Tableau Your Data! is a comprehensive guide to the effective use of the Tableau Software toolset for data visualization. It covers the core feature set for data analytics, illustrating best practic
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
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
Provides examples of applications of object detection and recognition, along with the working examples of code for solutions to real computer vision problemsObject Detection and Recognition in Digital
This work presents a data visualization technique that combines graph-based topology representation and dimensionality reduction methods to visualize the intrinsic data structure in a low-dimensional
《像計算機科學家一樣思考Java》作者基於自己在美國各所大學和學院講授計算機科學導論課程的經驗，開創了“像計算機科學家一樣思考（How to Think Like a Computer Scientist）”的教學理念和方法。《像計算機科學家一樣思考Java》正是基於這樣的方法，用全新的角度、豐富的實例全面地講解了Java語言。 全書共15章。第1章介紹了編程的基本知識，即什麼是編程以及如何編程。
This book offers a novel account of grace, framed in terms of Bruno Latour's "principle of irreduction." It thus models an object-oriented approach to grace, experimentally moving a traditional Christ
This book offers a novel account of grace, framed in terms of Bruno Latour's "principle of irreduction." It thus models an object-oriented approach to grace, experimentally moving a traditional Christ
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
This work identifies developmental stages in the acquisition of object pronouns by instructed second language learners of Spanish.It examines learners ranging from beginner to advanced, where the most
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
A major survey of Pop Art from private collections. Published on the occasion of an exhibition of the same title, The Pop Object is the most comprehensive survey of Pop Art to be organized by theme an
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
Cay Horstmann s seventh edition of Java Concepts provides an approachable introduction to fundamental programming techniques and design skills, helping students master basic concepts and become compet
Performance Evaluation Software: Moving Object Detection and Tracking in Videos introduces a software approach for the real-time evaluation and performance comparison of the methods specializing in mo
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
