from designing a project through methods of data collection and interpretive analysis, the Handbook features new chapters on ethnography of online communities, social survey research, and network and geospatial analysis. Considered discussion of ethics, epistemology, and the presentation of research results to diverse audiences round out the volume. The result is an essential guide for all scholars, professionals, and advanced students who employ fieldwork.


Combinatorial Optimization and Applications

Combinatorial Optimization and Applications
Author: Zaixin Lu
Publisher: Springer
Total Pages: 810
Release: 2015-12-08
Genre: Computers
ISBN: 3319266268

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This book constitutes the refereed proceedings of the 9th International Conference on Combinatorial Optimization and Applications, COCOA 2015, held in Houston, TX, USA, in December 2015. The 59 full papers included in the book were carefully reviewed and selected from 125 submissions. Topics covered include classic combinatorial optimization; geometric optimization; network optimization; applied optimization; complexity and game; and optimization in graphs.


Sensor Data Analysis and Management

Sensor Data Analysis and Management
Author: A. Suresh
Publisher: John Wiley & Sons
Total Pages: 228
Release: 2021-11-11
Genre: Technology & Engineering
ISBN: 1119682487

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Discover detailed insights into the methods, algorithms, and techniques for deep learning in sensor data analysis Sensor Data Analysis and Management: The Role of Deep Learning delivers an insightful and practical overview of the applications of deep learning techniques to the analysis of sensor data. The book collects cutting-edge resources into a single collection designed to enlighten the reader on topics as varied as recent techniques for fault detection and classification in sensor data, the application of deep learning to Internet of Things sensors, and a case study on high-performance computer gathering and processing of sensor data. The editors have curated a distinguished group of perceptive and concise papers that show the potential of deep learning as a powerful tool for solving complex modelling problems across a broad range of industries, including predictive maintenance, health monitoring, financial portfolio forecasting, and driver assistance. The book contains real-time examples of analyzing sensor data using deep learning algorithms and a step-by-step approach for installing and training deep learning using the Python keras library. Readers will also benefit from the inclusion of: A thorough introduction to the Internet of Things for human activity recognition, based on wearable sensor data An exploration of the benefits of neural networks in real-time environmental sensor data analysis Practical discussions of supervised learning data representation, neural networks for predicting physical activity based on smartphone sensor data, and deep-learning analysis of location sensor data for human activity recognition An analysis of boosting with XGBoost for sensor data analysis Perfect for industry practitioners and academics involved in deep learning and the analysis of sensor data, Sensor Data Analysis and Management: The Role of Deep Learning will also earn a place in the libraries of undergraduate and graduate students in data science and computer science programs.


Quadratic Assignment and Related Problems

Quadratic Assignment and Related Problems
Author: Panos M. Pardalos
Publisher: American Mathematical Soc.
Total Pages: 380
Release: 1994-01-01
Genre: Mathematics
ISBN: 9780821870624

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The methods described here include eigenvalue estimates and reduction techniques for lower bounds, parallelization, genetic algorithms, polyhedral approaches, greedy and adaptive search algorithms.


Handbook of combinatorial optimization

Handbook of combinatorial optimization
Author: Dingzhu Du
Publisher: Springer Science & Business Media
Total Pages: 774
Release: 1998-12-15
Genre: Science
ISBN: 9780792352938

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This is the second of a multi-volume set. The various volumes deal with several algorithmic approaches for discrete problems as well as with many combinatorial problems. The emphasis is on late-1990s developments. Each chapter is essentially expository in nature, but scholarly in its treatment.


Handbook of Combinatorial Optimization

Handbook of Combinatorial Optimization
Author: Ding-Zhu Du
Publisher: Springer Science & Business Media
Total Pages: 2410
Release: 2013-12-01
Genre: Mathematics
ISBN: 1461303036

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Combinatorial (or discrete) optimization is one of the most active fields in the interface of operations research, computer science, and applied math ematics. Combinatorial optimization problems arise in various applications, including communications network design, VLSI design, machine vision, air line crew scheduling, corporate planning, computer-aided design and man ufacturing, database query design, cellular telephone frequency assignment, constraint directed reasoning, and computational biology. Furthermore, combinatorial optimization problems occur in many diverse areas such as linear and integer programming, graph theory, artificial intelligence, and number theory. All these problems, when formulated mathematically as the minimization or maximization of a certain function defined on some domain, have a commonality of discreteness. Historically, combinatorial optimization starts with linear programming. Linear programming has an entire range of important applications including production planning and distribution, personnel assignment, finance, alloca tion of economic resources, circuit simulation, and control systems. Leonid Kantorovich and Tjalling Koopmans received the Nobel Prize (1975) for their work on the optimal allocation of resources. Two important discover ies, the ellipsoid method (1979) and interior point approaches (1984) both provide polynomial time algorithms for linear programming. These algo rithms have had a profound effect in combinatorial optimization. Many polynomial-time solvable combinatorial optimization problems are special cases of linear programming (e.g. matching and maximum flow). In addi tion, linear programming relaxations are often the basis for many approxi mation algorithms for solving NP-hard problems (e.g. dual heuristics).