Java Data Object

Get unprecedented access to thousands of databases. It's called Open Data, and it's revolutioninzing business.The business leader’s guide to using Open Data to analyze patterns and trends, manage risk

"This book prepares readers to analyze data and interpret statistical results using R more quickly than other texts. R is a challenging program to learn because code must be created to get started. To

Molecular biology is undergoing exponential growth in both the volume and complexity of biological data. This book offers the first comprehensive overview of data mining, preprocessing, postprocessing

Data Mining Applications with R is a great resource for researchers and professionals to understand the wide use of R, a free software environment for statistical computing and graphics, in solving di

This book presents an exhaustive and timely review of key research work on fuzzy XML data management, and provides readers with a comprehensive resource on the state-of-the art tools and theories in t

For end-users of bioinformatics databases and tools, this book explains how to independently manage large biological data sets with Python. It covers basic aspects of computer usage as well as the sim

Data analysis, machine learning and knowledge discovery are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and

"This book prepares readers to analyze data and interpret statistical results using R more quickly than other texts. R is a challenging program to learn because code must be created to get started. To

Written in plain English and based on successful client engagements, Data Modeling of Financial Derivatives: A Conceptual Approach introduces new and veteran data modelers, financial analysts, and IT

Data center facilities house computer systems, backup power supplies, and special security devices, and are a necessity for nearly every business, particularly for those with an online componentThis g

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Sampled-data Models for Linear and Nonlinear Systems provides a fresh new look at a subject with which many researchers may think themselves familiar. Rather than emphasising the differences between s

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-Driven Modeling: Using MATLABR in Water Resources and Environmental Engineering” provides a systematic account of major concepts and methodologies for data-driven models and presents a unified f

Big Data Analytics with R and Hadoop is a tutorial style book that focuses on all the powerful big data tasks that can be achieved by integrating R and Hadoop. This book is ideal for R developers who

The intensity of global competition and ever-increasing economic uncertainties has led organizations to search for more efficient and effective ways to manage their business operations. Data envelopme

Scholars of public health and geography survey techniques for collecting, analyzing, and displaying geographic health data, focusing on methods that require only an Internet-linked computer, rather th

Pro JSF and HTML5 shows you how to leverage the full potential of JavaServer Faces (JSF) and HTML5. This book is for Java developers who aspire to build sophisticated, enterprise-grade web experiences

The availability of financial data recorded on high-frequency level has inspired a research area which over the last decade emerged to a major area in econometrics and statistics. The growing populari

This book is an introductory text on analyzing economic data, covering all the key issues required for students wishing to understand and analyse core empirical issues in economics. It focuses on desc

This third edition of a classic text continues to present a comprehensive introduction to Bayesian data analysis. Along with new and revised software code, this edition includes four new chapters on n

The landscape of today’s business is shaped by the mountains of data being produced, with rapid growth in the volume, variety, and velocity of data due to the explosion of smart devices, mobile applic

Big Data in History introduces a project to create a world-historical archive that will trace the last four centuries of historical dynamics and change. The archive will link research on social, econo

This book is devoted to the Educational Data Mining arena. It highlights works that show relevant proposals, developments, and achievements that shape trends and inspire future research. After a rigor

Biologists are stepping up their efforts in understanding the biological processes that underlie disease pathways in the clinical contexts. This has resulted in a flood of biological and clinical data

Substantially updated, this self-contained second edition uses Bayesian hierarchical models in the analysis of spatial data. Three new chapters cover hierarchical models for point-process data with a

Here s the ideal statistics book for teachers with no statistics background. Written in an informal style with easy-to-grasp examples, The Basics of Data Literacy teaches you how to help your students

This practical guide helps statisticians, students, and baseball fans learn about sabermetrics and the use of R in data exploration. It covers the relation between runs and wins and the runs expectanc

This book offers conceptual analyses, highlights issues, proposes solutions, and discusses practices regarding privacy and data protection, from the concept of how to forget in a digital world to data

Authored by a geophysicist with more than 50 years of experience in research and instruction, Reflection Seismology: Theory, Data Processing and Interpretation provides a single source of foundational

Currently there are major challenges in data mining applications in the geosciences. This is due primarily to the fact that there is a wealth of available mining data amid an absence of the knowledge

Krier and Strasser offer guidance to librarians who are dealing with the National Science Foundation's new policy that grant applications must include data management plans. They cover what data manag

How nonspecialists can make use of statistics and data Students at university may be expected to analyze complex data and present your findings, whatever their area of study. This guide teaches the sk

Mobility of people and goods is essential in the global economy. The ability to track the routes and patterns associated with this mobility offers unprecedented opportunities for developing new, smarter applications in different domains. Much of the current research is devoted to developing concepts, models, and tools to comprehend mobility data and make it manageable for these applications. This book surveys the myriad facets of mobility data, from spatio-temporal data modeling, to data aggregation and warehousing, to data analysis, with a specific focus on monitoring people in motion (drivers, airplane passengers, crowds, and even animals in the wild). Written by a renowned group of worldwide experts, it presents a consistent framework that facilitates understanding of all these different facets, from basic definitions to state-of-the-art concepts and techniques, offering both researchers and professionals a thorough understanding of the applications and opportunities made possible b

Statistical Analysis of Management Data provides a comprehensive approach to multivariate statistical analyses that are important for researchers in all fields of management, including finance, produc

Panel count data occur in studies that concern recurrent events, or event history studies, when study subjects are observed only at discrete time points. By recurrent events, we mean the event that c

Solve real-life programming problems with a fraction of the code that pure object-oriented programming requires. Use Scala and Clojure to solve in-depth problems with two sets of patterns: object-orie

Make tools for storage accessible from Azure apps and any Internet connected appIn Windows Azure Data Storage, Simon Hart of Microsoft’s Windows Azure Center of Excellence Team gives you all the tools

School leaders must know how to analyze, interpret, and use data so that they can make informed decisions in all areas of education, ranging from professional development to student learning. This boo

Data Science gets thrown around in the press like it's magic. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a bra