The burgeoning field of data analysis is expanding at an incredible pace due to the proliferation of data collection in almost every area of science. The enormous data sets now routinely encountered i
Transform Big Data into Insight"In this book, some of Oracle's best engineers and architects explain how you can make use of big data. They'll tell you how you can integrate your existing Oracle solut
"Clustering is a diverse topic, and the underlying algorithms depend greatly on the data domain and problem scenario. This book focuses on three primary aspects of data clustering: the core methods su
This broad, deep, but not-too-technical guide introduces you to the fundamental principles of data science and walks you through the "data-analytic thinking" necessary for extracting useful knowledge
This collection of thirteen articles considers who is disconnected and why. The articles examine the link between connectedness and political behavior, notes empirical evidence on the multidimensional
This volume presents an integrated approach to life-course analysis with innovations on the theoretical, empirical and methodological level. Life courses are considered as multidimensional individual
Written for those with a science and engineering background, this book introduces and explains a comprehensive set of data mining techniques from various data mining fields. Concepts and methodologies
Web mining aims to discover useful information and knowledge from Web hyperlinks, page contents, and usage data. Although Web mining uses many conventional data mining techniques, it is not purely an
This is the first book to be published on the topic of data quality exploration, analytics and quantitative data cleaning. The author provides a sound technical grounding in the subject and shows read
Big Data Imperatives, focuses on resolving the key questions on every one's mind: Which data matters? Do you have enough data volume to justify the usage? How you want to process this amount of data?
Over the past decade, there has been an unprecedented rate of innovation in computational imaging and visualising techniques to render physical and non-physical data in visual form, including techniqu
Over 70 countries and various international organizations have adopted data protection and privacy laws that regulate the cross-border transfer of personal data outside their borders. In an era of glo
In Disruptive Possibilities: How Big Data Changes Everything, Jeff enlightens Fortune 500 enterprises about the Big Data ecosystem as they begin to channel their data from stranded silos into an acces
Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of intere
This book is focused on the development of a data integration framework for retrieval of biodiversity information from heterogeneous and distributed data sources. The data integration system proposed
Despite research interest in functional data analysis in the last three decades, few books are available on the subject. Filling this gap, Analysis of Variance for Functional Data presents up-to-date
One of a series of pocket-sized books that provide a quick reference to development data on different topics, 'The Little Data Book on Private Sector Development 2013' provides data for more than 20 k
There have been significant developments in the design and application of algorithms for both one-dimensional signal processing and multidimensional signal processing, namely image and video processin
Data Mining Mobile Devices, also known as "Reality Mining," defines the collection of machine-sensed environmental data pertaining to human social behavior. This new paradigm of data mining makes poss
As organizations deploy business intelligence and analytic systems to harness business value from their data assets, data governance programs are quickly gaining prominence. And, although data managem
The Oracle Press Guide to Big Data Analytics using RCowritten by members of the Big Data team at Oracle, this Oracle Press book focuses on analyzing data with R while making it scalable using Oracle’s
Offering an interdisciplinary approach, this guide gives a state-of-the-art presentation of key subjects and theories in political sociology. Comprehensive and multidimensional, this book covers a var
The papers in this book cover issues related to the development of novel statistical models for the analysis of data. They offer solutions for relevant problems in statistical data analysis and contai
This book presents the statistical analysis of compositional data sets, i.e., data in percentages, proportions, concentrations, etc. The subject is covered from its grounding principles to the practic
Offering a self-contained introduction to data mining, this book presents the concepts, models and techniques for data mining in a well organized style. Both theoretical concepts and, especially, prac
This book introduces novice developers to a range of data access strategies for storing and retreiving data both locally and remotely. It provides you with a range of fully working data access solutio
Culture in Clinical Care: Strategies for Competence explores theory and practice to define and describe the multidimensional nature of culture and its interaction with an individual’s experience i
The first edition of Analysis for Longitudinal Data has become a classic. Describing the statistical models and methods for the analysis of longitudinal data, it covers both the underlying statistical
The issue of data quality is as old as data itself. However, the proliferation of diverse, large-scale and often publically available data on the Web has increased the risk of poor data quality and mi
We create more data in a day then we did from the dawn of man through 2003 and approximately 90% of all the world's data has been created in the past 2 years. What does this mean to you? In The Big Da
Data simulation is a fundamental technique in statistical programming and research. Rick Wicklin's Simulating Data with SAS brings together the most useful algorithms and the best programming techniqu
Find the right big data solution for your business or organizationBig data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as cust
Intelligent data analysis techniques offer powerful solutions to collecting and analyzing vast quantities of environmental and economic data, which lead to better decision making for sustainable devel
This book is a step-by-step tutorial full of diagrams, core concept explanations, best practice tips, and links to working book examples. This book will show you how create web-ready data visualizatio
This book opens discussion on the topics of data management. It is not a new topic at all because scientists deal with data every day; what makes this topic unique is the scale of data everyone is dea
This book canvases the thoughts and practices of Kenneth W. Thompson, who has contributed a 'public philosophy' of multidimensional and interdisciplinary ideas and practices. Drawing on interviews wit
Based on the authors’ market leading data structures books in Java and C++, this book offers a comprehensive, definitive introduction to data structures in Python by authoritative authors. Data Struct
This book surveys the state of the art in multidimensional, physically-correct visual texture modeling. Features: reviews the entire process of texture synthesis, including material appearance represe
This book deploys philosopher and economist Amartya Sen's Capabilities Approach to re-evaluate and estimate multidimensional poverty in Mozambique. Sen's conceptual notion of poverty as "unfreedom" is
Human liberation has become an epochal challenge in today’s world, requiring not only emancipation from oppressive structures but also from the oppressive self.? It is a multidimensional struggle and
