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Principles of Data Integration is the first comprehensive textbook of data integration, covering theoretical principles and implementation issues as well as current challenges raised by the semantic web and cloud computing. The book offers a range of data integration solutions enabling you to focus on what is most relevant to the problem at hand. Readers will also learn how to build their own algorithms and implement their own data integration application. Written by three of the most respected experts in the field, this book provides an extensive introduction to the theory and concepts underlying today's data integration techniques, with detailed, instruction for their application using concrete examples throughout to explain the concepts. This text is an ideal resource for database practitioners in industry, including data warehouse engineers, database system designers, data architects/enterprise architects, database researchers, statisticians, and data analysts; students in data analytics and knowledge discovery; and other data professionals working at the R&D and implementation levels. - Offers a range of data integration solutions enabling you to focus on what is most relevant to the problem at hand - Enables you to build your own algorithms and implement your own data integration applications
The theory of information integration provides a unified, general approach to the three disciplines of cognitive, social, and developmental psychology. Each of these volumes illustrates how the concepts and methods of this experimentally-grounded theory may be productively applied to core problems in one of these three disciplines.
A unified, general theory of functional cognition is presented in this book. Its generality appears in the titles of the 13 chapters listed below. Its unity appears in the effectiveness of the same methods and concepts across all of these areas. Generality and unity both stem from the foundation axiom of purposiveness. The axiom of purposiveness has been made effective through capability for functional measurement of values, which embody the goal-directed character of purposiveness. This measurement capability is based on the general cognitive algebra established in information integration theory. Functional theory can thus be made precise and effective near the level of everyday phenomenology. The book is written at a relatively simple level, directed at readers in every field of psychology. Among its characteristics are: * self-sufficient theory near the level of everyday phenomenology; * foundation on structure of the internal world; and * solid grounding in experimental analysis.
Some years ago we, the editors of this volume, found out about each other's deeply rooted interest in the concept of time, the usage of time, and the effects of shortage of time on human thought and behavior. Since then we have fostered the idea of bringing together different perspectives in this area. We are now, there fore, very content that our idea has materialized in the present volume. There is both anecdotal and empirical evidence to suggest that time con straints may affect behavior. Managers and other professional decision makers frequently identify time pressure as a major constraint on their behavior (Isen berg, 1984). Chamberlain and Zika (1990) provide empirical support for this view, showing that complaints of insufficient time are the most frequently report ed everyday minor stressors or hassles for all groups of people except the elderly. Similarly, studies in occupational settings have identified time pressure as one of the central components of workload (Derrich, 1988; O'Donnel & Eggemeier, 1986).
Psychological Foundations of Attitudes presents various approaches and theories about attitudes. The book opens with a chapter on the development of attitude theory from 1930 to 1950. This is followed by separate chapters on the principles of the attitude-reinforcer-discriminative system; a systematic test of a learning theory analysis of interpersonal attraction; a "spread of effect" in attitude formation; Hullian learning theory; and possible origins of learned attitudinal cognitions. Subsequent chapters deal with mechanisms through which attitudes can function as both independent and dependent variables in the attitude-behavior link; and the problem of how people go about applying a summary label to their attitudes and the reciprocal effects that rating has on the content of attitude. The final chapters discuss a commodity theory that relates selective social communication to value formation; the freedoms there are in regard to attitudes; attitude change occasioned by actions which are discrepant from one's previously existing attitudes or values; and the conflict-theory approach to attitude change.
Based on decades of theory, research, and practice, this seminalbook presents a detailed and comprehensive review, evaluation, andintegration of the scientific and empirical research relevant toAaron T. Beck's cognitive theory and therapy of depression. Sinceits emergence in the early 1960s, Beck's cognitive perspective hasbecome one of the most influential and well-researchedpsychological theories of depression. Over 900 scientific andscholarly references are contained in the present volume, providingthe most current and exhaustive evaluation of the scientific statusof the cognitive theory of depression. Though the application of cognitive therapy has been welldocumented in the publication of treatment manuals, the cognitivetheory of depression has not been presented in a unified manneruntil the publication of this book. Coauthored by the father ofcognitive therapy, Scientific Foundations of Cognitive Theory andTherapy of Depression offers the most complete and authoritativeaccount of Beck's theory of depression since the publication ofDepression: Causes and Treatment in 1967. Through its elaborationof recent theoretical developments in cognitive theory and itsreview of contemporary cognitive-clinical research, the bookrepresents the current state of the art in cognitive approaches todepression. As a result of its critical examination ofcognitive-clinical research and experimental informationprocessing, the authors offer many insights into the futuredirection for research on the cognitive basis of depression. The first half of the book focuses on a presentation of theclinical phenomena of depression and the current version ofcognitive theory. After outlining important questions that havebeen raised with the diagnosis of depression, the book then tracesthe historical development of Beck's cognitive theory and therapythrough the 1960s and '70s. It presents the theoretical assumptionsof the model and offers a detailed account of the most currentversion of the cognitive formulation of depression. The second half of the book provides an in-depth analysis of theempirical status of the descriptive and vulnerability hypotheses ofthe cognitive model. Drawing on over three decades of research, thebook delves into the scientific basis of numerous hypothesesderived from cognitive theory, including negativity, exclusivity,content specificity, primacy, universality, severity/persistence,selective processing, schema activation, primal processing,stability, diathesis-stress, symptom specificity, and differentialtreatment responsiveness. "In 1967 the first detailed description of the cognitive theory ofdepression was published in Depression: Causes and Treatment by oneof us, Aaron T. Beck. The basic concepts of the theory laid out inthat volume still provide the foundation for the cognitive model 30years later. As well the first systematic investigations of thetheory described in the 1967 volume contributed to a paradigmaticshift in theory, research, and treatment of depression thatresulted in a very vigorous and widespread research initiative onthe cognitive basis of depression. The present book is intended toprovide a comprehensive and critical update of the developments incognitive theory and research on depression that have occurredsince the initial publication in the 1960s."--David A. Clark, fromthe Preface.
This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.
This book constitutes the refereed proceedings of the Third International Symposium on Foundations of Information and Knowledge Systems, FoIKS 2004 held at Wilheminenburg Castle, Austria in February 2004. The 18 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 64 submissions. Among the topics covered are data integration, data security, logic programming and databases, relational reasoning, database queries, higher-order data models, updates, database views, OLAP, belief modeling, fixpoint computations, interaction schemes, plan databases, etc.
Designing research can be daunting and disorienting for novices. After experiencing this first-hand, the author has written a book that shows how to mentally frame research in a way that is understandable and approachable while also discussing some of the more specific issues that will aid the reader in understanding the options available when pursuing their research. Stressing the link between research and theory-building, this concise book shows students how new knowledge is discovered through the process of research. The author presents a model that ties together research processes across the various traditions and shows how different types of research interrelate. The book is sophisticated in its presentation, but uses plain language to provide an explanation of higher-level concepts in an engaging manner. Throughout the book, the author treats research methodologies as a blueprint for answering a wide range of interesting questions, rather than simply a set of tools to be applied. The book is an excellent guide for students who will be consumers of research and who need to understand how theory and research interrelate. "The author did an excellent job on this text. This text is the missing link in explaining research methodologies. His comparison/contrasts are excellent. Moreover, the author provides interesting alternatives and discusses how each alternative might improve the validity of research." —James Anthos, South University, Columbia "...With only six chapters, the text can be covered in a short time allowing for students to spend the majority of their time investigating social issues and developing research. Students who read and understand this book will have the knowledge and resources to cover material they are unfamiliar with." —R. David Frantzreb II, University of North Carolina - Charlotte "I am looking for something just like this that is not overbearing for the student but will complement the supplementary material and resources that I am using with my students. I think the coverage is broad enough that I could use it with all of my groups." —Karen Larwin, Youngstown State University "...I think the author’s emphasis on demonstrating the relationship between theory and research is terribly important and understated in so many other texts. I also think that in the hands of competent professors, it can be supplemented with other sources to help students learn while not being encumbered financially with an expensive tome for which they may only use a fraction of it." —John R. Mitrano, Central Connecticut State University