Doing Computational Social Science

Author by : John McLevey
Languange : en
Publisher by : Sage Publications Limited
Format Available : PDF, ePub, Mobi
Total Read : 34
Total Download : 237
File Size : 48,5 Mb
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Description : Computational approaches offer exciting opportunities for us to do social science differently. This beginner's guide discusses a range of computational methods and how to use them to study the problems and questions you want to research. It assumes no knowledge of programming, offering step-by-step guidance for coding in Python and drawing on examples of real data analysis to demonstrate how you can apply each approach in any discipline. The book also: Considers important principles of social scientific computing, including transparency, accountability and reproducibility. Understands the realities of completing research projects and offers advice for dealing with issues such as messy or incomplete data and systematic biases. Empowers you to learn at your own pace, with online resources including screencast tutorials and datasets that enable you to practice your skills and get up to speed. For anyone who wants to use computational methods to conduct a social science research project, this book equips you with the skills, good habits and best working practices to do rigorous, high quality work.


Pathways Between Social Science And Computational Social Science

Author by : Tamás Rudas
Languange : en
Publisher by : Springer Nature
Format Available : PDF, ePub, Mobi
Total Read : 25
Total Download : 838
File Size : 50,9 Mb
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Description : This volume shows that the emergence of computational social science (CSS) is an endogenous response to problems from within the social sciences and not exogeneous. The three parts of the volume address various pathways along which CSS has been developing from and interacting with existing research frameworks. The first part exemplifies how new theoretical models and approaches on which CSS research is based arise from theories of social science. The second part is about methodological advances facilitated by CSS-related techniques. The third part illustrates the contribution of CSS to traditional social science topics, further attesting to the embedded nature of CSS. The expected readership of the volume includes researchers with a traditional social science background who wish to approach CSS, experts in CSS looking for substantive links to more traditional social science theories, methods and topics, and finally, students working in both fields.


At The Crossroads Lessons And Challenges In Computational Social Science

Author by : Javier Borge-Holthoefer
Languange : en
Publisher by : Frontiers Media SA
Format Available : PDF, ePub, Mobi
Total Read : 81
Total Download : 464
File Size : 41,8 Mb
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Description : The interest of physicists in economic and social questions is not new: for over four decades, we have witnessed the emergence of what is called nowadays “sociophysics” and “econophysics”, vigorous and challenging areas within the wider “Interdisciplinary Physics”. With tools borrowed from Statistical Physics and Complexity, this new area of study have already made important contributions, which in turn have fostered the development of novel theoretical foundations in Social Science and Economics, via mathematical approaches, agent-based modelling and numerical simulations. From these foundations, Computational Social Science has grown to incorporate as well the empirical component --aided by the recent data deluge from the Web 2.0 and 3.0--, closing in this way the experiment-theory cycle in the best tradition of Physics.


Big Data In Computational Social Science And Humanities

Author by : Shu-Heng Chen
Languange : en
Publisher by : Springer
Format Available : PDF, ePub, Mobi
Total Read : 51
Total Download : 770
File Size : 49,5 Mb
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Description : This edited volume focuses on big data implications for computational social science and humanities from management to usage. The first part of the book covers geographic data, text corpus data, and social media data, and exemplifies their concrete applications in a wide range of fields including anthropology, economics, finance, geography, history, linguistics, political science, psychology, public health, and mass communications. The second part of the book provides a panoramic view of the development of big data in the fields of computational social sciences and humanities. The following questions are addressed: why is there a need for novel data governance for this new type of data?, why is big data important for social scientists?, and how will it revolutionize the way social scientists conduct research? With the advent of the information age and technologies such as Web 2.0, ubiquitous computing, wearable devices, and the Internet of Things, digital society has fundamentally changed what we now know as "data", the very use of this data, and what we now call "knowledge". Big data has become the standard in social sciences, and has made these sciences more computational. Big Data in Computational Social Science and Humanities will appeal to graduate students and researchers working in the many subfields of the social sciences and humanities.


Introduction To Computational Social Science

Author by : Claudio Cioffi-Revilla
Languange : en
Publisher by : Springer
Format Available : PDF, ePub, Mobi
Total Read : 87
Total Download : 416
File Size : 44,8 Mb
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Description : This textbook provides a comprehensive and reader-friendly introduction to the field of computational social science (CSS). Presenting a unified treatment, the text examines in detail the four key methodological approaches of automated social information extraction, social network analysis, social complexity theory, and social simulation modeling. This updated new edition has been enhanced with numerous review questions and exercises to test what has been learned, deepen understanding through problem-solving, and to practice writing code to implement ideas. Topics and features: contains more than a thousand questions and exercises, together with a list of acronyms and a glossary; examines the similarities and differences between computers and social systems; presents a focus on automated information extraction; discusses the measurement, scientific laws, and generative theories of social complexity in CSS; reviews the methodology of social simulations, covering both variable- and object-oriented models.


Big Data In Computational Social Science And Humanities

Author by : Shu-Heng Chen
Languange : en
Publisher by : Springer
Format Available : PDF, ePub, Mobi
Total Read : 59
Total Download : 206
File Size : 42,5 Mb
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Description : This edited volume focuses on big data implications for computational social science and humanities from management to usage. The first part of the book covers geographic data, text corpus data, and social media data, and exemplifies their concrete applications in a wide range of fields including anthropology, economics, finance, geography, history, linguistics, political science, psychology, public health, and mass communications. The second part of the book provides a panoramic view of the development of big data in the fields of computational social sciences and humanities. The following questions are addressed: why is there a need for novel data governance for this new type of data?, why is big data important for social scientists?, and how will it revolutionize the way social scientists conduct research? With the advent of the information age and technologies such as Web 2.0, ubiquitous computing, wearable devices, and the Internet of Things, digital society has fundamentally changed what we now know as "data", the very use of this data, and what we now call "knowledge". Big data has become the standard in social sciences, and has made these sciences more computational. Big Data in Computational Social Science and Humanities will appeal to graduate students and researchers working in the many subfields of the social sciences and humanities.


Computational Social Science In The Age Of Big Data

Author by : Martin Welker
Languange : en
Publisher by : Herbert von Halem Verlag
Format Available : PDF, ePub, Mobi
Total Read : 88
Total Download : 517
File Size : 44,9 Mb
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Description : Der Sammelband Computational Social Science in the Age of Big Data beschäftigt sich mit Konzepten, Methoden, Tools und Anwendungen (automatisierter) datengetriebener Forschung mit sozialwissenschaftlichem Hintergrund. Der Fokus des Bandes liegt auf der Etablierung der Computational Social Science (CSS) als aufkommendes Forschungs- und Anwendungsfeld. Es werden Beiträge international namhafter Autoren präsentiert, die forschungs- und praxisrelevante Themen dieses Bereiches besprechen. Die Herausgeber forcieren dabei einen interdisziplinären Zugang zum Feld, der sowohl Online-Forschern aus der Wissenschaft wie auch aus der angewandten Marktforschung einen Einstieg bietet.


Computational Social Science

Author by : R. Michael Alvarez
Languange : en
Publisher by : Cambridge University Press
Format Available : PDF, ePub, Mobi
Total Read : 30
Total Download : 298
File Size : 52,5 Mb
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Description : Quantitative research in social science research is changing rapidly. Researchers have vast and complex arrays of data with which to work: we have incredible tools to sift through the data and recognize patterns in that data; there are now many sophisticated models that we can use to make sense of those patterns; and we have extremely powerful computational systems that help us accomplish these tasks quickly. This book focuses on some of the extraordinary work being conducted in computational social science - in academia, government, and the private sector - while highlighting current trends, challenges, and new directions. Thus, Computational Social Science showcases the innovative methodological tools being developed and applied by leading researchers in this new field. The book shows how academics and the private sector are using many of these tools to solve problems in social science and public policy.


Social Simulation For A Digital Society

Author by : Diane Payne
Languange : en
Publisher by : Springer Nature
Format Available : PDF, ePub, Mobi
Total Read : 35
Total Download : 312
File Size : 50,8 Mb
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Description : “Social Simulation for a Digital Society” provides a cross-section of state-of-the-art research in social simulation and computational social science. With the availability of big data and faster computing power, the social sciences are undergoing a tremendous transformation. Research in computational social sciences has received considerable attention in the last few years, with advances in a wide range of methodologies and applications. Areas of application of computational methods range from the study of opinion and information dynamics in social networks, the formal modeling of resource use, the study of social conflict and cooperation to the development of cognitive models for social simulation and many more. This volume is based on the Social Simulation Conference of 2017 in Dublin and includes applications from across the social sciences, providing the reader with a demonstration of the highly versatile research in social simulation, with a particular focus on public policy relevance in a digital society. Chapters in the book include contributions to the methodology of simulation-based research, theoretical and philosophical considerations, as well as applied work. This book will appeal to students and researchers in the field.


Computational Social Science

Author by : Wei Luo
Languange : en
Publisher by : CRC Press
Format Available : PDF, ePub, Mobi
Total Read : 62
Total Download : 219
File Size : 44,8 Mb
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Description : Selected papers from the International Conference on New Computational Social Science, focusing on the following five aspects: Big data acquisition and analysis, Integration of qualitative research and quantitative research, Sociological Internet experiment research, Application of ABM simulation method in Sociology Research, Research and development of new social computing tools. With the rapid development of information technology, especially sweeping progress in the Internet of things, cloud computing, social networks, social media and big data, social computing, as a data-intensive science, is an emerging field that leverages the capacity to collect and analyze data with an unprecedented breadth, depth and scale. It represents a new computing paradigm and an interdisciplinary field of research and application. A broad comprehension of major topics involved in social computing is important for both scholars and practitioners. This proceedings presents and discusses key concepts and analyzes the state-of-the-art of the field. The conference not only gave insights on social computing, but also affords conduit for future research in the field. Social computing has two distinct trends: One is on the social science issues, such as computational social science, computational sociology, social network analysis, etc; The other is on the use of computational techniques. Finally some new challenges ahead are summarized, including interdisciplinary cooperation and training, big data sharing for scientific data mashups, and privacy protect.


Advances In Computational Social Science

Author by : Shu-Heng Chen
Languange : en
Publisher by : Springer
Format Available : PDF, ePub, Mobi
Total Read : 77
Total Download : 663
File Size : 40,7 Mb
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Description : This volume is a post-conference publication of the 4th World Congress on Social Simulation (WCSS), with contents selected from among the 80 papers originally presented at the conference. WCSS is a biennial event, jointly organized by three scientific communities in computational social science, namely, the Pacific-Asian Association for Agent-Based Approach in Social Systems Sciences (PAAA), the European Social Simulation Association (ESSA), and the Computational Social Science Society of the Americas (CSSSA). It is, therefore, currently the most prominent conference in the area of agent-based social simulation. The papers selected for this volume give a holistic view of the current development of social simulation, indicating the directions for future research and creating an important archival document and milestone in the history of computational social science. Specifically, the papers included here cover substantial progress in artificial financial markets, macroeconomic forecasting, supply chain management, bank networks, social networks, urban planning, social norms and group formation, cross-cultural studies, political party competition, voting behavior, computational demography, computational anthropology, evolution of languages, public health and epidemics, AIDS, security and terrorism, methodological and epistemological issues, empirical-based agent-based modeling, modeling of experimental social science, gaming simulation, cognitive agents, and participatory simulation. Furthermore, pioneering studies in some new research areas, such as the theoretical foundations of social simulation and categorical social science, also are included in the volume.


Spatial Synthesis

Author by : Xinyue Ye
Languange : en
Publisher by : Springer
Format Available : PDF, ePub, Mobi
Total Read : 90
Total Download : 626
File Size : 40,9 Mb
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Description : This book describes how powerful computing technology, emerging big and open data sources, and theoretical perspectives on spatial synthesis have revolutionized the way in which we investigate social sciences and humanities. It summarizes the principles and applications of human-centered computing and spatial social science and humanities research, thereby providing fundamental information that will help shape future research. The book illustrates how big spatiotemporal socioeconomic data facilitate the modelling of individuals’ economic behavior in space and time and how the outcomes of such models can reveal information about economic trends across spatial scales. It describes how spatial social science and humanities research has shifted from a data-scarce to a data-rich environment. The chapters also describe how a powerful analytical framework for identifying space-time research gaps and frontiers is fundamental to comparative study of spatiotemporal phenomena, and how research topics have evolved from structure and function to dynamic and predictive. As such this book provides an interesting read for researchers, students and all those interested in computational and spatial social sciences and humanities.


Proceedings Of The 2019 International Conference Of The Computational Social Science Society Of The Americas

Author by : Zining Yang
Languange : en
Publisher by : Springer Nature
Format Available : PDF, ePub, Mobi
Total Read : 99
Total Download : 637
File Size : 42,5 Mb
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Description : This book presents the latest research into CSS methods, uses, and results, as presented at the 2019 annual conference of the CSSSA. This conference was held in Santa Fe, New Mexico, October 24 – 27, 2019, at the Drury Plaza Hotel. What follows is a diverse representation of new results and approaches for using the tools of CSS and agent-based modeling (ABM) for exploring complex phenomena across many different domains. Readers will therefore not only have the results of these specific projects on which to build, but will also gain a greater appreciation for the broad scope of CSS, and have a wealth of case-study examples that can serve as meaningful exemplars for new research projects and activities. The Computational Social Science Society of the Americas (CSSSA) is a professional society that aims to advance the field of CSS in all its areas, from fundamental principles to real-world applications, by holding conferences and workshops, promoting standards of scientific excellence in research and teaching, and publishing novel research findings.


Advances In Social Simulation

Author by : Harko Verhagen
Languange : en
Publisher by : Springer Nature
Format Available : PDF, ePub, Mobi
Total Read : 86
Total Download : 414
File Size : 53,6 Mb
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Description : ​This book presents the state-of-the-art in social simulation as presented at the Social Simulation Conference 2018 in Stockholm, Sweden. It covers the developments in applications and methods of social simulation, addressing societal issues such as socio-ecological systems and policy making. Methodological issues discussed include large-scale empirical calibration, model sharing and interdisciplinary research, as well as decision making models, validation and the use of qualitative data in simulation modeling. Research areas covered include archaeology, cognitive science, economics, organization science, and social simulation education. This collection gives readers insight into the increasing use of social simulation in both its theoretical development and in practical applications such as policy making whereby modelling and the behavior of complex systems is key. The book will appeal to students, researchers and professionals in the various fields.


Knowledge Discovery In The Social Sciences

Author by : Xiaoling Shu
Languange : en
Publisher by : University of California Press
Format Available : PDF, ePub, Mobi
Total Read : 27
Total Download : 333
File Size : 40,9 Mb
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Description : Knowledge Discovery in the Social Sciences helps readers find valid, meaningful, and useful information. It is written for researchers and data analysts as well as students who have no prior experience in statistics or computer science. Suitable for a variety of classes—including upper-division courses for undergraduates, introductory courses for graduate students, and courses in data management and advanced statistical methods—the book guides readers in the application of data mining techniques and illustrates the significance of newly discovered knowledge. Readers will learn to: • appreciate the role of data mining in scientific research • develop an understanding of fundamental concepts of data mining and knowledge discovery • use software to carry out data mining tasks • select and assess appropriate models to ensure findings are valid and meaningful • develop basic skills in data preparation, data mining, model selection, and validation • apply concepts with end-of-chapter exercises and review summaries


Computational Conflict Research

Author by : Emanuel Deutschmann
Languange : en
Publisher by : Springer Nature
Format Available : PDF, ePub, Mobi
Total Read : 51
Total Download : 900
File Size : 48,8 Mb
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Description : This open access book brings together a set of original studies that use cutting-edge computational methods to investigate conflict at various geographic scales and degrees of intensity and violence. Methodologically, this book covers a variety of computational approaches from text mining and machine learning to agent-based modelling and social network analysis. Empirical cases range from migration policy framing in North America and street protests in Iran to violence against civilians in Congo and food riots world-wide. Supplementary materials in the book include a comprehensive list of the datasets on conflict and dissent, as well as resources to online repositories where the annotated code and data of individual chapters can be found and where (agent-based) models can be re-produced and altered. These materials are a valuable resource for those wishing to retrace and learn from the analyses described in this volume and adapt and apply them to their own research interests. By bringing together novel research through an international team of scholars from a range of disciplines, Computational Conflict Research pioneers and maps this emerging field. The book will appeal to students, scholars, and anyone interested in the prospects of using computational social sciences to advance our understanding of conflict dynamics.


Computational Social Science And Complex Systems

Author by : J. Kertész
Languange : en
Publisher by : IOS Press
Format Available : PDF, ePub, Mobi
Total Read : 93
Total Download : 682
File Size : 55,9 Mb
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Description : For many years, the development of large-scale quantitative social science was hindered by a lack of data. Traditional methods of data collection like surveys were very useful, but were limited. The situation has of course changed with the development of computing and information communication technology, and we now live in a world of data deluge, where the question has become how to extract important information from the plethora of data that can be accessed. Big Data has made it possible to study societal questions which were once impossible to deal with, but new tools and new multidisciplinary approaches are required. Physicists, together with economists, sociologists, computer scientists, etc. have played an important role in their development. This book presents the 9 lectures delivered at the CCIII Summer Course Computational Social Science and Complex Systems, held as part of the International School of Physics Enrico Fermi in Varenna, Italy, from 16-21 July 2018. The course had the aim of presenting some of the recent developments in the interdisciplinary fields of computational social science and econophysics to PhD students and young researchers, with lectures focused on recent problems investigated in computational social science. Addressing some of the basic questions and many of the subtleties of the emerging field of computational social science, the book will be of interest to students, researchers and advanced research professionals alike.


The Routledge Handbook Of Developments In Digital Journalism Studies

Author by : Scott Eldridge II
Languange : en
Publisher by : Routledge
Format Available : PDF, ePub, Mobi
Total Read : 56
Total Download : 801
File Size : 48,8 Mb
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Description : The Routledge Handbook of Developments in Digital Journalism Studies offers a unique and authoritative collection of essays that report on and address the significant issues and focal debates shaping the innovative field of digital journalism studies. In the short time this field has grown, aspects of journalism have moved from the digital niche to the digital mainstay, and digital innovations have been ‘normalized’ into everyday journalistic practice. These cycles of disruption and normalization support this book’s central claim that we are witnessing the emergence of digital journalism studies as a discrete academic field. Essays bring together the research and reflections of internationally distinguished academics, journalists, teachers, and researchers to help make sense of a reconceptualized journalism and its effects on journalism’s products, processes, resources, and the relationship between journalists and their audiences. The handbook also discusses the complexities and challenges in studying digital journalism and shines light on previously unexplored areas of inquiry such as aspects of digital resistance, protest, and minority voices. The Routledge Handbook of Developments in Digital Journalism Studies is a carefully curated overview of the range of diverse but interrelated original research that is helping to define this emerging discipline. It will be of particular interest to undergraduate and postgraduate students studying digital, online, computational, and multimedia journalism.


Computational Social Science Second Edition

Author by : Gerardus Blokdyk
Languange : en
Publisher by : 5starcooks
Format Available : PDF, ePub, Mobi
Total Read : 95
Total Download : 879
File Size : 55,5 Mb
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Description : Which Computational social science goals are the most important? What would happen if Computational social science weren't done? Are we Assessing Computational social science and Risk? How do we Identify specific Computational social science investment and emerging trends? What are your most important goals for the strategic Computational social science objectives? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Computational social science investments work better. This Computational social science All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Computational social science Self-Assessment. Featuring 702 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Computational social science improvements can be made. In using the questions you will be better able to: - diagnose Computational social science projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Computational social science and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Computational social science Scorecard, you will develop a clear picture of which Computational social science areas need attention. Your purchase includes access details to the Computational social science self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.


Behavioral Computational Social Science

Author by : Riccardo Boero
Languange : en
Publisher by : John Wiley & Sons
Format Available : PDF, ePub, Mobi
Total Read : 23
Total Download : 129
File Size : 45,7 Mb
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Description : "Provides a unified approach to social research, integrating both agent-based models and behavioral studies.Introduces the reader to all the concepts, tools and references that are required for conducting research in behavioral computational social science"--


Doing Social Network Research

Author by : Garry Robins
Languange : en
Publisher by : SAGE
Format Available : PDF, ePub, Mobi
Total Read : 95
Total Download : 199
File Size : 50,6 Mb
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Description : Are you struggling to design your social network research? Are you looking for a book that covers more than social network analysis? If so, this is the book for you! With straight-forward guidance on research design and data collection, as well as social network analysis, this book takes you start to finish through the whole process of doing network research. Open the book and you'll find practical, 'how to' advice and worked examples relevant to PhD students and researchers from across the social and behavioural sciences. The book covers: Fundamental network concepts and theories Research questions and study design Social systems and data structures Network observation and measurement Methods for data collection Ethical issues for social network research Network visualization Methods for social network analysis Drawing conclusions from social network results This is a perfect guide for all students and researchers looking to do empirical social network research.


Computational Social Science

Author by : Nigel Gilbert
Languange : en
Publisher by : SAGE Publications Limited
Format Available : PDF, ePub, Mobi
Total Read : 19
Total Download : 774
File Size : 50,7 Mb
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Description : Computational social science is an approach increasingly influential in a broad range of social sciences. It involves building a computer program model that represents a theory and then 'executing' the program and observing the output as a way of validating the theory, making predictions about the social world or exploring the implications of social interventions. Computational Social Science, a four volume set republishes the widely dispersed key articles in the emerging field of computational social science.


The Complexity Of Social Norms

Author by : Maria Xenitidou
Languange : en
Publisher by : Springer
Format Available : PDF, ePub, Mobi
Total Read : 64
Total Download : 384
File Size : 41,9 Mb
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Description : This book explores the view that normative behaviour is part of a complex of social mechanisms, processes and narratives that are constantly shifting. From this perspective, norms are not a kind of self-contained social object or fact, but rather an interplay of many things that we label as norms when we ‘take a snapshot’ of them at a particular instant. Further, this book pursues the hypothesis that considering the dynamic aspects of these phenomena sheds new light on them. The sort of issues that this perspective opens to exploration include: Of what is this complex we call a "social norm" composed of? How do new social norms emerge and what kind of circumstances might facilitate such an appearance? How context-specific are the norms and patterns of normative behaviour that arise? How do the cognitive and the social aspects of norms interact over time? How do expectations, beliefs and individual rationality interact with social norm complexes to effect behaviour? How does our social embeddedness relate to social constraint upon behaviour? How might the socio-cognitive complexes that we call norms be usefully researched?


Computational Social Networks

Author by : My T. Thai
Languange : en
Publisher by : Springer
Format Available : PDF, ePub, Mobi
Total Read : 27
Total Download : 551
File Size : 49,8 Mb
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Description : This book constitutes the refereed proceedings of the 4th International Conference on Computational Social Networks, CSoNet 2015, held in Beijing, China, in August 2015. The 23 revised full papers and 3 short papers presented together with 2 extended abstracts were carefully reviewed and selected from 101 submissions and cover topics on social information diffusion; network clustering and community structure; social link prediction and recommendation; and social network structure analysis.


Computational Social Science

Author by : Nigel Gilbert
Languange : en
Publisher by : SAGE Publications Limited
Format Available : PDF, ePub, Mobi
Total Read : 62
Total Download : 600
File Size : 46,7 Mb
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Description : Computational social science is an approach increasingly influential in a broad range of social sciences. It involves building a computer program model that represents a theory and then 'executing' the program and observing the output as a way of validating the theory, making predictions about the social world or exploring the implications of social interventions. Computational Social Science, a four volume set republishes the widely dispersed key articles in the emerging field of computational social science.


Knowledge Discovery In The Social Sciences

Author by : Xiaoling Shu
Languange : en
Publisher by : University of California Press
Format Available : PDF, ePub, Mobi
Total Read : 66
Total Download : 841
File Size : 55,6 Mb
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Description : Knowledge Discovery in the Social Sciences helps readers find valid, meaningful, and useful information. It is written for researchers and data analysts as well as students who have no prior experience in statistics or computer science. Suitable for a variety of classes—including upper-division courses for undergraduates, introductory courses for graduate students, and courses in data management and advanced statistical methods—the book guides readers in the application of data mining techniques and illustrates the significance of newly discovered knowledge. Readers will learn to: • appreciate the role of data mining in scientific research • develop an understanding of fundamental concepts of data mining and knowledge discovery • use software to carry out data mining tasks • select and assess appropriate models to ensure findings are valid and meaningful • develop basic skills in data preparation, data mining, model selection, and validation • apply concepts with end-of-chapter exercises and review summaries