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Ethnographic Decision Tree Modeling
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Book Synopsis Ethnographic Decision Tree Modeling by : Christina H. Gladwin
Download or read book Ethnographic Decision Tree Modeling written by Christina H. Gladwin and published by SAGE. This book was released on 1989-09 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why do people in a certain group behave the way they do? And, more importantly, what specific criteria was used by the group in question? This book presents a method for answering these questions.
Book Synopsis Decision Trees with Hypotheses by : Mohammad Azad
Download or read book Decision Trees with Hypotheses written by Mohammad Azad and published by Springer Nature. This book was released on 2022-11-18 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, the concept of a hypothesis about the values of all attributes is added to the standard decision tree model, considered, in particular, in test theory and rough set theory. This extension allows us to use the analog of equivalence queries from exact learning and explore decision trees that are based on various combinations of attributes, hypotheses, and proper hypotheses (analog of proper equivalence queries). The two main goals of this book are (i) to provide tools for the experimental and theoretical study of decision trees with hypotheses and (ii) to compare these decision trees with conventional decision trees that use only queries, each based on a single attribute. Both experimental and theoretical results show that decision trees with hypotheses can have less complexity than conventional decision trees. These results open up some prospects for using decision trees with hypotheses as a means of knowledge representation and algorithms for computing Boolean functions. The obtained theoretical results and tools for studying decision trees with hypotheses are useful for researchers using decision trees and rules in data analysis. This book can also be used as the basis for graduate courses.
Book Synopsis Decision Trees, Regression and Neural Network Models With Data Mining Tools by : Scientific Books
Download or read book Decision Trees, Regression and Neural Network Models With Data Mining Tools written by Scientific Books and published by Createspace Independent Publishing Platform. This book was released on 2016-01-01 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book begins by introducing tools required for building predictive models. The aim is to build the three main predictive modeling tools: Decision Tree, Neural Network, and Regression. These are addressed in considerable detail, with numerous examples of practical business applications that are illustrated with tables, charts, displays, equations, and even manual calculations that let you see the essence of what Enterprise Miner is doing as it estimates or optimizes a given model.
Book Synopsis Data Mining with Decision Trees by : Lior Rokach
Download or read book Data Mining with Decision Trees written by Lior Rokach and published by World Scientific. This book was released on 2008 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first comprehensive book dedicated entirely to the field of decision trees in data mining and covers all aspects of this important technique. Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining, the science and technology of exploring large and complex bodies of data in order to discover useful patterns. The area is of great importance because it enables modeling and knowledge extraction from the abundance of data available. Both theoreticians and practitioners are continually seeking techniques to make the process more efficient, cost-effective and accurate. Decision trees, originally implemented in decision theory and statistics, are highly effective tools in other areas such as data mining, text mining, information extraction, machine learning, and pattern recognition. This book invites readers to explore the many benefits in data mining that decision trees offer:: Self-explanatory and easy to follow when compacted; Able to handle a variety of input data: nominal, numeric and textual; Able to process datasets that may have errors or missing values; High predictive performance for a relatively small computational effort; Available in many data mining packages over a variety of platforms; Useful for various tasks, such as classification, regression, clustering and feature selection . Sample Chapter(s). Chapter 1: Introduction to Decision Trees (245 KB). Chapter 6: Advanced Decision Trees (409 KB). Chapter 10: Fuzzy Decision Trees (220 KB). Contents: Introduction to Decision Trees; Growing Decision Trees; Evaluation of Classification Trees; Splitting Criteria; Pruning Trees; Advanced Decision Trees; Decision Forests; Incremental Learning of Decision Trees; Feature Selection; Fuzzy Decision Trees; Hybridization of Decision Trees with Other Techniques; Sequence Classification Using Decision Trees. Readership: Researchers, graduate and undergraduate students in information systems, engineering, computer science, statistics and management.
Author :Kweku-Muata Osei-Bryson Publisher :Springer Science & Business Media ISBN 13 :146149463X Total Pages :229 pages Book Rating :4.4/5 (614 download)
Book Synopsis Advances in Research Methods for Information Systems Research by : Kweku-Muata Osei-Bryson
Download or read book Advances in Research Methods for Information Systems Research written by Kweku-Muata Osei-Bryson and published by Springer Science & Business Media. This book was released on 2013-11-25 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in social science research methodologies and data analytic methods are changing the way research in information systems is conducted. New developments in statistical software technologies for data mining (DM) such as regression splines or decision tree induction can be used to assist researchers in systematic post-positivist theory testing and development. Established management science techniques like data envelopment analysis (DEA), and value focused thinking (VFT) can be used in combination with traditional statistical analysis and data mining techniques to more effectively explore behavioral questions in information systems research. As adoption and use of these research methods expand, there is growing need for a resource book to assist doctoral students and advanced researchers in understanding their potential to contribute to a broad range of research problems. Advances in Research Methods for Information Systems Research: Data Mining, Data Envelopment Analysis, Value Focused Thinking focuses on bridging and unifying these three different methodologies in order to bring them together in a unified volume for the information systems community. This book serves as a resource that provides overviews on each method, as well as applications on how they can be employed to address IS research problems. Its goal is to help researchers in their continuous efforts to set the pace for having an appropriate interplay between behavioral research and design science.
Book Synopsis Introduction to Ethnographic Research by : Kimberly Kirner
Download or read book Introduction to Ethnographic Research written by Kimberly Kirner and published by SAGE Publications. This book was released on 2019-09-05 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Ethnographic Research streamlines learning the process of research, speaks to the student at a foundational level, and helps the reader conquer the apprehensions of mastering research methods. Written in a conversational style, authors Kimberly Kirner and Jan Mills use a focus on scaffolding across the chapters to help the student transition from step to step in the research process. Case studies and first-hand accounts are also featured in each chapter, allowing the student to see the early steps, successes and at times failures that accomplished researchers experienced in their past. These real examples further encourage the student that even the best researchers failed along the way, and more importantly, learned from those mistakes. This text is designed to be used as a stand alone book, but is enhanced by the use with the supplemental workbook, Doing Ethnographic Research by the same authors. This text has call-outs to the supplemental text, which allow for application and practice of the material learned.
Book Synopsis Using Methods in the Field by : Victor C. de Munck
Download or read book Using Methods in the Field written by Victor C. de Munck and published by Rowman Altamira. This book was released on 1998-08-24 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Methods textbooks generally offer prescriptive advice on how to perform certain techniques, how to develop specific strategies, how to analyze your results. But, as all experienced ethnographers know, this fine-sounding advice rarely provides ample guidance in dealing with real people in real field settings. That is where this casebook differs. Selecting many key methods regularly used by anthropologists — participant observation, consensus analysis, simple surveys, scaling, freelisting and triads, networks, decision modeling— the editors commissioned scholars who have completed studies using these techniques to describe them in the context of real field work. Using cases from health, community politics, family relations, and child development (among others) in settings as diverse as an Arkansas college campus, a Mexican barrio, a Thai village, and a Scottish business, the student is given a clear understanding of the diversity of methods used by anthropologists and the complexities surrounding their use.
Book Synopsis Doing Ethnographic Research by : Kimberly Kirner
Download or read book Doing Ethnographic Research written by Kimberly Kirner and published by SAGE Publications. This book was released on 2019-09-05 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: This workbook is loaded with exercises, how-to sections and checklists, all designed to serve as a supplemental support for students to apply the principles and concepts learned from the textbook it accompanies. With instructions and explanations written in a conversational style, it will help the student understand why the assignments are being used, why the skills they are developing are relevant and how the exercises relate to the textbook content.
Book Synopsis The Routledge Reviewer’s Guide to Mixed Methods Analysis by : Anthony J. Onwuegbuzie
Download or read book The Routledge Reviewer’s Guide to Mixed Methods Analysis written by Anthony J. Onwuegbuzie and published by Routledge. This book was released on 2021-07-12 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Routledge Reviewer’s Guide to Mixed Methods Analysis is a groundbreaking edited book – the first devoted solely to mixed methods research analyses, or mixed analyses. Each of the 30 seminal chapters, authored by internationally renowned scholars, provides a simple and practical introduction to a method of mixed analysis. Each chapter demonstrates "how to conduct the analysis" in easy-to-understand language. Many of the chapters present new topics that have never been written before, and all chapters offer cutting-edge approaches to analysis. The book contains the following four sections: Part I Quantitative Approaches to Qualitative Data (e.g., factor analysis of text, multidimensional scaling of qualitative data); Part II Qualitative Approaches to Quantitative Data (e.g., qualitizing data, mixed methodological discourse analysis); Part III "Inherently" Mixed Analysis Approaches (e.g., qualitative comparative analysis, mixed methods social network analysis, social media analytics as mixed analysis, GIS as mixed analysis); and Part IV Use of Software for Mixed Data Analysis (e.g., QDA Miner, WordStat, MAXQDA, NVivo, SPSS). The audience for this book includes (a) researchers, evaluators, and practitioners who conduct a variety of research projects and who are interested in using innovative analyses that will allow them to extract more from their data; (b) academics, including faculty who would use this book in their scholarship, as well as in their graduate-level courses, and graduate students who need access to a comprehensive set of mixed analysis tools for their dissertations/theses and other research assignments and projects; and (c) computer-assisted data analysis software developers who are seeking additional mixed analyses to include within their software programs. Chapter 24 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.
Book Synopsis Intelligent Healthcare by : Chinmay Chakraborty
Download or read book Intelligent Healthcare written by Chinmay Chakraborty and published by Springer Nature. This book was released on 2022-06-02 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book Intelligent Healthcare: Infrastructure, Algorithms, and Management® cover a wide range of research topics on innovative intelligent healthcare solutions and advancements with the latest research developments. Data analytics are relevant for healthcare to meet many technical challenges and issues that need to be addressed to realize this potential. The advanced healthcare systems have to be upgraded with new capabilities such as data analytics, machine learning, intelligent decision making, and more professional services. The Internet of Things helps to design and develop intelligent healthcare solutions assisted by security, data analytics, and machine learning. This book will provide federated learning, Data-driven infrastructure design, analytical approaches, and technological solutions with case studies for smart healthcare. This book aims to attract works on multidisciplinary research spanning across computer science and engineering, environmental studies, services, urban planning and development, Healthcare, social sciences, and industrial engineering on technologies, case studies, novel approaches, and visionary ideas related to data-driven innovative learning and computing solutions and big medical data-powered applications to cope with the real-world challenges for building smart healthcare sectors. Main Features: Ø Immersive technologies in healthcare Ø Internet of medical things Ø Federated learning algorithms Ø Explainable AI in Pervasive Healthcare Ø New management principles using biomedical data Ø Secured healthcare management systems This book aims to set up a better understanding of data scientists, researchers, and technologists under innovative digital health. The reader can find out existing research challenges, current market trends, and low-cost technologies to smoothly address the digital health issue.
Book Synopsis Knowledge and Action by : Peter Meusburger
Download or read book Knowledge and Action written by Peter Meusburger and published by Springer. This book was released on 2017-01-11 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume explores interdependencies between knowledge, action, and space from different interdisciplinary perspectives. Some of the contributors discuss knowledge as a social construct based on collective action, while others look at knowledge as an individual capacity for action. The chapters contain theoretical frameworks as well as experimental outcomes. Readers will gain insight into key questions such as: How does knowledge function as a prerequisite for action? Why are knowledge gaps growing and not diminishing in a knowledge society? How much knowledge is necessary for action? How do various types of knowledge influence the steps from cognition to action? How do different representations of knowledge shape action? What impact have spatial conditions for the formation of knowledge? What is the relationship between social and geographical space? The contributors consider rationality in social and economic theories as well as in everyday life. Attention is also given to action theoretic approaches and rationality from the viewpoints of psychology, post-structuralism, and human geography, making this an attractive book for students, researchers and academics of various backgrounds. This book is open access under a CC BY 4.0 license.
Book Synopsis Research Methods in Anthropology by : H. Russell Bernard
Download or read book Research Methods in Anthropology written by H. Russell Bernard and published by Rowman Altamira. This book was released on 2006-01-03 with total page 827 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research Methods in Anthropology is the standard textbook for methods classes in anthropology. Written in Russ BernardOs unmistakable conversational style, his guide has launched tens of thousands of students into the fieldwork enterprise with a combination of rigorous methodology, wry humor, and commonsense advice. The author has thoroughly updated this new fourth edition. Whether you are coming from a scientific, interpretive, or applied anthropological tradition, you will learn field methods from the best guide in both qualitative and quantitative methods.
Book Synopsis Decision Tree Design Using a Probabilistic Model by : International Business Machines Corporation. Research Division
Download or read book Decision Tree Design Using a Probabilistic Model written by International Business Machines Corporation. Research Division and published by . This book was released on 1981 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Soil Water Conservation by : Saskia Keesstra
Download or read book Soil Water Conservation written by Saskia Keesstra and published by MDPI. This book was released on 2019-04-11 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human needs like food and clean water are directly related to good maintenance of healthy and productive soils. A good understanding of human impact on the natural environment is therefore necessary to preserve and manage soil and water resources. This knowledge is particularly important in semi-arid and arid regions, where the increasing demands on limited water supplies require urgent efforts to improve water quality and water use efficiency. It is important to keep in mind that both soil and water are limited resources. Thus, wise use of these natural resources is a fundamental prerequisite for the sustainability of human societies. This book collects 15 original scientific contributions addressing the state of the art of soil and water conservation research. Contributions cover a wide range of topics, including (1) recovery of soil hydraulic properties; (2) erosion risk; (3) novel modeling, monitoring and experimental approaches for soil hydraulic characterization; (4) improvement of crop yields; (5) water availability; and (6) soil salinity. This collection provides more insights into conservation strategies for effective and sustainable soil and water management.
Book Synopsis Advances in Social Simulation by : Bogumił Kamiński
Download or read book Advances in Social Simulation written by Bogumił Kamiński and published by Springer Science & Business Media. This book was released on 2013-07-30 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the conference proceedings of ESSA 2013, the 9th Conference of the European Social Simulation Association. ESSA conferences constitute annual events, which serve as an international platform for the exchange of ideas and discussion of cutting-edge research in the field of social simulations, both from the theoretical as well as applied perspective. This book consists of 33 articles, which are divided into four themes: Methods for the development of simulation models, Applications of agent-based modeling, Adaptive behavior, social interactions and global environmental change and using qualitative data to inform behavioral rules. We are convinced that this book will serve interested readers as a useful compendium which presents in a nutshell the most recent advances at the frontiers of social simulation research.
Book Synopsis Analyzing Qualitative Data by : H. Russell Bernard
Download or read book Analyzing Qualitative Data written by H. Russell Bernard and published by SAGE Publications. This book was released on 2016-06-23 with total page 577 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fully updated Second Edition of Analyzing Qualitative Data: Systematic Approaches by H. Russell Bernard, Amber Wutich, and Gery W. Ryan presents systematic methods for analyzing qualitative data with clear and easy-to-understand steps. The first half is an overview of the basics, from choosing a topic to collecting data, and coding to finding themes, while the second half covers different methods of analysis, including grounded theory, content analysis, analytic induction, semantic network analysis, ethnographic decision modeling, and more. Real examples drawn from social science and health literature along with carefully crafted, hands-on exercises at the end of each chapter allow readers to master key techniques and apply them to their own disciplines.
Book Synopsis Improving the Marriage of Modeling and Theory for Accurate Forecasts of Outcomes by : Arch G. Woodside
Download or read book Improving the Marriage of Modeling and Theory for Accurate Forecasts of Outcomes written by Arch G. Woodside and published by Emerald Group Publishing. This book was released on 2018-01-29 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes tools that are useful for decision-makers to improve their understanding of what is likely to happen in different configurations of contexts and decisions and to improve their forecasting abilities substantially.
