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.
The objective of the book is to make a comprehensive documentation of the observed variability and change of the regional climate system over the Indian region using the past observed data. The book a
Most environmental data involve a large degree of complexity and uncertainty. Environmental Data Analysis is created to provide modern quantitative tools and techniques designed specifically to meet t
This book addresses the evaluation and optimization of key elements in concentrating solar thermal (CST) technologies, such as solar receivers and working fluids, using computational fluid dynamics (C
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
This volume presents an innovative study of the rise of unmarried cohabitation in the Americas, from Canada to Argentina. Using an extensive sample of individual census data for nearly all countries o
Learn to treat pain naturally using evidence-based therapies with Micozzi's Common Pain Conditions: A Clinical Guide to Natural Treatments. This groundbreaking title provides in-depth information on c
Predictive Modeling of Drug Sensitivity gives an overview of drug sensitivity modeling for personalized medicine that includes data characterizations, modeling techniques, applications, and research c
This monograph explores Intrabody communication (IBC) as a novel non-RF wireless data communication technique using the human body itself as the communication channel or transmission medium. In partic
Computer-aided design (CAD) is the dominant design and drawing tool used in architecture, and all students need to acquire basic skills in using it. This book explains the key CAD skills required to c
The a€?archaeology of the bodya€? has recently emerged as one of the most promising new fields in archaeology, using a fresh approach to look at archaeological data from a different angle and interpre
This textbook for courses on function data analysis and shape data analysis describes how to define, compare, and mathematically represent shapes, with a focus on statistical modeling and inference. I
This book introduces the reader to a new method of data assimilation with deterministic constraints (exact satisfaction of dynamic constraints)—an optimal assimilation strategy called Forecast Sensiti
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
Compressive sensing is a powerful tool that enables data reconstructions using fewer measurements than traditional approaches, and is now being applied to optical signaling and image acquisition for i
Toronto homicide detectives Pratt and Ellis are brought in to investigate a series of hit-and-runs. Someone seems to be trying to kill random people using stolen cars. The detectives try to find any c
Big data is ubiquitous but heterogeneous. Big data can be used to tally clicks and traffic on web pages, find patterns in stock trades, track consumer preferences, identi
Big data is ubiquitous but heterogeneous. Big data can be used to tally clicks and traffic on web pages, find patterns in stock trades, track consumer preferences, identi
This monograph deals with mathematical constructions that are foundational in such an important area of data mining as pattern recognition. By using combinatorial and graph theoretic techniques, a clo
The fourth edition of this popular steel structures book contains references to both Eurocodes and British Standards. New and revised examples are included, and sections on the meaning, purpose, and l
Brilliant, quirky twenty-three-year-old China Mack is totally satisfied with her carefully ordered, data-driven life. A computer prodigy who landed a coveted programming job at the cutting-edge tech c
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
The statics and mechanics of structures form a core aspect of civil engineering. This book provides an introduction to the subject, starting from classic hand-calculation types of analysis and gradual
The book is both a continuation of "Widespread Idioms in Europe and Beyond" (2012) and differs from it by new insights into the similarities of the European languages. Using comprehensive data from 77
Introduce the concept of teacher voice much like I did with student voice providing a grounded theoretical model (using my previous work as a base), infused with data from the National Teacher Voice R
Selected and edited from a conference held in Siena, Italy, 47 papers discuss advanced types of structures based on new design concepts, emphasizing intelligent structures and materials. The topics
This volume examines the economic, social, and psychological consequences of manufacturing plant closure at the individual level. Using an original data set of over 1,200 workers from Switzerland who
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
This book offers a range of views on spolia and appropriation in art and architecture from fourth-century Rome to the late twentieth century. Using case studies from different historical moments and c
This ground-breaking book takes an interdisciplinary approach to language, religion and media using an audience-response study. In this book, the author investigates how the three Abrahamic faiths - C
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
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
What exactly is data science? With this book, you’ll gain a clear understanding of this discipline for discovering natural laws in the structure of data. Along the way, you’ll learn how to use the ver
This book is a course to help beginning data scientists become productive members of data science and analytics teams, and to help engineers, analysts, and data scientists work with big data in an agi
