Python Data Science Handbook provides a reference to the solutions of commonly seen computational problems for both traditional and data scientists who use Python to enable their research. These scie
The EU's General Data Protection Regulation created the position of corporate Data Protection Officer (DPO), who is empowered to ensure the organization is compliant with all aspects of the new data p
This updated edition of Archaeological Research introduces the basic methods of archaeological research, including data collection, analysis, interpretation, as well as a consideration of the state of
"This book deals with the spatial concepts of Lithuania and other geo-images that either 'competed' in the nineteenth century with the term Lithuania or were of a different taxonomic level (Samogitia,
Guiding chromatographers working in regulated industries and helping them to validate their chromatography data systems to meet data integrity, business and regulatory needs. This book is a detailed l
This guide for practicing statisticians, data scientists, and R users and programmers will teach the essentials of preprocessing: data leveraging the R programming language to easily and quickly turn
While laboratory research is the backbone of collecting experimental data in cognitive science, a rapidly increasing amount of research is now capitalizing on large-scale and real-world digital data.
This textbook helps future data analysts comprehend aggregation function theory and methods in an accessible way, focusing on a fundamental understanding of the data and summarization tools. Offering
Big Mechanisms in Systems Biology: Big Data Mining, Network Modeling, and Genome-Wide Data Identification explains big mechanisms of systems biology by system identification and big data mining method
Data Management will guide readers through data management basics and best practices following through the data lifecycle. Guidance for starting and growing a data management service includes suggesti
During the last two decades, structural equation modelling (SEM) has emerged as a powerful multivariate data analysis tool in social science research settings, especially in the fields of sociology, p
This book deals with the feasibility analysis of market-oriented Higher Education Institutions based on the data of international field survey. The topics under examinations require the use of qualita
"Essentials of Applied Econometrics gives students and professionals the tools they need to do econometric analysis in a world in which more data surround us every day and in which econometrics is put
This book is aimed at all those who wish to discover how to analyze categorical data without getting immersed in complicated mathematics and without needing to wade through a large amount of prose. It
Optical Interconnects For Data Centers explains the latest information available on current data center networks based on electronic packet switches and how they are experiencing an exponential increa
Published annually, this 25th edition brings together a unique combination of the latest data on, and detailed analysis of, a vast region. Scrupulously updated by Europa’s experienced editors, the vol
This book provides recent advances in analysis and synthesis of Large-scale network systems (LSNSs) with sampled-data communication and non-identical nodes. In its first chapter of the book presents a
Each chapter in this book makes a unique contribution to the body of the literature and enhances the understanding of spatial ability and its influence on learning in the STEM disciplines. It addresse
The purpose of this book is to define a broad spectrum of statistical linear models that is useful in the analysis of data. Considered a "classic" for years, the material in this book is now
This book focuses on the methodology and analysis of state and local population projections. It describes the most commonly used data sources and application techniques for four types of projection me
This book reviews forecasting data mining models, from basic tools for stable data through causal models, to more advanced models using trends and cycles. These models are demonstrated on the basis of
Equal parts mail art, data visualization, and affectionate correspondence, Dear Data celebrates "the infinitesimal, incomplete, imperfect, yet exquisitely human details of life," in the words of Maria
Gunilla Eriksson revises our perception of intelligence as carefully collected data and objective truth, arguing that there are hidden aspects to intelligence analysis that need to be uncovered and cr
This guide helps researchers publish medical papers, focusing on clinical research. It outlines 256 key principles for planning, data collection and analysis, writing, editing, and revising, based on
Philipp Meisen introduces a model, a query language, and a similarity measure enabling users to analyze time interval data. The introduced tools are combined to design and realize an information syste
Isotope Geochemistry: The Origin and Formation of Manganese Rocks and Ores is an inclusive reference that features a wealth of supporting data, analysis, and interpretation on global manganese origins
This book teaches time series and forecasting methods with an emphasis on the fundamentals of data set analysis. It is designed for use in a full-year introduction to univariate and multivariate time
Data mining is an increasingly valuable tool within the institution of higher education. Educational Data Mining (EDM) has emerged as a field in its own right, focusing on data mining techniques
This book introduces fundamentals and trade-offs of data de-duplication techniques. It describes novel emerging de-duplication techniques that remove duplicate data both in storage and network in an e
Generating data is the defining aspect of empirical work. Data in this respect is understood as information-capacitated material that must be discovered, mined, unearthed - or a near limitless range o
Real-world cost-of-capital data from across industries and around the globeThe 2016 International Valuation Handbook – Industry Cost of Capital offers the same type of rigorous industry-level analysis
It’s a manager’s job to make the tough calls, but the hardest part of being a manager is resolving those ?gray areas”?situations where analysis of the numbers, facts, and data fails to provide a clear
Seven of the eleven papers in this collection explain how to estimate discrete dependent variables with spatial dependence using maximum likelihood and how to estimate binary and count dependent va
Jews and the American Religious Landscape explores major, complementary facets of American Judaism and Jewish life through a comprehensive analysis of contemporary demographic data. Focusing on the mo
This book discusses data privacy in banking and financial services, anonymization principles and practice, test data management, and synthetic data generation. From a practice standpoint, it provides
This book offers a new framework that facilitates the development of more intelligent systems and methods for data analysis and international information sharing, such as the use of satellite imaging
The Data and Analytics Playbook: Proven Methods for Governed Data and Analytic Quality explores the way in which data continues to dominate budgets, along with the varying efforts made across a variet
Master how to use the Julia language to solve business critical data science challenges. After covering the importance of Julia to the data science community and several essential data science princip
