If you want to learn how to analyze your data with R, this is your book. A broad range of real-world case studies highlights the breadth and depth of the R software. This expanded second edition delve
This book focuses on database law (a branch of intellectual property law) and further explores the legal protection currently available for data and data-related products in India. It offers a compara
This book constitutes the thoroughly refereed prost-workshop proceedings of the International Workshop on Medical Computer Vision: Algorithms for Big Data, MCS 2015, held in Munich, Germany, in Octobe
Intelligent Data Analysis for e-Learning addresses information security within e-Learning based on trustworthiness assessment and prediction. Over the past decade, many learning management systems ha
This textbook consists of ten chapters, and is a must-read to all medical and health professionals, who already have basic knowledge of how to analyze their clinical data, but still, wonder, after hav
The uniqueness and value of this book is to exploit an integrated, end-to-end capabilities that encompass data management and analytics from a business and IT perspective. Readers are introduced to th
Biostatistics and Computer-Based Analysis of Health Data Using Stata is primarily intended for health researchers who have basic knowledge of statistical methodology and relies on the use of Stata to
This book offers a survey of the contribution of satellite data to the study of the ocean, focusing on the special insights that only satellite data can bring to oceanography. Topics range from ocean
Go from messy, unstructured artifacts stored in SQL and NoSQL databases to a neat, well-organized dataset with this quick reference for the busy data scientist. Understand text mining, machine learnin
Web usage mining is the application of data mining technologies to discover interesting usage patterns from web data in order to understand and better serve the needs of web-based applications. The bu
Theory and Computation of Tensors: Multi-Dimensional Arrays investigates theories and computations of tensors to broaden perspectives on matrices. Data in the Big Data Era is not only growing larger b
The era of Big Data has brought a new analytical paradigm to statisticians and social scientists. This book is the first textbook to provide a practically oriented overview of the analytical and stati
This book introduces condition-based maintenance (CBM)/data-driven prognostics and health management (PHM) in detail, first explaining the PHM design approach from a systems engineering perspective, t
This book constitutes the refereed proceedings of the 18th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2016, held in Porto, Portugal, September 2016.The 25 revised full
This book explores the concept of test data exclusivity protection for pharmaceuticals. Focusing on Art 39(3) of the WTO Agreement on Trade-Related Aspects of Intellectual Property Rights (TRIPS Agree
This textbook teaches advanced undergraduate and first-year graduate students in Engineering and Applied Sciences to gather and analyze empirical observations (data) in order to aid in making design d
When it comes to the gun control debate, there are two kinds of data: data that's accurate, and data that left-wing billionaires and politicians want you tobelieve is accurate. In Lying to Steal Your
This report serves as the technical documentation and reference document for the data, methods, and analytic approach used in the analysis of national exposures to infrastructure from natural disaster
Biclustering is a data-mining technique that allows simultaneous clustering of rows and columns within a matrix. This book focuses on biclustering as an unsupervised learning method for high-dimension
More than just a simple replacement for XML when you make an AJAX call, JSON is becoming the backbone of any serious data interchange over the Internet. This practical book shows web architects and de
Household survey data are very useful for monitoring living conditions of citizens of any country. In developing countries, a lot of this data are collected through “traditional” face-to-face househol
This book constitutes the thoroughly refereed post-workshop proceedings at PAKDD Workshops 2016, held in conjunction with PAKDD, the 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining
This novel, interdisciplinary text achieves an integration of empirical data and theory with the aid of mathematical models and statistical methods. The emphasis throughout is on spatial ecology and e
This novel, interdisciplinary text achieves an integration of empirical data and theory with the aid of mathematical models and statistical methods. The emphasis throughout is on spatial ecology and e
This monograph deals with the mathematics of extending given partial data-sets obtained from experiments; Experimentalists frequently gather spectral data when the observed data is limited, e.g., by t
This is the only complete guide and deployment reference for building flexible data center network fabrics with VXLAN and BGP-EVPN technologies. Authored by world-renowned Cisco experts and CiscoLive
The shrine of Ali Hajveri (known as Data Ganj Bakhsh) in Lahore, Pakistan, is one of the South Asias most important Sufi sites. Based on original material gathered by the author, the book gives an acc
In the fourth DATA Set adventure, the DATA Set race to deprogram an army of robots before they take over Newtonberg Elementary School.One morning, Mrs. Bell, the science teacher, challenges the studen
We will have to look at the data. As this quote hit the airwaves it was said to sum up England's backward and stuttering performance at the 2015 World Cup. It didn't matter that Peter Moores, the coac
Social media sites generate massive volumes of natural language data that are available for social science research. But social scientists have struggled to take advantage of "big data", and
This brief explores two of the main challenges of spatial network data analysis: the many connected components in the spatial network and the many candidates that have to be processed. Within this boo
Advance your skills in efficient data analysis and data processing using the powerful tools of Scala, Spark, and Hadoop About This Book * This is a primer on functional-programming-style techniques to
This book constitutes the refereed proceedings of the two International Workshops on Big-Graphs Online Querying, Big-O(Q) 2015, and Data Management and Analytics for Medicine and Healthcare, DMAH 2015
Visual Six Sigma Second Edition will include a new chapter on data quality and its preparation for analysis, which is perhaps the greatest challenge to analysts. It consists of six case studies that w
This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well
This book provides a systematic and comparative description of the vast number of research issues related to the quality of data and information. It does so by delivering a sound, integrated and
This book explores the power of greater openness, accountability, and transparency in digital information and government data for the nations of Southeast Asia. The author demonstrates that, although
This book demonstrates the inevitability of a continuously growing role of data in our society and it stresses that this role does not need to be threatening: to the contrary, collection and analysis
This book introduces 10 mega business trends, ranging from big data to the O2O model. By mining and analyzing mountains of data, the author identifies these 10 emerging trends and goes to great length
As all scholars increasingly use digital tools to support their research, and every internet user becomes used to data being available, elucidating, and engaging, the creative aspects of Digital Human
