This book provides a guide to such budding social researchers, who are non-native English speakers drawing examples from literature to show how to conduct a research, present research results, integrate with existing literature to draw conclusions through real-world examples. Existing English books teaching research methods and philosophy of academic research are written in 'academic English' and, it is hard for non-native English-speaking budding researchers to study and understand those books. Also, this book uses examples to show how to communicate with journal editors and peer reviewers to get published the research results as journal articles, book chapters or conference papers. This book connects different quantitative techniques, qualitative methodologies (case studies, phenomenology and ethnography and Grounded theory) as well as Mixed methods methodology through a single example. This book attempts to describe a holistic approach introducing a 10Ps model that incorporates the essential elements of the research process. The process focuses on combining philosophical framework and arguments from research results. This book focuses not only on conducting a research project, but also on the approach and procedures to be followed to achieve higher marks for course work assignments and publishing research articles in international journals. This book shows how to create many papers from one research/data set to increase number of publications and citations. This book has fewer words and more illustrations, tables, figures, pictures and YouTube tutorial links. This book outlines how to present test results in APA style for all the statistical test used in this book, using examples.

Artificial Intelligence for Capital Market throws light on application of AI/ML techniques in the financial capital markets. This book discusses the challenges posed by the AI/ML techniques as these are prone to "black box" syndrome. The complexity of understanding the underlying dynamics for results generated by these methods is one of the major concerns which is highlighted in this book: Features: Showcases artificial intelligence in finance service industry Explains Credit and Risk Analysis Elaborates on cryptocurrencies and blockchain technology Focuses on optimal choice of asset pricing model Introduces Testing of market efficiency and Forecasting in Indian Stock Market This book serves as a reference book for Academicians, Industry Professional, Traders, Finance Mangers and Stock Brokers. It may also be used as textbook for graduate level courses in financial services and financial Analytics.

Nontraditional Database Systems is the fifth volume in the Advanced Information Processing Technology series. It brings together the results of research carried out by the Japanese database research community in the field of nontraditional database systems.

The book examines nontraditional types of applications, data types, systems and environments together with high-performance architecture to support nontraditional applications, such as web mining, data engineering and object processing.

eBook available with sample pages: 0203301943

The advent of the World Wide Web has changed the perspectives of groupware systems. The interest and deployment of Internet and intranet groupware solutions is growing rapidly, not just in academic circles but also in the commercial arena. The first generation of Web-based groupware tools has already started to emerge, and leading groupware vendors are urgently adapting their products for compatibility and integration with Web technologies. The focus of Groupware and the World Wide Web is to explore the potential for Web-based groupware. This book includes an analysis of the key characteristics of the Web, presenting reasons for its success, and describes developments of a diverse range of Web-based groupware systems. An emphasis on the technical obstacles and challenges is implemented by more analytical discussions and perspectives, including that of Information Technology managers looking to deploy groupware solutions within their organizations. Written by experts from different backgrounds - academic and commercial, technical and organizational - this book provides a unique overview of and insight into current issues and future possibilities concerning extension of the World Wide Web for group working.

This book gathers recent research work on emerging Artificial Intelligence (AI) methods for processing and storing data generated by cloud-based Internet of Things (IoT) infrastructures. Major topics covered include the analysis and development of AI-powered mechanisms in future IoT applications and architectures. Further, the book addresses new technological developments, current research trends, and industry needs. Presenting case studies, experience and evaluation reports, and best practices in utilizing AI applications in IoT networks, it strikes a good balance between theoretical and practical issues. It also provides technical/scientific information on various aspects of AI technologies, ranging from basic concepts to research grade material, including future directions. The book is intended for researchers, practitioners, engineers and scientists involved in the design and development of protocols and AI applications for IoT-related devices. As the book covers a wide range of mobile applications and scenarios where IoT technologies can be applied, it also offers an essential introduction to the field.

This book provides modern technical answers to the legal requirements of pseudonymisation as recommended by privacy legislation. It covers topics such as modern regulatory frameworks for sharing and linking sensitive information, concepts and algorithms for privacy-preserving record linkage and their computational aspects, practical considerations such as dealing with dirty and missing data, as well as privacy, risk, and performance assessment measures. Existing techniques for privacy-preserving record linkage are evaluated empirically and real-world application examples that scale to population sizes are described. The book also includes pointers to freely available software tools, benchmark data sets, and tools to generate synthetic data that can be used to test and evaluate linkage techniques. This book consists of fourteen chapters grouped into four parts, and two appendices. The first part introduces the reader to the topic of linking sensitive data, the second part covers methods and techniques to link such data, the third part discusses aspects of practical importance, and the fourth part provides an outlook of future challenges and open research problems relevant to linking sensitive databases. The appendices provide pointers and describe freely available, open-source software systems that allow the linkage of sensitive data, and provide further details about the evaluations presented. A companion Web site at https://dmm.anu.edu.au/lsdbook2020 provides additional material and Python programs used in the book. This book is mainly written for applied scientists, researchers, and advanced practitioners in governments, industry, and universities who are concerned with developing, implementing, and deploying systems and tools to share sensitive information in administrative, commercial, or medical databases. The Book describes how linkage methods work and how to evaluate their performance. It covers all the major concepts and methods and also discusses practical matters such as computational efficiency, which are critical if the methods are to be used in practice - and it does all this in a highly accessible way!David J. Hand, Imperial College, London

This book deals with Invitations to Tender (ITTs) for the provision of Facility Management (FM) services. It presents a framework to support companies in preparing clear, comprehensive and effective ITTs, focusing on such key aspects as: organizational structures, tools and procedures for managing information, allocation of information responsibilities, procedures for services monitoring and control, quality policies, and risk management. It discusses and analyzes a range of basic terms and concepts, procedures, and international standards concerning the Tendering Process, as well as the contents of ITTs, which should represent the translation of information needs into requirements related to: the client's goals, main categories of information to deal with, expected organization of information, modalities of reporting and control, and level of knowledge to be reached. A further major focus is on potential key innovation scenarios concerning current FM practice, such as Sustainable Procurement, Building Information Modeling (BIM), Big Data and Internet of Things (IoT) technologies, highlighting both the possible benefits and the possible risks and implications that could negatively affect the quality of FM service provision if not properly treated within the ITT. The book will be of interest to real estate owners, demand organizations and facility managers, enhancing their ability to prepare, interpret and/or critically analyze ITTs.

The use of information and communication technologies to support public administrations, governments and decision makers has been recorded for more than 20 years and dubbed e-Government. Moving towards open governance roadmaps worldwide, electronic participation and citizen engagement stand out as a new domain, important both for decision makers and citizens; and over the last decade, there have been a variety of related pilot projects and innovative approaches.

With contributions from leading researchers, Charalabidis and Koussouris provide the latest research findings such as theoretical foundations, principles, methodologies, architectures, technical frameworks, cases and lessons learnt within the domain of open, collaborative governance and online citizen engagement. The book is divided into three sections: Section one, "Public Policy Debate Foundations," lays the foundations regarding processes and methods for scoping, planning, evaluating and transforming citizen engagement. The second section, "Information and Communication Technologies for Citizen Participation," details practical approaches to designing and creating collaborative governance infrastructures and citizen participation for businesses and administrations. Lastly, the third section on "Future Research Directions of Open, Collaborative ICT-enabled Governance" provides a constructive critique of the developments in the past and presents prospects regarding future challenges and research directions.

The book is mainly written for academic researchers and graduate students working in the computer, social, political and management sciences. Its audience includes researchers and practitioners in e-Governance, public administration officials, policy and decision makers at the local, national and international level engaged in the design and creation of policies and services, and ICT professionals engaged in e-Governance and policy modelling projects and solutions.

This book gathers papers addressing state-of-the-art research in the areas of machine learning and predictive analysis, presented virtually at the Fourth International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2020), India. It covers topics such as intelligent agent and multi-agent systems in various domains, machine learning, intelligent information retrieval and business intelligence, intelligent information system development using design science principles, intelligent web mining and knowledge discovery systems.

The key competing texts are practitioner-focused 'how to' guides, whilst our book combines rigorous theory with practical insight and examples, with authors from both the academic and business world, making it more adoptable as a student text; Unlike other books on the subject, this has a customer focus and an exploration of how big data can add value to customers as well as organisations; Enables readers to move from "big data" to "big solutions" by demonstrating how to integrate data analytics into specific goals and processes for implementation; Highly successful and well regarded both for students and practitioners

This book focuses on the contribution of Information Technology (IT) and Information Technology Enabled Services (ITES) in shaping the current and future global economic scenario, with a special focus on Asia, and taking into account the three broad macroeconomic dimensions - growth, sustainability and governance mechanisms. The last two decades have witnessed a structural shift in the world economy due to the tremendous growth in gross domestic product share for the service sector; in fact, service has emerged as the dominant sector and the main driver of GDP growth. This is mainly attributable to the spectacular success of the IT sector in the new knowledge economy. Tradability, technology and transportability - the three T's - govern productivity growth in today's services. Growing Asian economies such as India, China and Vietnam, using their demographic advantages, have been reaping the benefits of this boom. The book's content focuses on recent debates and discussions concerning the issue of long-term sustainability and governance, especially in India, as these companies are facing continuous challenges in terms of international competition, salary inflation, health hazards, scarcity of talent, employee attrition, security concerns, global slowdown and many other technology-related issues. The book further highlights how the increased application of IT-based products and services is resulting in harsh inequalities concerning income distribution in many developing countries of Asia, mainly because of its labor shedding nature, and hence might be detrimental to sustainable development, if suitable policy measures are not implemented to counter these effects. The book provides a wealth of information for researchers, graduate students and political scientists alike, as well as thought-provoking insights for social scientists, policymakers and government officials. It also offers a valuable source of data for business and management professionals, and for members of Chambers of Commerce and Industry.

How do preprocessing steps such as tokenization, stemming, and removing stop words affect predictive models? Build beginning-to-end workflows for predictive modeling using text as features Compare traditional machine learning methods and deep learning methods for text data

This book contains the first and second volume papers from the 8th International Conference on the History of Records and Archives (I-CHORA 8). Contributors present articles that propose new solutions and aspirations for a new era in the technology of archives and recordkeeping. Topics cover rethinking the role played by archivists, and reframing recordkeeping practices that focus on the rights of the subjects of the records. This text appeals to students, researchers and professionals in the field. Previously published in: Archival Science: "Special Issue: Archives in a Changing Climate - Part I" and "Archives in a Changing Climate - Part II" Chapter "Displaced archives": proposing a research agenda is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Constraint databases provide extra expressive power over relational databases in a largely hidden way at the data-storage or physical level. Constraints, such as linear or polynomial equations, are used to represent large sets in a compact manner. They keep the view of the database for a user or application programmer almost as simple as in relational databases. "Introduction to Constraint Databases" comprehensively covers both constraint-database theory and several sample systems. The book reveals how constraint databases bring together techniques from a variety of fields, such as logic and model theory, algebraic and computational geometry, and symbolic computation, to the design and analysis of data models and query languages. Constraint databases are shown to be powerful and simple tools for data modeling and querying in application areas¿such as environmental modeling, bioinformatics, and computer vision--that are not suitable for relational databases. Specific applications are examined in geographic information systems, spatiotemporal data management, linear programming, genome databases, model checking of automata, and other areas. Topics and features: *Offers a database perspective and a focus on simplicity at the user level *Utilizes simple tools for determining whether queries are safe or not *Incorporates scientist-supplied descriptions of applications *Explains constraint databases from a developer's viewpoint *Provides extensive exercise sets, and sample software systems, that facilitate rapid learning of the topic within a real-world software context This volume presents a comprehensive introduction to the theory and applications of constraint database systems, which provide new methods for the design of data models and query languages. It is an essential resource for advanced students, practitioners, and professionals in computer science, database systems, and information systems.

This volume deals with the very novel issue of cyber laundering. The book investigates the problem of cyber laundering legally and sets out why it is of a grave legal concern locally and internationally. The book looks at the current state of laws and how they do not fully come to grips with the problem. As a growing practice in these modern times, and manifesting through technological innovations, cyber laundering is the birth child of money laundering and cybercrime. It concerns how the internet is used for 'washing' illicit proceeds of crime. In addition to exploring the meaning and ambits of the problem with concrete real-life examples, more importantly, a substantial part of the work innovates ways in which the dilemma can be curbed legally.

This volume delves into a very grey area of law, daring a yet unthreaded territory and scouring undiscovered paths where money laundering, cybercrime, information technology and international law converge. In addition to unearthing such complexity, the hallmark of this book is in the innovative solutions and dynamic remedies it postulates.

Web mining is moving the World Wide Web toward a more useful environment in which users can quickly and easily find the information they need. Web mining uses document content, hyperlink structure, and usage statistics to assist users in meeting their needed information. This book provides a record of current research and practical applications in Web searching. It includes techniques that will improve the utilization of the Web by the design of Websites, as well as the design and application of search agents. This book presents this research and related applications in a manner that encourages additional work toward improving the reduction of information overflow, which is so common today in Web search results.

This book intends to change the perception of modern day telecommunications. Communication systems, usually perceived as "dumb pipes", carrying information / data from one point to another, are evolved into intelligently communicating smart systems. The book introduces a new field of cloud communications. The concept, theory, and architecture of this new field of cloud communications are discussed. The book lays down nine design postulates that form the basis of the development of a first of its kind cloud communication paradigm entitled Green Symbiotic Cloud Communications or GSCC. The proposed design postulates are formulated in a generic way to form the backbone for development of systems and technologies of the future. The book can be used to develop courses that serve as an essential part of graduate curriculum in computer science and electrical engineering. Such courses can be independent or part of high-level research courses. The book will also be of interest to a wide range of readers including both scientific and non-scientific domains as it discusses innovations from a simplistic explanatory viewpoint.

Grid computing promises to transform the way organizations and individuals compute, communicate, and collaborate. Computational and Data Grids: Principles, Applications and Design offers critical perspectives on theoretical frameworks, methodologies, implementations, and cutting edge research in grid computing, bridging the gap between academia and the latest achievements of the computer industry. Useful for professionals and students involved or interested in the study, use, design, and development of grid computing, this book highlights both the basics of the field and in depth analyses of grid networks.

Digital Image Processing with C++ presents the theory of digital image processing, and implementations of algorithms using a dedicated library. Processing a digital image means transforming its content (denoising, stylizing, etc.), or extracting information to solve a given problem (object recognition, measurement, motion estimation, etc.). This book presents the mathematical theories underlying digital image processing, as well as their practical implementation through examples of algorithms implemented in the C++ language, using the free and easy-to-use CImg library. Chapters cover in a broad way the field of digital image processing and proposes practical and functional implementations of each method theoretically described. The main topics covered include filtering in spatial and frequency domains, mathematical morphology, feature extraction and applications to segmentation, motion estimation, multispectral image processing and 3D visualization. Students or developers wishing to discover or specialize in this discipline, teachers and researchers wishing to quickly prototype new algorithms, or develop courses, will all find in this book material to discover image processing or deepen their knowledge in this field.

Climate and Environmental Database Systems contains the papers presented at the Second International Workshop on Climate and Environmental Database Systems, held November 21-23, 1995, in Hamburg, Germany. Climate and environmental data may be separated into two classes, large amounts of well structured data and smaller amounts of less structured data. The large amounts are produced by numerical climate models and by satellites, handling data in the order of magnitude of 100 Tbytes for the climate modelling sites and 1000 Tbytes for the recording and processing of satellite data. Smaller amounts of poorly structured data are the environmental data, which come mainly from observations and measurements. Present-day problems in data management are connected with a variety of data types. Climate and Environmental Database Systems addresses the state of the art, practical experience, and future perspectives for climate and environmental database systems, and may be used as a text for a graduate level course on the subject or as a reference for researchers or practitioners in industry.

Topics covered include: The fundamentals of business process modeling, including workflow patterns, an in-depth treatment of process flexibility, including approaches to dealing with on-the-fly changes, unexpected exceptions, and constraint-based processes, Technological aspects of a modern BPM environment, including its architecture, process design environment, process engine, resource handler and other support services, a comparative insight into current approaches to business process modeling and execution such as BPMN, EPCs, BPEL, jBPM, OpenWFE, and Enhydra Shark, process mining, verification, integration and configuration; and case studies in health care and screen business.

This book provides a comprehensive treatment of the field of Business Process Management (BPM) with a focus on Business Process Automation. It achieves this by covering a wide range of topics, both introductory and advanced, illustrated through and grounded in the YAWL (Yet Another Workflow Language) language and corresponding open-source support environment. In doing so it provides the reader with a deep, timeless, and vendor-independent understanding of the essential ingredients of business process automation.

The BPM field is in a continual state of flux and is subject to both the ongoing proposal of new standards and the introduction of new tools and technology. Its fundamentals however are relatively stable and this book aims to equip the reader with both a thorough understanding of them and the ability to apply them to better understand, assess and utilize new developments in the BPM field.

As a consequence of its topic-based format and the inclusion of a broad range of exercises, the book is eminently suitable for use in tertiary education, both at the undergraduate and the postgraduate level, for students of computer science and information systems. BPM researchers and practitioners will also find it a valuable resource. The book serves as a unique reference to a varied and comprehensive collection of topics that are relevant to the business process life-cycle.

This book constitutes the refereed proceedings of the 22nd International TRIZ Future Conference on Automated Invention for Smart Industries, TFC 2022, which took place in Warsaw, Poland, in September 2022; the event was sponsored by IFIP WG 5.4.The 39 full papers presented were carefully reviewed and selected from 43 submissions. They are organized in the following thematic sections: New perspectives of TRIZ; AI in systematic innovation; systematic innovations supporting IT and AI; TRIZ applications; TRIZ education and ecosystem.

Written by leading industry experts, the Data Management Handbook is a comprehensive, single-volume guide to the most innovative ideas on ho w to plan, develop, and run a powerful data management function - as w ell as handle day-to-day operations. The book provides practical, hand s-on guidance on the strategic, tactical, and technical aspects of dat a management, offering an inside look at how leading companies in vari ous industries meet the challenges of moving to a data-sharing environ ment.

This book aims to help the reader better understand the importance of data analysis in project management. Moreover, it provides guidance by showing tools, methods, techniques and lessons learned on how to better utilize the data gathered from the projects. First and foremost, insight into the bridge between data analytics and project management aids practitioners looking for ways to maximize the practical value of data procured. The book equips organizations with the know-how necessary to adapt to a changing workplace dynamic through key lessons learned from past ventures. The book's integrated approach to investigating both fields enhances the value of research findings.

The development of a methodology for using logic databases is essential if new users are to be able to use these systems effectively to solve their problems, and this remains a largely unrealized goal. A workshop was organized in conjunction with the ILPS '93 Conference in Vancouver in October 1993 to provide a forum for users and implementors of deductive systems to share their experience. The emphasis was on the use of deductive systems. In addition to paper presentations, a number of systems were demonstrated. The papers of this book were drawn largely from the papers presented at the workshop, which have been extended and revised for inclusion here, and also include some papers describing interesting applications that were not discussed at the workshop. The applications described here should be seen as a starting point: a number of promising application domains are identified, and several interesting application packages are described, which provide the inspiration for further development. Declarative rule-based database systems hold a lot of promise in a wide range of application domains, and we need a continued stream of application development to better understand this potential and how to use it effectively. This book contains the broadest collection to date of papers describing implemented, significant applications of logic databases, and database systems as well as potential database users in such areas as scientific data management and complex decision support.