data mining theories algorithms and examples human factors and ergonomics

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Data Mining

Author : Nong Ye
ISBN : 9781439808382
Genre : Business & Economics
File Size : 79. 74 MB
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New technologies have enabled us to collect massive amounts of data in many fields. However, our pace of discovering useful information and knowledge from these data falls far behind our pace of collecting the data. Data Mining: Theories, Algorithms, and Examples introduces and explains a comprehensive set of data mining algorithms from various data mining fields. The book reviews theoretical rationales and procedural details of data mining algorithms, including those commonly found in the literature and those presenting considerable difficulty, using small data examples to explain and walk through the algorithms. The book covers a wide range of data mining algorithms, including those commonly found in data mining literature and those not fully covered in most of existing literature due to their considerable difficulty. The book presents a list of software packages that support the data mining algorithms, applications of the data mining algorithms with references, and exercises, along with the solutions manual and PowerPoint slides of lectures. The author takes a practical approach to data mining algorithms so that the data patterns produced can be fully interpreted. This approach enables students to understand theoretical and operational aspects of data mining algorithms and to manually execute the algorithms for a thorough understanding of the data patterns produced by them.

Forensic Human Factors And Ergonomics

Author : Michael S. Wogalter
ISBN : 9780429869150
Genre : Law
File Size : 54. 34 MB
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This book has 18 case study chapters investigating various injury scenarios through the use of a Human Factors and Ergonomics (HFE) analysis. Each injury scenario derives from one or more similar lawsuits (but names, places and some of the details are fictionalized). The scenarios describe a ‘slice of life’ of people interacting with products, equipment, tasks, and environments before they are seriously hurt. The forensic analyses that follows each scenario gives a background of prior similar events and systematically examines potential causes leading up the injury event, with emphasis on the person-machine interface, human error, hazard analysis, hazard control and a model of communication-human information processing (C-HIP). Chapter authors are highly experienced expert witnesses in HFE. The methods used are general techniques that can be applied to other injury scenarios, but would be better if employed earlier in a product’s life cycle to prevent or limit injury. The last chapter offers some broad take-away points that cut across several of the case studies.

Handbook Of Human Factors In Air Transportation Systems

Author : Steven James Landry
ISBN : 9781351653145
Genre : Technology & Engineering
File Size : 83. 66 MB
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One of the primary applications of human factors engineering is in the aviation domain, and the importance of human factors has never been greater as U.S. and European authorities seek to modernize the air transportation system through the introduction of advanced automation. This handbook provides regulators, practitioners, researchers, and educators a comprehensive resource for understanding and applying human factors to air transportation.

Ergonomics In Design

Author : Marcelo M. Soares
ISBN : 9781498760713
Genre : Computers
File Size : 67. 13 MB
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Currently people deal with various entities (such as hardware, software, buildings, spaces, communities and other people), to meet specific goals while going about their everyday activities in work and leisure environments. These entities have become more and more complex and incorporate functions that hitherto had never been allocated such as automation, use in virtual environments, connectivity, personalization, mobility and friendliness. This book contributes to the analysis of human-system interactions from the perspective of ergonomics, regardless of how simple or complex they are, while incorporating the needs of users and workers in a healthy safe, efficient and enjoyable manner. This book provides a comprehensive review of the state of the art of current ergonomic in design methods and techniques that are being applied to products, machinery, equipment, workstations and systems while taking new technologies and their applications into consideration.? Ergonomics in Design: Methods and Techniques is organized into four sections and 30 chapters covering topics such as conceptual aspects of ergonomics in design, the knowledge of human characteristics applied to design, and the methodological aspects of design. Examples are shown in several areas of design including, but not limited to, consumer products, games, transport, education, architecture, fashion, sustainability, biomechanics, intelligent systems, virtual reality, and neurodesign. This book will: Introduces the newest developments in social-cultural approaches Shows different ergonomics in design methodological approaches Divulges the ways that ergonomics can contribute to a successful design Applies different subjects to support the design including –ergonomics, engineering, architecture, urbanism, neuro, and product designs. Presents recent technologies in ergonomic design, as applied to product design. With the contributions from a team of 75 researchers from 11 countries, the book covers the state-of-the-art of ergonomics in a way to produce better design.

Handbook Of Digital Human Modeling

Author : Vincent G. Duffy
ISBN : 9781420063523
Genre : Technology & Engineering
File Size : 46. 54 MB
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The rapid introduction of sophisticated computers, services, telecommunications systems, and manufacturing systems has caused a major shift in the way people use and work with technology. It is not surprising that computer-aided modeling has emerged as a promising method for ensuring products meet the requirements of the consumer. The Handbook of Digital Human Modeling provides comprehensive coverage of the theory, tools, and methods to effectively achieve this objective. The 56 chapters in this book, written by 113 contributing authorities from Canada, China, France, Germany, the Netherlands, Poland, Sweden, Taiwan, UK, and the US, provide a wealth of international knowledge and guidelines. They cover applications in advanced manufacturing, aerospace, automotive, data visualization and simulation, defense and military systems, design for impaired mobility, healthcare and medicine, information systems, and product design. The text elucidates tools to help evaluate product and work design while reducing the need for physical prototyping. Additional software and demonstration materials on the CRC Press web site include a never-before-released 220-page step-by-step UGS-Siemens JackTM help manual developed at Purdue University. The current gap between capability to correctly predict outcomes and set expectation for new and existing products and processes affects human-system performance, market acceptance, product safety, and satisfaction at work. The handbook provides the fundamental concepts and tools for digital human modeling and simulation with a focus on its foundations in human factors and ergonomics. The tools identified and made available in this handbook help reduce the need for physical prototyping. They enable engineers to quantify acceptability and risk in design in terms of the human factors and ergonomics.

The Handbook Of Data Mining

Author : Nong Ye
ISBN : 9781410607515
Genre : Computers
File Size : 77. 83 MB
Format : PDF, Kindle
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Created with the input of a distinguished International Board of the foremost authorities in data mining from academia and industry, The Handbook of Data Mining presents comprehensive coverage of data mining concepts and techniques. Algorithms, methodologies, management issues, and tools are all illustrated through engaging examples and real-world applications to ease understanding of the materials. This book is organized into three parts. Part I presents various data mining methodologies, concepts, and available software tools for each methodology. Part II addresses various issues typically faced in the management of data mining projects and tips on how to maximize outcome utility. Part III features numerous real-world applications of these techniques in a variety of areas, including human performance, geospatial, bioinformatics, on- and off-line customer transaction activity, security-related computer audits, network traffic, text and image, and manufacturing quality. This Handbook is ideal for researchers and developers who want to use data mining techniques to derive scientific inferences where extensive data is available in scattered reports and publications. It is also an excellent resource for graduate-level courses on data mining and decision and expert systems methodology.

Support Vector Machines

Author : Naiyang Deng
ISBN : 9781439857939
Genre : Business & Economics
File Size : 41. 94 MB
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Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions presents an accessible treatment of the two main components of support vector machines (SVMs)—classification problems and regression problems. The book emphasizes the close connection between optimization theory and SVMs since optimization is one of the pillars on which SVMs are built. The authors share insight on many of their research achievements. They give a precise interpretation of statistical leaning theory for C-support vector classification. They also discuss regularized twin SVMs for binary classification problems, SVMs for solving multi-classification problems based on ordinal regression, SVMs for semi-supervised problems, and SVMs for problems with perturbations. To improve readability, concepts, methods, and results are introduced graphically and with clear explanations. For important concepts and algorithms, such as the Crammer-Singer SVM for multi-class classification problems, the text provides geometric interpretations that are not depicted in current literature. Enabling a sound understanding of SVMs, this book gives beginners as well as more experienced researchers and engineers the tools to solve real-world problems using SVMs.

Social Big Data Mining

Author : Hiroshi Ishikawa
ISBN : 9781498710947
Genre : Computers
File Size : 66. 33 MB
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This book focuses on the basic concepts and the related technologies of data mining for social medial. Topics include: big data and social data, data mining for making a hypothesis, multivariate analysis for verifying the hypothesis, web mining and media mining, natural language processing, social big data applications, and scalability. It explains analytical techniques such as modeling, data mining, and multivariate analysis for social big data. This book is different from other similar books in that presents the overall picture of social big data from fundamental concepts to applications while standing on academic bases.

Constrained Clustering

Author : Sugato Basu
ISBN : 1584889977
Genre : Computers
File Size : 24. 91 MB
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Since the initial work on constrained clustering, there have been numerous advances in methods, applications, and our understanding of the theoretical properties of constraints and constrained clustering algorithms. Bringing these developments together, Constrained Clustering: Advances in Algorithms, Theory, and Applications presents an extensive collection of the latest innovations in clustering data analysis methods that use background knowledge encoded as constraints. Algorithms The first five chapters of this volume investigate advances in the use of instance-level, pairwise constraints for partitional and hierarchical clustering. The book then explores other types of constraints for clustering, including cluster size balancing, minimum cluster size,and cluster-level relational constraints. Theory It also describes variations of the traditional clustering under constraints problem as well as approximation algorithms with helpful performance guarantees. Applications The book ends by applying clustering with constraints to relational data, privacy-preserving data publishing, and video surveillance data. It discusses an interactive visual clustering approach, a distance metric learning approach, existential constraints, and automatically generated constraints. With contributions from industrial researchers and leading academic experts who pioneered the field, this volume delivers thorough coverage of the capabilities and limitations of constrained clustering methods as well as introduces new types of constraints and clustering algorithms.

Pattern Recognition Algorithms For Data Mining

Author : Sankar K. Pal
ISBN : 9781135436407
Genre : Computers
File Size : 57. 50 MB
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Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both theoretical and experimental results. Tasks covered include data condensation, feature selection, case generation, clustering/classification, and rule generation and evaluation. This volume presents various theories, methodologies, and algorithms, using both classical approaches and hybrid paradigms. The authors emphasize large datasets with overlapping, intractable, or nonlinear boundary classes, and datasets that demonstrate granular computing in soft frameworks. Organized into eight chapters, the book begins with an introduction to PR, data mining, and knowledge discovery concepts. The authors analyze the tasks of multi-scale data condensation and dimensionality reduction, then explore the problem of learning with support vector machine (SVM). They conclude by highlighting the significance of granular computing for different mining tasks in a soft paradigm.

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