Big Data and Information Theory are a binding force between various areas of knowledge that allow for societal advancement. Rapid development of data analytic and information theory allows companies to store vast amounts of information about production, inventory, service, and consumer activities. More powerful CPUs and cloud computing make it possible to do complex optimization instead of using heuristic algorithms, as well as instant rather than offline decision-making. The era of "big data" challenges includes analysis, capture, curation, search, sharing, storage, transfer, visualization, and privacy violations. Big data calls for better integration of optimization, statistics, and data mining. In response to these challenges this book brings together leading researchers and engineers to exchange and share their experiences and research results about big data and information theory applications in various areas. This book covers a broad range of topics including statistics, data mining, data warehouse implementation, engineering management in large-scale infrastructure systems, data-driven sustainable supply chain network, information technology service offshoring project issues, online rumors governance, preliminary cost estimation, and information system project selection. The chapters in this book were originally published in the journal, International Journal of Management Science and Engineering Management.

This book provides a comprehensive explanation of forward error correction, which is a vital part of communication systems. The book is written in such a way to make the subject easy and understandable for the reader. The book starts with a review of linear algebra to provide a basis for the text. The author then goes on to cover linear block codes, syndrome error correction, cyclic codes, Galois fields, BCH codes, Reed Solomon codes, and convolutional codes. Examples are provided throughout the text.

Psychological research into human cognition and judgment reveals a wide range of biases and shortcomings. Whether we form impressions of other people, recall episodes from memory, report our attitudes in an opinion poll, or make important decisions, we often get it wrong. The errors made are not trivial and often seem to violate common sense and basic logic. A closer look at the underlying processes, however, suggests that many of the well known fallacies do not necessarily reflect inherent shortcomings of human judgment. Rather, they partially reflect that research participants bring the tacit assumptions that govern the conduct of conversation in daily life to the research situation. According to these assumptions, communicated information comes with a guarantee of relevance and listeners are entitled to assume that the speaker tries to be informative, truthful, relevant, and clear. Moreover, listeners interpret the speakers' utterances on the assumption that they are trying to live up to these ideals. This book introduces social science researchers to the "logic of conversation" developed by Paul Grice, a philosopher of language, who proposed the cooperative principle and a set of maxims on which conversationalists implicitly rely. The author applies this framework to a wide range of topics, including research on person perception, decision making, and the emergence of context effects in attitude measurement and public opinion research. Experimental studies reveal that the biases generally seen in such research are, in part, a function of violations of Gricean conversational norms. The author discusses implications for the design of experiments and questionnaires and addresses the socially contextualized nature of human judgment.

We are often told that we are "living in an information society" or that we are "information workers." But what exactly do these claims mean, and how might they be verified? In this important methodological study, Alistair S. Duff cuts through the rhetoric to get to the bottom of the "information society thesis." Wide-ranging in coverage, this study will be of interest to scholars in information science, communication and media studies and social theory. It is a key text for the newly-unified specialism of information society studies, and an indispensable guide to the future of this discipline.

This work addresses the notion of compression ratios greater than what has been known for random sequential strings in binary and larger radix-based systems as applied to those traditionally found in Kolmogorov complexity. A culmination of the author's decade-long research that began with his discovery of a compressible random sequential string, the book maintains a theoretical-statistical level of introduction suitable for mathematical physicists. It discusses the application of ternary-, quaternary-, and quinary-based systems in statistical communication theory, computing, and physics.

Information services are economic and organizational activities for informing people. Because informing is changing rapidly under the influence of internet-technologies, this book presents in Chapter 1 fundamental notions of information and knowledge, based on philosopher C.W. Churchman's inquiring systems. This results in the identification of three product-oriented design theory aspects: content, use value and revenue. Chapter 2 describes how one can cope with these aspects by presenting process-oriented design theory. Both design theory insights are applied in chapters on information services challenges, their business concepts and processes, their architectures and exploitation. The final chapter discusses three case studies that integrate the insights from previous chapters, and it discusses some ideas for future research. This book gives students a coherent start to the topic of information services from a design science perspective, with a balance between technical and managerial aspects. Therefore, this book is useful for modern curricula of management, communication science and information systems. Because of its design science approach, it also explains design science principles. The book also serves professionals and academics in search of a foundational understanding of informing as a science and management practice.

This unique volume presents a new approach ??? the general theory of information ??? to scientific understanding of information phenomena. Based on a thorough analysis of information processes in nature, technology, and society, as well as on the main directions in information theory, this theory synthesizes existing directions into a unified system. The book explains how this theory opens new kinds of possibilities for information technology, information sciences, computer science, knowledge engineering, psychology, linguistics, social sciences, and education. The book also gives a broad introduction to the main mathematically-based directions in information theory. The general theory of information provides a unified context for existing directions in information studies, making it possible to elaborate on a comprehensive definition of information; explain relations between information, data, and knowledge; and demonstrate how different mathematical models of information and information processes are related. Explanation of information essence and functioning is given, as well as answers to the following questions: ??? how information is related to knowledge and data; ??? how information is modeled by mathematical structures; ??? how these models are used to better understand computers and the Internet, cognition and education, communication and computation.

This book is a useful text for advanced students of MIS and ICT courses, and for those studying ICT in related areas: Management and Organization Studies, Cultural Studies, and Technology and Innovation. As ICT's permeate every sphere of society-business, education, leisure, government, etc.-it is important to reflect the character and complexity of the interaction between people and computer, between society and technology. For example, the user may represent a much broader set of actors than 'the user' conventionally found in many texts: the operator, the customer, the citizen, the gendered individual, the entrepreneur, the 'poor', the student. Each actor uses ICT in different ways. This book examines these issues, deploying a number of methods such as Actor Network Theory, Socio-Technical Systems, and phenomenological approaches. Management concerns about strategy and productivity are covered together with issues of power, politics, and globalization. Topics range from long-standing themes in the study of IT in organizations such as implementation, strategy, and evaluation, to general analysis of IT as socio-economic change. A distinguished group of contributors, including Bruno Latour, Saskia Sassen, Robert Galliers, Frank Land, Ian Angel, and Richard Boland, offer the reader a rich set of perspectives and ideas on the relationship between ICT and society, organizational knowledge and innovation.

This book is a history of the future. It shows how our contemporary understanding of the Internet is shaped by visions of the future that were put together in the 1950s and 1960s. At the height of the Cold War, the Americans invented the only working model of communism in human history: the Internet. Yet, for all of its libertarian potential, the goal of this hi-tech project was geopolitical dominance: the ownership of time was control over the destiny of humanity. The potentially subversive theory of cybernetics was transformed into the military-friendly project of 'artificial intelligence'. Capitalist growth became the fastest route to the 'information society'. The rest of the world was expected to follow America's path into the networked future. Today, we're still being told that the Internet is creating the information society - and that America today is everywhere else tomorrow. Thankfully, at the beginning of the twenty-first century, the DIY ethic of the Internet shows that people can resist these authoritarian prophecies by shaping information technologies in their own interest. Ultimately, if we don't want the future to be what it used to be, we must invent our own, improved and truly revolutionary future.

Recounting the history of the study of organization conflict, the book presents alternative views to the traditional positivistic approach and the traditional assumption that conflict is destructive. The book also focus on the individual, showing how predisposition or skills impact on conflict in the organization, and vice versa.

This guide represents the first serious academic assessment of the relationships between peoples in Africa and of African descent and Afro mass media around the world. Experts on communications in sub-Saharan and North Africa and the Caribbean and African-American media in the United States characterize the settings and philosophical contexts for media in the countries that they survey; the development of often difficult relationships between government, society, and the media; the education and training of media personnel; and the implications of new technologies and future challenges. Designed for students, teachers, and professionals in communications and in the social sciences broadly.

This comparative study of Afro mass media, the impact of social and political systems, of culture and ideology, of different communications mechanisms, and of special problems is designed for students, teachers, and professionals in all areas of communications and mass media, and in government, sociology, economics, and African and African-American studies.

Deal with information and uncertainty properly and efficiently using tools emerging from generalized information theory
Uncertainty and Information: Foundations of Generalized Information Theory contains comprehensive and up-to-date coverage of results that have emerged from a research program begun by the author in the early 1990s under the name "generalized information theory" (GIT). This ongoing research program aims to develop a formal mathematical treatment of the interrelated concepts of uncertainty and information in all their varieties. In GIT, as in classical information theory, uncertainty (predictive, retrodictive, diagnostic, prescriptive, and the like) is viewed as a manifestation of information deficiency, while information is viewed as anything capable of reducing the uncertainty. A broad conceptual framework for GIT is obtained by expanding the formalized language of classical set theory to include more expressive formalized languages based on fuzzy sets of various types, and by expanding classical theory of additive measures to include more expressive non-additive measures of various types.
This landmark book examines each of several theories for dealing with particular types of uncertainty at the following four levels:
* Mathematical formalization of the conceived type of uncertainty
* Calculus for manipulating this particular type of uncertainty
* Justifiable ways of measuring the amount of uncertainty in any situation formalizable in the theory
* Methodological aspects of the theory
With extensive use of examples and illustrations to clarify complex material and demonstrate practical applications, generous historical and bibliographical notes, end-of-chapter exercises to test readers' newfound knowledge, glossaries, and an Instructor's Manual, this is an excellent graduate-level textbook, as well as an outstanding reference for researchers and practitioners who deal with the various problems involving uncertainty and information.An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

The book is a unique exploration of a spectrum of unexpected analogs to psychopathologies likely to afflict real-time critical systems, written by a specialist in the epidemiology of mental disorders. The purpose of this book is to develop a set of information-theoretic statistical tools for analyzing the instabilities of real-time cognitive systems at those varying scales and levels of organization, with special focus on high level machine function.The book should be of particular interest to both industry and academic scientists, and government regulators, concerned with driverless cars on intelligent roads. Many of the same concerns also afflict high-end automated weapons systems. The book should appeal to students, researchers, and industrial and governmental administrators facing the design, operation, and maintenance of real time critical systems ranging across manufacturing facilities, transportation, finance, and military operations.

From the reviews: "The 2nd (slightly enlarged) edition of the van Lint's book is a short, concise, mathematically rigorous introduction to the subject. Basic notions and ideas are clearly presented from the mathematician's point of view and illustrated on various special classes of codes...This nice book is a must for every mathematician wishing to introduce himself to the algebraic theory of coding." European Mathematical Society Newsletter, 1993 "Despite the existence of so many other books on coding theory, this present volume will continue to hold its place as one of the standard texts...." The Mathematical Gazette, 1993

We are surrounded by information. Even the most routine situations in which we find ourselves conceal a hidden information flow. Every step we take, a host of signals meet us, providing information about what is happening in other parts of reality. The cherry tree in bloom reveals that spring has arrived. The footprint left on wet sand indicates that someone has walked along the beach. A red traffic light signals that we must bring our car to a halt. In The Phenomenon of Information, author Mario Perez-Montoro addresses the problems of providing a theoretical explanation of how a signal carries informational content, how to identify its characteristics, and how to define the mechanisms for describing it. To do this, Perez-Montoro examines several theoretical approaches to the phenomenon of information: the mathematical theory of communication, Dretske's approach, and the relational theory of meaning. A critique of these efforts leads to the author's definition of informational content, named "the extensional approach," which is designed to overcome the conceptual limitations of the previous theories. The author proposes that his definition might serve as a basis on which a satisfactory analysis of the concept of information can be developed.

Contents:
Preface Part I: Theory Personalized Chapter 1: Theory Retrospective Chapter 2: Theory Favorites Chapter 3: Theory Fashion Chapter 4: Framing Theory Chapter 5: Inside The Norton Anthology of Theory and Criticism Chapter 6: Consolidating Theory (Interview) Chapter 7: Theory, Literature, and Literary Studies Today (Interview) Part II: Cultural Studies Practiced Chapter 8: Criticizing Globalization: The Case of Pierre Bourdieu Chapter 9: The New Economic Criticisms: The Rise of the Lilliputians Chapter 10: Postmodern Fashion Chapter 11: Blues Southwestern Style Chapter 12: Postmodern Interdisciplinarity Appendix Notes Index Olesen, and Nina Lykke

An effective blend of carefully explained theory and practical applications, this text imparts the fundamentals of both information theory and data compression. Although the two topics are related, this unique text allows either topic to be presented independently, and it was specifically designed so that the data compression section requires no prior knowledge of information theory.

The treatment of information theory, while theoretical and abstract, is quite elementary, making this text less daunting than many others. After presenting the fundamental definitions and results of the theory, the authors then apply the theory to memoryless, discrete channels with zeroth-order, one-state sources.

The chapters on data compression acquaint students with a myriad of lossless compression methods and then introduce two lossy compression methods. Students emerge from this study competent in a wide range of techniques. The authors' presentation is highly practical but includes some important proofs, either in the text or in the exercises, so instructors can, if they choose, place more emphasis on the mathematics.

Introduction to Information Theory and Data Compression, Second Edition is ideally suited for an upper-level or graduate course for students in mathematics, engineering, and computer science.

Patrice Flichy offers a profound analysis of the social shaping and impact of the major communication technologies of the last 200 years. From the semaphore and telegraph to contemporary information technologies, Dynamics of Modern Communication focuses on the relationship between technological and social change. Particular emphasis is put on four processes: the birth of the modern state at the end of the eighteenth century; the development of stock markets; the transformation of private life in the modern nuclear family; and the individualism of the late twentieth century. Exploring the interaction of technology and social context - for example, in the move from public methods of communication to more private and individualized forms - Flichy exposes the gap between the original conception of a technology and its end use after the interplay of political, economic and consumer forces.

This textbook provides students with a concise introduction to the development of communication theory. Written in an engaging style, it offers an account of the development of all the major theoretical approaches in communication and media studies. The book summarizes clearly and methodically the range of existing theories; explains how and why the diverse currents and schools of thought emerged; and contextualizes all the major approaches, including those of cultural studies and political economy, in their historical, social and intellectual setting. Theories of Communication is an essential text for all students of media, communication and cultural studies. It will also be welcomed by anyone seeking to understand the changes that have accompanied the rise of the so-called `information society'.

"i In the Sky" is a collection of essays by more than 40 experts, including such leading writers as Charles Handy, Don Tapscott, and Kevin Warwick, giving their personal vision of the future of information. Information here is given its widest meaning and includes such subjects as the Internet, electronic commerce, cybernetics, robotics, artificial intelligence, and even computers as fashion accessories.

Information as phenomenon pervades all areas of life, and its evolution has consequences for everyone. Many of the essays have as their central themes the future of computer intelligence; library and information services; interactive Internet marketing; networked learning in higher education; the linking of technology enabling remote and online communication to the deconstruction of the modern corporation; artificial intelligence; scholarly communication; smart houses; intelligent appliances; etc.

Drawing on case studies from Denmark, The Netherlands and the UK, this book discusses new Information and Communication Technologies (ICTs). Contributors argue that ICTs play an important role in the process of restructuring and redefining basic relations within the political systems of Western democracies.

We are often told that we are 'living in an information society' or that we are 'information workers'. But what exactly do these claims mean, and how might they be verified? In this important methodological study, Alistair Duff cuts through the rhetoric to get to the bottom of the 'information society thesis'.
Wide-ranging in coverage, this study will be of interest to scholars in information science, communication and media studies and social theory. It is a key text for the newly-unified specialism of information society studies, and an indispensable guide to the future of this discipline.

This issue represents a broad synopsis of the past, present, and future of electronic publishing. The contributors explore the opportunities and challenges related to this new distribution channel, and the effect of this change on publishers, authors/editors, distributors, and consumers. Standing with the key to the "new world," publishers will be faced with new opportunities and nagging issues related to new competition, content control, and protection of revenue streams requiring strategies that stress rationalization of distribution systems, cross-promotion, strategic pricing, and leveraging to new revenue sources. In addition, this issue also highlights the objections of consumers to these types of change, the benefits of the new technology for consumers, and the adaptation of the publishing industry as a whole.