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Temporal Data Mining

Temporal Data Mining

Temporal data mining deals with the harvesting of useful information from temporal data. New initiatives in health care and business organizations have increased the importance of temporal information in data today. From basic data mining concepts to state-of-the-art advances Temporal Data Mining covers the theory of this subject as well as its application in a variety of fields. It discusses the incorporation of temporality in databases as well as temporal data representation similarity computation data classification clustering pattern discovery and prediction. The book also explores the use of temporal data mining in medicine and biomedical informatics business and industrial applications web usage mining and spatiotemporal data mining. Along with various state-of-the-art algorithms each chapter includes detailed references and short descriptions of relevant algorithms and techniques described in other references. In the appendices the author explains how data mining fits the overall goal of an organization and how these data can be interpreted for the purpose of characterizing a population. She also provides programs written in the Java language that implement some of the algorithms presented in the first chapter. Check out the author's blog at http://theophanomitsa. wordpress. com/

GBP 59.99
1

Temporal Regimes Materiality Politics Technology

Temporal Regimes Materiality Politics Technology

Temporal Regimes provides a theoretical framework for understanding the temporal structures of society; a conceptually rich empirically nuanced and culturally embodied account of temporal phenomena in contemporary world. What does it imply temporal regimes? How the everyday life as well as the global mobilities coordination requires temporal underpinnings? The answers to these questions mean more than simply understanding the general thesis on acceleration or space-time compression on the one hand; but also a micro-multiple-localised time experience by gender class or age on the other. They also mean understanding in an integrative way the very structural temporalities within the everyday lived embodied and situated ones. They require both a robust and flexible epistemic analysis considering their material bedrock through political and technological forefront dimensions. Advancing a rigorous well-grounded theoretical understanding and offering a useful way to analytically conceptualise the temporal dynamics on our societies this book will be of interest to advanced students and scholars enquiring a rich set of topics ranging from time and politics new materialism conceptual history as well as technology collective action and social change. | Temporal Regimes Materiality Politics Technology

GBP 38.99
1

The Routledge Handbook of Philosophy of Temporal Experience

The Routledge Handbook of Philosophy of Temporal Experience

Experience is inescapably temporal. But how do we experience time? Temporal experience is a fundamental subject in philosophy – according to Husserl the most important and difficult of all. Its puzzles and paradoxes were of critical interest from the Early Moderns through to the Post-Kantians. After a period of relative neglect temporal experience is again at the forefront of debates across a wealth of areas from philosophy of mind and psychology to metaphysics and aesthetics. The Routledge Handbook of Philosophy of Temporal Experience is an outstanding reference source to the key debates in this exciting subject area and represents the first collection of its kind. Comprising nearly 30 chapters by a team of international contributors the Handbook is organized into seven clear parts: Ancient and early modern perspectives Nineteenth and early twentieth-century perspectives The structure of temporal experience Temporal experience and the philosophy of mind Temporal experience and metaphysics Empirical perspectives Aesthetics Within each part key topics concerning temporal experience are examined including canonical figures such as Locke Kant and Husserl; extensionalism retentionalism and the specious present; interrelations between temporal experience and time agency dreaming and the self; empirical theories of perceiving and attending to time; and temporal awareness in the arts including dance music and film. The Routledge Handbook of Philosophy of Temporal Experience is essential reading for students and researchers of philosophy of mind and psychology. It is also extremely useful for those in related fields such as metaphysics phenomenology and aesthetics as well as for psychologists and cognitive neuroscientists.

GBP 44.99
1

Spatio-Temporal Methods in Environmental Epidemiology

Spatio-Temporal Methods in Environmental Epidemiology

Spatio-Temporal Methods in Environmental Epidemiology with R like its first Edition explores the interface between environmental epidemiology and spatio-temporal modelling. It links recent developments in spatio-temporal theory with epidemiological applications. Drawing on real-life problems it shows how recent advances in methodology can assess the health risks associated with environmental hazards. The book's clear guidelines enable the implementation of the methodology and estimation of risks in practice. New additions to the second edition include : a thorough exploration of the underlying concepts behind knowledge discovery through data; a new chapter on extracting information from data using R and the Tidyverse; additional material on methods for Bayesian computation including the use of NIMBLE and Stan; new methods for performing spatio-temporal analysis and an updated chapter containing further topics. Throughout the book there are new examples and the presentation of R code for examples has been extended. Along with these additions the book now has a GitHub site (https://spacetime-environ. github. io/stepi2) that contains data code and further worked examples. Features • Explores the interface between environmental epidemiology and spatio­ temporal modelling; • Incorporates examples that show how spatio-temporal methodology can inform societal concerns about the effects of environmental hazards on health; • Uses a Bayesian foundation on which to build an integrated approach to spatio-temporal modelling and environmental epidemiology; • Discusses data analysis and topics such as data visualization mapping wrangling and analysis • Shows how to design networks for monitoring hazardous environmental processes networks and the ill-effects of preferential sampling; • Through the listing and application of code shows the power of R tidyverse NIMBLE and Stan and other modern tools in performing complex data analysis and modelling. Representing a continuing important direction in environmental epidemiology this book - in full color throughout - underscores the increasing need to consider dependencies in both space and time when modelling epidemiological data. Readers will learn how to identify and model patterns in spatio-temporal data and how to exploit dependencies over space and time to reduce bias and inefficiency when estimating risks to health.

GBP 39.99
1

The Passing of Temporal Well-Being

The Passing of Temporal Well-Being

The philosophical study of well-being concerns what makes lives good for their subjects. It is now standard among philosophers to distinguish between two kinds of well-being:· lifetime well-being i. e. how good a person’s life was for him or her considered as a whole and· temporal well-being i. e. how well off someone was or how they fared at a particular moment in time (momentary well-being) or over a period of time longer than a moment but shorter than a whole life say a day month year or chapter of a life (periodic well-being). Many theories have been offered of each of these kinds of well-being. A common view is that lifetime well-being is in some way constructed out of temporal well-being. This book argues that much of this literature is premised on a mistake. Lifetime well-being cannot be constructed out of temporal well-being because there is no such thing as temporal well-being. The only genuine kind of well-being is lifetime well-being. The Passing of Temporal Well-Being will prove essential reading for professional philosophers especially in moral and political philosophy. It will also be of interest to welfare economists and policy-makers who appeal to well-being

GBP 18.99
1

Spatio–Temporal Methods in Environmental Epidemiology with R

Spatio–Temporal Methods in Environmental Epidemiology with R

Spatio-Temporal Methods in Environmental Epidemiology with R like its First Edition explores the interface between environmental epidemiology and spatio-temporal modeling. It links recent developments in spatio-temporal theory with epidemiological applications. Drawing on real-life problems it shows how recent advances in methodology can assess the health risks associated with environmental hazards. The book's clear guidelines enable the implementation of the methodology and estimation of risks in practice. New additions to the Second Edition include: a thorough exploration of the underlying concepts behind knowledge discovery through data; a new chapter on extracting information from data using R and the tidyverse; additional material on methods for Bayesian computation including the use of NIMBLE and Stan; new methods for performing spatio-temporal analysis and an updated chapter containing further topics. Throughout the book there are new examples and the presentation of R code for examples has been extended. Along with these additions the book now has a GitHub site (https://spacetime-environ. github. io/stepi2) that contains data code and further worked examples. Features:• Explores the interface between environmental epidemiology and spatio­-temporal modeling• Incorporates examples that show how spatio-temporal methodology can inform societal concerns about the effects of environmental hazards on health• Uses a Bayesian foundation on which to build an integrated approach to spatio-temporal modeling and environmental epidemiology• Discusses data analysis and topics such as data visualization mapping wrangling and analysis• Shows how to design networks for monitoring hazardous environmental processes and the ill effects of preferential sampling• Through the listing and application of code shows the power of R tidyverse NIMBLE and Stan and other modern tools in performing complex data analysis and modelingRepresenting a continuing important direction in environmental epidemiology this book – in full color throughout – underscores the increasing need to consider dependencies in both space and time when modeling epidemiological data. Readers will learn how to identify and model patterns in spatio-temporal data and how to exploit dependencies over space and time to reduce bias and inefficiency when estimating risks to health. | Spatio–Temporal Methods in Environmental Epidemiology with R

GBP 89.99
1

Excavating Modernity Physical Temporal and Psychological Strata in Literature 1900-1930

Excavating Modernity Physical Temporal and Psychological Strata in Literature 1900-1930

This book scrutinizes physical temporal and psychological strata across early twentieth-century literature focusing on geological and archaeological tropes and conceptions of the stratified psyche. The essays explore psychological perceptions from practices of envisioning that mimic looking at a painting photograph or projected light to the comprehension of the palimpsestic complexities of language memory and time. This collection is the first to see early twentieth-century physical temporal and psychological strata interact across a range of canonical and popular authors working in a variety of genres from theatre to ghost stories children’s literature to modernist magna opera. | Excavating Modernity Physical Temporal and Psychological Strata in Literature 1900-1930

GBP 38.99
1

Temporal Urban Design Temporality Rhythm and Place

Temporal Urban Design Temporality Rhythm and Place

Temporal Urban Design: Temporality Rhythm and Place examines an alternative design approach focusing on the temporal aesthetics of urban places and the importance of the sense of time and rhythm in the urban environment. The book departs from concerns on the acceleration of cities its impact on the urban quality of life and the liveability of urban spaces and questions on what influences the sense of time and how it expresses itself in the urban environment. From here it poses the questions: what time is this place and how do we design for it? It offers a new aesthetic perspective akin to music brings forward the methodological framework of urban place-rhythmanalysis and explores principles and modes of practice towards better temporal design quality in our cities. The book demonstrates that notions of time have long been intrinsic to planning and urban design research agendas and whilst learning from philosophy urban critical theory and both the natural and social sciences debate on time it argues for a shift in perspective towards the design of everyday urban time and place timescapes. Overall the book explores the value of the everyday sense of time and rhythmicity in the urban environment and discusses how urban designers can understand analyse and ultimately play a role in the creation of temporally unique both sensorial and affective places in the city. The book will be of interest to urban planners designers landscape architects and architects as well as urban geographers and all those researching within these disciplines. It will also interest students of planning urban design architecture urban studies and of urban planning and design theory. | Temporal Urban Design Temporality Rhythm and Place

GBP 130.00
1

Modelling Spatial and Spatial-Temporal Data A Bayesian Approach

Modelling Spatial and Spatial-Temporal Data A Bayesian Approach

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 small-area 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. Robert Haining is Emeritus Professor in Human Geography University of Cambridge England. He is the author of Spatial Data Analysis in the Social and Environmental Sciences (1990) and Spatial Data Analysis: Theory and Practice (2003). He is a Fellow of the RGS-IBG and of the Academy of Social Sciences. Guangquan Li is Senior Lecturer in Statistics in the Department of Mathematics Physics and Electrical Engineering Northumbria University Newcastle England. His research includes the development and application of Bayesian methods in the social and health sciences. He is a Fellow of the Royal Statistical Society. | Modelling Spatial and Spatial-Temporal Data A Bayesian Approach

GBP 44.99
1