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Data Mining Methods For The Content Analyst

Author: Kalev Leetaru
Publisher: Routledge
ISBN: 1136514589
Size: 75.28 MB
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With continuous advancements and an increase in user popularity, data mining technologies serve as an invaluable resource for researchers across a wide range of disciplines in the humanities and social sciences. In this comprehensive guide, author and research scientist Kalev Leetaru introduces the approaches, strategies, and methodologies of current data mining techniques, offering insights for new and experienced users alike. Designed as an instructive reference to computer-based analysis approaches, each chapter of this resource explains a set of core concepts and analytical data mining strategies, along with detailed examples and steps relating to current data mining practices. Every technique is considered with regard to context, theory of operation and methodological concerns, and focuses on the capabilities and strengths relating to these technologies. In addressing critical methodologies and approaches to automated analytical techniques, this work provides an essential overview to a broad innovative field.

Research Methods For Sports Performance Analysis

Author: Peter O'Donoghue
Publisher: Routledge
ISBN: 1134005350
Size: 27.83 MB
Format: PDF, ePub
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Modern techniques of sports performance analysis enable the sport scientist, coach and athlete to objectively assess, and therefore improve upon, sporting performance. They are an important tool for any serious practitioner in sport and, as a result, performance analysis has become a key component of degree programmes in sport science and sports coaching. Research Methods for Sports Performance Analysis explains how to undertake a research project in performance analysis including: selection and specification of a research topic the research proposal gaining ethical approval for a study developing a performance analysis system testing a system for reliability analysing and discussing data writing up results. Covering the full research cycle and clearly introducing the key themes and issues in contemporary performance analysis, this is the only book that sports students will need to support a research project in performance analysis, from undergraduate dissertation to doctoral thesis. Including case studies, examples and data throughout, this book is essential reading for any student or practitioner with an interest in performance analysis, sports coaching or applied sport science.

The Concise Encyclopedia Of Communication

Author: Wolfgang Donsbach
Publisher: John Wiley & Sons
ISBN: 1118789318
Size: 57.50 MB
Format: PDF, Docs
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This concise volume presents key concepts and entries from the twelve-volume ICA International Encyclopedia of Communication (2008), condensing leading scholarship into a practical and valuable single volume. Based on the definitive twelve-volume IEC, this new concise edition presents key concepts and the most relevant headwords of communication science in an A-Z format in an up-to-date manner Jointly published with the International Communication Association (ICA), the leading academic association of the discipline in the world Represents the best and most up-to-date international research in this dynamic and interdisciplinary field Contributions come from hundreds of authors who represent excellence in their respective fields An affordable volume available in print or online

Affective Computing And Sentiment Analysis

Author: Khurshid Ahmad
Publisher: Springer Science & Business Media
ISBN: 9789400717572
Size: 16.73 MB
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This volume maps the watershed areas between two 'holy grails' of computer science: the identification and interpretation of affect – including sentiment and mood. The expression of sentiment and mood involves the use of metaphors, especially in emotive situations. Affect computing is rooted in hermeneutics, philosophy, political science and sociology, and is now a key area of research in computer science. The 24/7 news sites and blogs facilitate the expression and shaping of opinion locally and globally. Sentiment analysis, based on text and data mining, is being used in the looking at news and blogs for purposes as diverse as: brand management, film reviews, financial market analysis and prediction, homeland security. There are systems that learn how sentiments are articulated. This work draws on, and informs, research in fields as varied as artificial intelligence, especially reasoning and machine learning, corpus-based information extraction, linguistics, and psychology.

A Primer On Nonmarket Valuation

Author: Patricia A. Champ
Publisher: Springer
ISBN: 9400771045
Size: 49.47 MB
Format: PDF, Kindle
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This is a practical book with clear descriptions of the most commonly used nonmarket methods. The first chapters of the book provide the context and theoretical foundation of nonmarket valuation along with a discussion of data collection procedures. The middle chapters describe the major stated- and revealed-preference valuation methods. For each method, the steps involved in implementation are laid out and carefully explained with supporting references from the published literature. The final chapters of the book examine the relevance of experimentation to economic valuation, the transfer of existing nonmarket values to new settings, and assessments of the reliability and validity of nonmarket values. The book is relevant to individuals in many professions at all career levels. Professionals in government agencies, attorneys involved with natural resource damage assessments, graduate students, and others will appreciate the thorough descriptions of how to design, implement, and analyze a nonmarket valuation study.

Terrorism Informatics

Author: Hsinchun Chen
Publisher: Springer Science & Business Media
ISBN: 0387716130
Size: 79.31 MB
Format: PDF, ePub
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This book is nothing less than a complete and comprehensive survey of the state-of-the-art of terrorism informatics. It covers the application of advanced methodologies and information fusion and analysis. It also lays out techniques to acquire, integrate, process, analyze, and manage the diversity of terrorism-related information for international and homeland security-related applications. The book details three major areas of terrorism research: prevention, detection, and established governmental responses to terrorism. It systematically examines the current and ongoing research, including recent case studies and application of terrorism informatics techniques. The coverage then presents the critical and relevant social/technical areas to terrorism research including social, privacy, data confidentiality, and legal challenges.

Data Mining Applications With R

Author: Yanchang Zhao
Publisher: Academic Press
ISBN: 0124115209
Size: 57.61 MB
Format: PDF, ePub, Mobi
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Data Mining Applications with R is a great resource for researchers and professionals to understand the wide use of R, a free software environment for statistical computing and graphics, in solving different problems in industry. R is widely used in leveraging data mining techniques across many different industries, including government, finance, insurance, medicine, scientific research and more. This book presents 15 different real-world case studies illustrating various techniques in rapidly growing areas. It is an ideal companion for data mining researchers in academia and industry looking for ways to turn this versatile software into a powerful analytic tool. R code, Data and color figures for the book are provided at the RDataMining.com website. Helps data miners to learn to use R in their specific area of work and see how R can apply in different industries Presents various case studies in real-world applications, which will help readers to apply the techniques in their work Provides code examples and sample data for readers to easily learn the techniques by running the code by themselves

Data Analytics And Decision Support For Cybersecurity

Author: Iván Palomares Carrascosa
Publisher: Springer
ISBN: 3319594397
Size: 26.74 MB
Format: PDF, ePub, Docs
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The book illustrates the inter-relationship between several data management, analytics and decision support techniques and methods commonly adopted in Cybersecurity-oriented frameworks. The recent advent of Big Data paradigms and the use of data science methods, has resulted in a higher demand for effective data-driven models that support decision-making at a strategic level. This motivates the need for defining novel data analytics and decision support approaches in a myriad of real-life scenarios and problems, with Cybersecurity-related domains being no exception. This contributed volume comprises nine chapters, written by leading international researchers, covering a compilation of recent advances in Cybersecurity-related applications of data analytics and decision support approaches. In addition to theoretical studies and overviews of existing relevant literature, this book comprises a selection of application-oriented research contributions. The investigations undertaken across these chapters focus on diverse and critical Cybersecurity problems, such as Intrusion Detection, Insider Threats, Insider Threats, Collusion Detection, Run-Time Malware Detection, Intrusion Detection, E-Learning, Online Examinations, Cybersecurity noisy data removal, Secure Smart Power Systems, Security Visualization and Monitoring. Researchers and professionals alike will find the chapters an essential read for further research on the topic.

The Research Imagination

Author: Paul S. Gray
Publisher: Cambridge University Press
ISBN: 1139467026
Size: 51.76 MB
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The idea that science is a blueprint for research, and imagination gives research its life and purpose inspired this comprehensive explanation of research methodology. The authors' decades of experience have revealed that research is a craft requiring judgment and creativity, not simply memorization and application of the rules of science. Whether one is conducting an intimate one-on-one interview or a large-scale examination of an entire society, human imagination and scientific principles of inquiry go hand in hand. To that end, this book emphasizes scientific method, but also acknowledges its critics. It covers a wide variety of data-collection techniques, but presents them as reinforcing rather than competing with one another, thus striking a balance between qualitative and quantitative methods. It is designed for students and instructors who want a comprehensive treatment of a variety of research techniques with special emphasis on qualitative approaches.

Trends And Applications In Knowledge Discovery And Data Mining

Author: Jiuyong Li
Publisher: Springer
ISBN: 3642403190
Size: 46.78 MB
Format: PDF, Kindle
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This book constitutes the refereed proceedings at PAKDD Workshops 2013, affiliated with the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) held in Gold Coast, Australia in April 2013. The 47 revised full papers presented were carefully reviewed and selected from 92 submissions. The workshops affiliated with PAKDD 2013 include: Data Mining Applications in Industry and Government (DMApps), Data Analytics for Targeted Healthcare (DANTH), Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models (QIMIE), Biologically Inspired Techniques for Data Mining (BDM), Constraint Discovery and Application (CDA), Cloud Service Discovery (CloudSD).