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Supervised and Unsupervised Learning for Data Science (Unsupervised and Semi-Supervised Learning)
by Michael W. Berry Bee Wah Yap Azlinah MohamedThis book covers the state of the art in learning algorithms with an inclusion of semi-supervised methods to provide a broad scope of clustering and classification solutions for big data applications. Case studies and best practices are included along with theoretical models of learning for a comprehensive reference to the field. The book is organized into eight chapters that cover the following topics: discretization, feature extraction and selection, classification, clustering, topic modeling, graph analysis and applications. Practitioners and graduate students can use the volume as an important reference for their current and future research and faculty will find the volume useful for assignments in presenting current approaches to unsupervised and semi-supervised learning in graduate-level seminar courses. The book is based on selected, expanded papers from the Fourth International Conference on Soft Computing in Data Science (2018).Includes new advances in clustering and classification using semi-supervised and unsupervised learning;Address new challenges arising in feature extraction and selection using semi-supervised and unsupervised learning;Features applications from healthcare, engineering, and text/social media mining that exploit techniques from semi-supervised and unsupervised learning.
Superwrite: Alphabetic Writing System, Office Professional (Volume 1, 2nd Edition)
by A. James Lemaster John BaerVolume One introduces SuperWrite theory and beginning transcription principles. The step-by-step approach to writing principles guides students to alphabetic writing success. Eight lessons develop personal success factors such as goal-setting, problem-solving, time management, attendance, and promptness. Updated keyboarding style references reflect current business practices.
Supplement to Inside the Microsoft® Build Engine: Using MSBuild and Team Foundation Build
by William Bartholomew Sayed Ibrahim HashimiGet the supplement that helps you drill even further into MSBuild--and maximize your control over the software build and deployment process. Designed as a companion to the popular book Inside the Microsoft Build Engine: Using MSBuild and Team Foundation Build, Second Edition, this supplement extends your knowledge by covering what's new in Visual Studio 2012 for MSBuild and Team Foundation Build. You'll also gain a fresh cookbook of examples to help you get productive with UI changes, batching, Team Foundation Server, offline apps, database publishing, and other essential topics. Extends your knowledge of MSBuild with all-new coverage of Visual Studio 2012 Shares additional hands-on insights and guidance from two expert authors Provides a cookbook of examples to study and reuse
Supplier Selection
by Krishnendu MukherjeeThe purpose of this book is to present a comprehensive review of the latest research and development trends at the international level for modeling and optimization of the supplier selection process for different industrial sectors. It is targeted to serve two audiences: the MBA and PhD student interested in procurement, and the practitioner who wishes to gain a deeper understanding of procurement analysis with multi-criteria based decision tools to avoid upstream risks to get better supply chain visibility. The book is expected to serve as a ready reference for supplier selection criteria and various multi-criteria based supplier's evaluation methods for forward, reverse and mass customized supply chain. This book encompasses several criteria, methods for supplier selection in a systematic way based on extensive literature review from 1998 to 2012. It provides several case studies and some useful links which can serve as a starting point for interested researchers. In the appendix several computer code written in MatLab and VB. NET is also included for the interested reader. Lucid explosion of various techniques used to select and evaluate suppliers is one of the unique characteristic of this book. Moreover, this book gives in depth analysis of selection and evaluation of suppliers for traditional supply chain, closed loop supply chain, supply chain for customized product, green supply chain, sustainable supply chain and also depicts methods for supply base reduction and selection of large number of suppliers.
Supply Chain Analytics: An Uncertainty Modeling Approach (Springer Texts in Business and Economics)
by Işık BiçerThis textbook offers a detailed account of analytical models used to solve complex supply chain problems. It introduces a unique risk analysis framework that helps the reader understand the sources of uncertainties and use appropriate models to improve decisions in supply chains. This framework illustrates the complete supply chain for a product and demonstrates the supply chain's exposure to demand, supply, inventory, and financial risks. Step by step, this book provides a detailed examination of analytical methods that optimize operational decisions under different types of uncertainty. It discusses stochastic inventory models, introduces uncertainty modeling methods, and explains methods for managing uncertainty. To help readers deepen their understanding, it includes access to various supplementary material including an online interactive tool in Python. This book is intended for undergraduate and graduate students of supply chain management with a focus on supply chain analytics. It also prepares practitioners to make better decisions in this field.
Supply Chain Analytics: Concepts, Techniques and Applications
by Kurt Y. LiuThis innovative new core textbook, written by an experienced professor and practitioner in supply chain management, offers a business-focused overview of the applications of data analytics and machine learning to supply chain management. Accessible yet rigorous, this text introduces students to the relevant concepts and techniques needed for data analysis and decision making in modern supply chains and enables them to develop proficiency in a popular and powerful programming software. Suitable for use on upper-level undergraduate, postgraduate and MBA courses in supply chain management, it covers all of the major supply chain processes, including managing supply and demand, warehousing and inventory control, transportation and route optimization. Each chapter comes with practical real-world examples drawn from a range of business contexts, including Amazon and Starbucks, case study discussion questions, computer-assisted exercises and programming projects.
Supply Chain Analytics: Using Data to Optimise Supply Chain Processes (Mastering Business Analytics)
by Peter W. RobertsonSupply Chain Analytics, second edition, introduces the reader to data analytics and demonstrates the value of its effective use in the improvement of supply chain (SC) process performance. By describing four key SC processes and illustrating – through worked examples – how the descriptive, predictive, and prescriptive analytic methods can be applied to enhance those processes, this book presents a more comprehensive learning experience for the reader than has been offered previously.Key topics and issues are addressed, including the capriciousness of modern SC operating environments; the imperative of SC sustainability; the need for heightened SC risk management; the building of SC resilience; the pursuit of SC optimisation; and the use of big data, data mining, cloud computing, machine learning, artificial intelligence (AI), and importantly the social issues confronting SC analysts in carrying out their work.The author identifies four core SC processes – strategy, design, execution, and people – to which the analytic techniques explained can be applied to ensure continuous performance improvement and the growth of competitive advantage.Pedagogy to aid learning is incorporated throughout, including an opening section for each chapter explaining the intended learning outcomes; worked examples illustrating how each analytic technique works, how it is applied, and what to be careful of; tables, diagrams, and equations to help ‘visualise’ the concepts and methods covered; end-of-chapter case studies; review questions; and assignment tasks.Providing both management expertise and technical skills, which are essential to decision-makers in the SC, this textbook is an essential reading for advanced undergraduate and postgraduate students of SC analytics, SC leaders, and SC operations management professionals. Its practice-based and applied approach also makes it valuable for teaching academics, organisational trainers and coaches, operating SC practitioners, and those pursuing professional qualifications.Online resources include chapter-by-chapter PowerPoint slides, tutorial exercises, written assignments, worked examples using Excel, and a test bank of exam questions.
Supply Chain Architecture: A Blueprint for Networking the Flow of Material, Information, and Cash (Resource Management)
by William T. Walker"The book is highly readable, informative, thought provoking, and educational.At every stage, Walker challenges the reader to move away from conventional supply chain thinking to a broader-view, highly concise approach that focuses on the organization's objectives. The book will help you visualize a supply network and develop a blueprint for your
Supply Chain Coordination under Uncertainty
by T.C. Edwin Cheng Tsan-Ming ChoiChannel coordination is a core subject of supply chain management. Over the past decade, much research effort has been devoted to exploring the detailed mechanisms for achieving supply chain coordination under uncertainty, generating many fruitful analytical and empirical results. Despite the abundance of research results, there is an absence of a comprehensive reference source that provides state-of-the-art findings on both theoretical and applied research on the subject. In addition, with the advance of knowledge and technologies, many new topics on supply chain coordination under uncertainty have appeared in recent years. This handbook extensively examines supply chain coordination challenges with a focal point on discovering innovative measures that can help tackle the existing and emerging challenges. The book is organized into five parts, which include chapters on innovative analytical models for coordination, channel power and bargaining, technological advancements and applications, empirical analysis, cases studies and review. This handbook provides new empirical and analytical results with precious insights, which will not only help supply chain agents to understand more about the latest measures for supply chain coordination under uncertainty, but also help practitioners and researchers to know how to improve supply chain performance based on innovative methods.
Supply Chain Disruption: Aligning Business Strategy and Supply Chain Tactics
by Steve O'SullivanDisruptive technologies have the power to upend supply chains, adding uncertainty, cost, and complexity to any business. These technologies can also create competitive advantage, but only if organizations strategically build them into their supply chains. Supply Chain Disruption, with a foreword by John Gattorna, provides the vital knowledge that supply chain managers need in order to implement disruptive technologies strategically. This essential book avoids a one-size-fits-all approach and encourages the reader to consider customer needs first before aligning appropriate technologies with each supply chain application.Supply Chain Disruption focuses on information systems, analysing how companies currently integrate and implement potentially disruptive technologies into their supply chain roadmaps. It presents new ways of planning more effectively and efficiently through the use of new tools and techniques, creating improvements in agility, customer service and cost. Online supporting resources include templates for metric-based process models focusing on the key enablers and inhibitors.
Supply Chain Management Under Fuzziness
by Cengiz Kahraman Başar ÖztayşiSupply Chain Management Under Fuzziness presents recently developed fuzzy models and techniques for supply chain management. These include: fuzzy PROMETHEE, fuzzy AHP, fuzzy ANP, fuzzy VIKOR, fuzzy DEMATEL, fuzzy clustering, fuzzy linear programming, and fuzzy inference systems. The book covers both practical applications and new developments concerning these methods. This book offers an excellent resource for researchers and practitioners in supply chain management and logistics, and will provide them with new suggestions and directions for future research. Moreover, it will support graduate students in their university courses, such as specialized courses on supply chains and logistics, as well as related courses in the fields of industrial engineering, engineering management and business administration.
Supply Chain Management and its Applications in Computer Science
by Saoussen Krichen Sihem Ben JouidaSupply chain management is a key topic for a large variety of strategic decision problems. It is essential in making efficient decisions related to the management of inventory and the delivery of final products to customers. The focus of this book is the understanding of the supply chain taxonomy, the different levels of decision and the impact of one level on another depending on the modeling of the addressed objectives. The authors explore the potential problems that can be addressed within the supply chain, such as the inventory, the transportation and issues of holding, and find applications in numerous fields of study, from cloud computing and networking through to industrial sciences. The reader can find each issue described and its positioning in the supply chain determined. A computer science framework is also developed to show how the use of electronic platforms can aid in the handling of these potential problems.
Supply Chain Management in Manufacturing and Service Systems: Advanced Analytics for Smarter Decisions (International Series in Operations Research & Management Science #304)
by Hans Ziegler Sharan Srinivas Suchithra RajendranManagement of supply chains has been evolving rapidly over the last few years due to the inception of Industry 4.0, where businesses adopt automation technologies and data exchanges leading to dynamic and interconnected supply chain systems. Emphasizing on analytical approaches such as predictive and prescriptive modeling, this book presents state-of-the-art original research work dealing with advanced analytical models for the design, planning, and operation of the supply chain to provide faster and smarter decisions in the era of digitization. In particular, the book integrates machine learning and operations research models for faster and smarter decisions, presents prescriptive analytics models for strategic, tactical, and operational decision making in the supply chain, and addresses recent challenges such as sustainability in the supply chain, supply chain visibility, and supply chain digitalization. Key concepts are illustrated using real-life case studies, making the book a valuable reference for researchers, technical professionals, and students.
Supply Chain Management: Strategy and Organization
by Mikihisa NakanoThis book explains supply chain management (SCM) using the strategy–structure–process–performance (SSPP) framework. Utilizing this well-known framework of contingency theory in the areas of strategic management and organizational design, SCM is firmly positioned among management theories. The author specifically proposes a theoretical foundation of SCM that will be relevant to such areas as operations management, logistics management, purchasing management, and marketing. Both the static and dynamic sides of SCM are reported. On the static side, supply chain strategies are divided into three patterns: efficiency-oriented, responsiveness-oriented, and the hybrid efficiency- and responsiveness-oriented pattern. For each strategy, suitable internal and external supply chain structures and processes are proposed. On the dynamic side, the big issue is to overcome performance trade-offs. Based on theories of organizational change, process change, and dynamic capabilities, the book presents a model of supply chain process change. On structure, the focus is on the role of an SCM steering department. Illustrative cases are included from such diverse industries as automobiles (Toyota and Nissan ), personal computers (Fujitsu), office equipment (Ricoh), air-conditioning (Daikin), tobacco (Japan Tobacco), chemicals and cosmetics (Kao), and casual fashion (Fast Retailing and Inditex).The strategy and organization of SCM is systematically presented on the basis of the SSPP framework. In particular, the relationships among three management elements—strategy, structure, and process—can be identified in an SCM context. From many of the cases contained in this volume, there emerges an understanding of how to analyze the success and failure factors of SCM using the SSPP framework. In addition, the reader sees not only the static side SCM such as process operation but also its dynamic side such as process innovation and process improvement.
Supply Chain Networks and Business Process Orientation: Advanced Strategies and Best Practices (Resource Management)
by William C. Johnson Kevin P. McCormackWith future competitive landscape shifting from competition between companies themselves to trading partner networks, understanding and mastering process design and change is becoming more critical than ever. In order to succeed, companies are starting to weave their key business processes into hard-to-imitate strategic capabilities that distinguis
Supply Chain Performance Evaluation: Application of Data Envelopment Analysis (Studies in Big Data #122)
by Tofigh Allahviranloo Farhad Hosseinzadeh Lotfi Morteza Shafiee Hilda SalehThe authors of this book tried to make these experiences available to those interested, considering the experience of several years of training, research, and implementation of projects in the supply chain performance evaluation field.This book intends to identify the current performance and competitive position of that supply chain compared to other supply chains by presenting and reviewing the techniques and models for measuring the efficiency and performance of the supply chain. Determining the performance of a supply chain is a good description of the status quo (what is). Determining the performance of a supply chain is useful for describing the past and present of supply chain processes, and on the other hand, it can be used to set performance goals and initiate the improvement process. To realize this, a strategic framework or model is needed to be able to extract indicators related to the efficiency of the supply chain and design the appropriate model.
Supply Chain Risk Management: Applying Secure Acquisition Principles to Ensure a Trusted Technology Product (Internal Audit and IT Audit)
by Dan Shoemaker Anne Kohnke Ken SiglerThe book presents the concepts of ICT supply chain risk management from the perspective of NIST IR 800-161. It covers how to create a verifiable audit-based control structure to ensure comprehensive security for acquired products. It explains how to establish systematic control over the supply chain and how to build auditable trust into the products and services acquired by the organization. It details a capability maturity development process that will install an increasingly competent process and an attendant set of activities and tasks within the technology acquisition process. It defines a complete and correct set of processes, activities, tasks and monitoring and reporting systems.
Supply Chain Simulation
by Francisco Campuzano Josefa MulaSupply Chain Simulation allows readers to practice modeling and simulating a multi-level supply chain. The chapters are a combination of the practical and the theoretical, covering: knowledge of simulation methods and techniques,the conceptual framework of a typical supply chain,the main concepts of system dynamics, anda set of practice problems with their corresponding solutions.The problem set includes illustrations and graphs relating to the simulation results of the Vensim® program, the main code of which is also provided. The examples used are a valuable simulation tool that can be modified and extended according to user requirements. The objective of Supply Chain Simulation is to meet the demands of supply chain simulation or similar courses taught at the postgraduate level. The "what if" analysis recreates different simulation scenarios to improve the decision-making process in terms of supply chain performance, making the book useful not only for postgraduate students, but also for industrial practitioners.
Supply Chain Software Security: AI, IoT, and Application Security
by Aamiruddin SyedDelve deep into the forefront of technological advancements shaping the future of supply chain safety and resilience. In an era where software supply chains are the backbone of global technology ecosystems, securing them against evolving threats has become mission critical. This book offers a comprehensive guide to understanding and implementing next-generation strategies that protect these intricate networks from most pressing risks. This book begins by laying the foundation of modern software supply chain security, exploring the shifting threat landscape and key technologies driving the future. Delve into the heart of how AI and IoT are transforming supply chain protection through advanced predictive analytics, real-time monitoring, and intelligent automation. Discover how integrating application security practices within your supply chain can safeguard critical systems and data. Through real-world case studies and practical insights, learn how to build resilient supply chains equipped to defend against sophisticated attacks like dependency confusion, backdoor injection, and adversarial manipulation. Whether you’re managing a global software operation or integrating DevSecOps into your CI/CD pipelines, this book offers actionable advice for fortifying your supply chain end-to-end. You Will: Learn the role of AI and machine learning in enhancing supply chain threat detection Find out the best practices for embedding application security within the supply chain lifecycle Understand how to leverage IoT for secure, real-time supply chain monitoring and control Who Is This Book For The target audience for a book would typically include professionals and individuals with an interest or involvement in cloud-native application development and DevOps practices. It will cover fundamentals of cloud-native architecture, DevOps principles, and provide practical guidance for building and maintaining scalable and reliable applications in a cloud-native environment. The book's content will cater to beginner to intermediate level professionals seeking in-depth insights.
Supply Chains: 5th Olympus International Conference, ICSC 2024, Katerini, Greece, May 24–26, 2024, Proceedings, Part I (Communications in Computer and Information Science #2110)
by Dimitrios Aidonis Charisios Achillas Ioannis Kostavelis Dimitrios FolinasThis two-volume set constitutes the refereed proceedings of the 5th Olympus International Conference, ICSC 2024, held in Katerini, Greece, during May 24–26, 2024. The 51 full papers in this volume were carefully reviewed and selected from a total of 92 submissions. The primary objective of 5th Olympus ICSC is to offer an international platform for the presentation and publication of the latest scientific research findings in the field of Supply Chain Management. This conference provides valuable opportunities for delegates to exchange innovative ideas, establish research and business connections, and foster global partnerships for potential collaborations. We sincerely anticipate that this conference will significantly contribute to the advancement of knowledge in relevant scientific and academic domains.
Supply Chains: 5th Olympus International Conference, ICSC 2024, Katerini, Greece, May 24–26, 2024, Proceedings, Part II (Communications in Computer and Information Science #2111)
by Dimitrios Aidonis Charisios Achillas Ioannis Kostavelis Dimitrios FolinasThis two-volume set constitutes the refereed proceedings of the 5th Olympus International Conference, ICSC 2024, held in Katerini, Greece, during May 24–26, 2024. The 51 full papers in this volume were carefully reviewed and selected from a total of 92 submissions. The primary objective of 5th Olympus ICSC is to offer an international platform for the presentation and publication of the latest scientific research findings in the field of Supply Chain Management. This conference provides valuable opportunities for delegates to exchange innovative ideas, establish research and business connections, and foster global partnerships for potential collaborations. We sincerely anticipate that this conference will significantly contribute to the advancement of knowledge in relevant scientific and academic domains.
Support Vector Machines and Perceptrons
by M. N. Murty Rashmi RaghavaThis work reviews the state of the art in SVM and perceptron classifiers. A Support Vector Machine (SVM) is easily the most popular tool for dealing with a variety of machine-learning tasks, including classification. SVMs are associated with maximizing the margin between two classes. The concerned optimization problem is a convex optimization guaranteeing a globally optimal solution. The weight vector associated with SVM is obtained by a linear combination of some of the boundary and noisy vectors. Further, when the data are not linearly separable, tuning the coefficient of the regularization term becomes crucial. Even though SVMs have popularized the kernel trick, in most of the practical applications that are high-dimensional, linear SVMs are popularly used. The text examines applications to social and information networks. The work also discusses another popular linear classifier, the perceptron, and compares its performance with that of the SVM in different application areas. >
Support Vector Machines and Their Application in Chemistry and Biotechnology
by Yizeng Liang Qing-Song Xu Hong-Dong Li Dong-Sheng CaoSupport vector machines (SVMs) are used in a range of applications, including drug design, food quality control, metabolic fingerprint analysis, and microarray data-based cancer classification. While most mathematicians are well-versed in the distinctive features and empirical performance of SVMs, many chemists and biologists are not as familiar wi
Support Vector Machines for Pattern Classification
by Shigeo AbeA guide on the use of SVMs in pattern classification, including a rigorous performance comparison of classifiers and regressors. The book presents architectures for multiclass classification and function approximation problems, as well as evaluation criteria for classifiers and regressors. Features: Clarifies the characteristics of two-class SVMs; Discusses kernel methods for improving the generalization ability of neural networks and fuzzy systems; Contains ample illustrations and examples; Includes performance evaluation using publicly available data sets; Examines Mahalanobis kernels, empirical feature space, and the effect of model selection by cross-validation; Covers sparse SVMs, learning using privileged information, semi-supervised learning, multiple classifier systems, and multiple kernel learning; Explores incremental training based batch training and active-set training methods, and decomposition techniques for linear programming SVMs; Discusses variable selection for support vector regressors.
Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
by Yingjie Tian Chunhua Zhang Naiyang DengSupport 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