Spatial Temporal Data Analytics And Consumer Shopping Behavior Modeling
DOWNLOAD
Download Spatial Temporal Data Analytics And Consumer Shopping Behavior Modeling PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Spatial Temporal Data Analytics And Consumer Shopping Behavior Modeling book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Spatial Temporal Data Analytics And Consumer Shopping Behavior Modeling
DOWNLOAD
Author : Ping Yan
language : en
Publisher:
Release Date : 2010
Spatial Temporal Data Analytics And Consumer Shopping Behavior Modeling written by Ping Yan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.
RFID technologies are being recently adopted in the retail space tracking consumer in-store movements. The RFID-collected data are location sensitive and constantly updated as a consumer moves inside a store. By capturing the entire shopping process including the movement path rather than analyzing merely the shopping basket at check-out, the RFID-collected data provide unique and exciting opportunities to study consumer purchase behavior and thus lead to actionable marketing applications. This dissertation research focuses on (a) advancing the representation and management of the RFID-collected shopping path data; (b) analyzing, modeling and predicting customer shopping activities with a spatial pattern discovery approach and a dynamic probabilistic modeling based methodology to enable advanced spatial business intelligence. The spatial pattern discovery approach identifies similar consumers based on a similarity metric between consumer shopping paths. The direct applications of this approach include a novel consumer segmentation methodology and an in-store real-time product recommendation algorithm. A hierarchical decision-theoretic model based on dynamic Bayesian networks (DBN) is developed to model consumer in-store shopping activities. This model can be used to predict a shopper's purchase goal in real time, infer her shopping actions, and estimate the exact product she is viewing at a time. We develop an approximate inference algorithm based on particle filters and a learning procedure based on the Expectation-Maximization (EM) algorithm to perform filtering and prediction for the network model. The developed models are tested on a real RFID-collected shopping trip dataset with promising results in terms of prediction accuracies of consumer purchase interests. This dissertation contributes to the marketing and information systems literature in several areas. First, it provides empirical insights about the correlation between spatial movement patterns and consumer purchase interests. Such correlation is demonstrated with in-store shopping data, but can be generalized to other marketing contexts such as store visit decisions by consumers and location and category management decisions by a retailer. Second, our study shows the possibility of utilizing consumer in-store movement to predict consumer purchase. The predictive models we developed have the potential to become the base of an intelligent shopping environment where store managers customize marketing efforts to provide location-aware recommendations to consumers as they travel through the store.
Regression Modelling Wih Spatial And Spatial Temporal Data
DOWNLOAD
Author : Robert P. Haining
language : en
Publisher: CRC Press
Release Date : 2020-01-27
Regression Modelling Wih Spatial And Spatial Temporal Data written by Robert P. Haining and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-27 with Mathematics categories.
Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach is aimed at statisticians and quantitative social, economic and public health students and researchers who work with spatial and spatial-temporal data. It assumes a grounding in statistical theory up to the standard linear regression model. The book compares both hierarchical and spatial econometric modelling, providing both a reference and a teaching text with exercises in each chapter. The book provides a fully Bayesian, self-contained, treatment of the underlying statistical theory, with chapters dedicated to substantive applications. The book includes WinBUGS code and R code and all datasets are available online. Part I covers fundamental issues arising when modelling spatial and spatial-temporal data. Part II focuses on modelling cross-sectional spatial data and begins by describing exploratory methods that help guide the modelling process. There are then two theoretical chapters on Bayesian models and a chapter of applications. Two chapters follow on spatial econometric modelling, one describing different models, the other substantive applications. Part III discusses modelling spatial-temporal data, first introducing models for time series data. Exploratory methods for detecting different types of space-time interaction are presented followed by two chapters on the theory of space-time separable (without space-time interaction) and inseparable (with space-time interaction) models. An applications chapter includes: the evaluation of a policy intervention; analysing the temporal dynamics of crime hotspots; chronic disease surveillance; and testing for evidence of spatial spillovers in the spread of an infectious disease. A final chapter suggests some future directions and challenges.
Consumer Spatial Behaviour
DOWNLOAD
Author : Robert William Bacon
language : en
Publisher: Oxford University Press, USA
Release Date : 1984
Consumer Spatial Behaviour written by Robert William Bacon and has been published by Oxford University Press, USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Business & Economics categories.
A theoretical book on the locational aspects of consumer behaviour.
Spatiotemporal Data Analytics And Modeling
DOWNLOAD
Author : John A
language : en
Publisher: Springer Nature
Release Date :
Spatiotemporal Data Analytics And Modeling written by John A and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Smart Meter Data Analytics
DOWNLOAD
Author : Yi Wang
language : en
Publisher: Springer Nature
Release Date : 2020-02-24
Smart Meter Data Analytics written by Yi Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-24 with Business & Economics categories.
This book aims to make the best use of fine-grained smart meter data to process and translate them into actual information and incorporated into consumer behavior modeling and distribution system operations. It begins with an overview of recent developments in smart meter data analytics. Since data management is the basis of further smart meter data analytics and its applications, three issues on data management, i.e., data compression, anomaly detection, and data generation, are subsequently studied. The following works try to model complex consumer behavior. Specific works include load profiling, pattern recognition, personalized price design, socio-demographic information identification, and household behavior coding. On this basis, the book extends consumer behavior in spatial and temporal scale. Works such as consumer aggregation, individual load forecasting, and aggregated load forecasting are introduced. We hope this book can inspire readers to define new problems, apply novel methods, and obtain interesting results with massive smart meter data or even other monitoring data in the power systems.
Applied Geography
DOWNLOAD
Author : Antoine Bailly
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-09
Applied Geography written by Antoine Bailly and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-09 with Science categories.
Applied Geography, A World Perspective reviews progress in applied geography in different regions of the world. It does this through the eyes of an international panel of highly regarded academic practitioners. The book offers new prospects on the use of established approaches and explores exciting new territories. Together, the contributors provide a comprehensive picture of applied geography today. This book is of relevance to faculty and graduate students in the fields of geography, planning, public policy, regional science and other related social and behavioural sciences.
Modeling Techniques In Predictive Analytics
DOWNLOAD
Author : Thomas W. Miller
language : en
Publisher: FT Press
Release Date : 2014-09-29
Modeling Techniques In Predictive Analytics written by Thomas W. Miller and has been published by FT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-29 with Business & Economics categories.
To succeed with predictive analytics, you must understand it on three levels: Strategy and management Methods and models Technology and code This up-to-the-minute reference thoroughly covers all three categories. Now fully updated, this uniquely accessible book will help you use predictive analytics to solve real business problems and drive real competitive advantage. If you’re new to the discipline, it will give you the strong foundation you need to get accurate, actionable results. If you’re already a modeler, programmer, or manager, it will teach you crucial skills you don’t yet have. Unlike competitive books, this guide illuminates the discipline through realistic vignettes and intuitive data visualizations–not complex math. Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, guides you through defining problems, identifying data, crafting and optimizing models, writing effective R code, interpreting results, and more. Every chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work–and maximize their value. Reflecting extensive student and instructor feedback, this edition adds five classroom-tested case studies, updates all code for new versions of R, explains code behavior more clearly and completely, and covers modern data science methods even more effectively. All data sets, extensive R code, and additional examples available for download at http://www.ftpress.com/miller If you want to make the most of predictive analytics, data science, and big data, this is the book for you. Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, appealing to managers, analysts, programmers, and students alike. Miller addresses multiple business cases and challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data. You’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. Miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic R programs that deliver actionable insights. You’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. Throughout, Miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate performance. This edition adds five new case studies, updates all code for the newest versions of R, adds more commenting to clarify how the code works, and offers a more detailed and up-to-date primer on data science methods. Gain powerful, actionable, profitable insights about: Advertising and promotion Consumer preference and choice Market baskets and related purchases Economic forecasting Operations management Unstructured text and language Customer sentiment Brand and price Sports team performance And much more
Modeling Spatial Temporal And Spatio Temporal Data In Object Relational Database Systems
DOWNLOAD
Author : Carsten Kleiner
language : en
Publisher: Cuvillier Verlag
Release Date : 2003
Modeling Spatial Temporal And Spatio Temporal Data In Object Relational Database Systems written by Carsten Kleiner and has been published by Cuvillier Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with categories.
Proceedings Of Iac Ssah 2015
DOWNLOAD
Author : Collective of authors
language : en
Publisher: Czech Institute of Academic Education z.s.
Release Date : 2015-04-16
Proceedings Of Iac Ssah 2015 written by Collective of authors and has been published by Czech Institute of Academic Education z.s. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-16 with Education categories.
Recent Advances In Modeling And Forecasting Kaiyu
DOWNLOAD
Author : Saburo Saito
language : en
Publisher: Springer Nature
Release Date :
Recent Advances In Modeling And Forecasting Kaiyu written by Saburo Saito and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.