Data Structures Using C

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 practical business analytics in sport book provides students and industry leaders with innovative strategies to collect data and convert it into meaningful information that enables sport business

Specifically intended for lab-based biomedical researchers, this practical guide shows how to design experiments that are reproducible, with low bias, high precision, and widely applicable results. With specific examples from research using both cell cultures and model organisms, it explores key ideas in experimental design, assesses common designs, and shows how to plan a successful experiment. It demonstrates how to control biological and technical factors that can introduce bias or add noise, and covers rarely discussed topics such as graphical data exploration, choosing outcome variables, data quality control checks, and data pre-processing. It also shows how to use R for analysis, and is designed for those with no prior experience. An accompanying website (https://stanlazic.github.io/EDLB.html) includes all R code, data sets, and the labstats R package. This is an ideal guide for anyone conducting lab-based biological research, from students to principle investigators working in e

Specifically intended for lab-based biomedical researchers, this practical guide shows how to design experiments that are reproducible, with low bias, high precision, and widely applicable results. With specific examples from research using both cell cultures and model organisms, it explores key ideas in experimental design, assesses common designs, and shows how to plan a successful experiment. It demonstrates how to control biological and technical factors that can introduce bias or add noise, and covers rarely discussed topics such as graphical data exploration, choosing outcome variables, data quality control checks, and data pre-processing. It also shows how to use R for analysis, and is designed for those with no prior experience. An accompanying website (https://stanlazic.github.io/EDLB.html) includes all R code, data sets, and the labstats R package. This is an ideal guide for anyone conducting lab-based biological research, from students to principle investigators working in e

Imaging Bacterial Molecules, Structures and Cells, the latest volume in the Methods in Microbiology series, provides comprehensive, cutting-edge reviews of current and emerging technologies in the fie

This book discusses how judges qualify their activities as objective. The data for this project was retrieved from a large sample of cases using Langacker’s methodology. The sample included over a tho

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

Temporal Data Mining via Unsupervised Ensemble Learning provides the principle knowledge of temporal data mining in association with unsupervised ensemble learning, and the fundamental problems of tem

The rapid development of computer and Internet technologies has led the world to the era of Big Data. Big Data technologies are widely used, which has brought unprecedented impacts on traditional indu

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

The papers in this volume present and discuss the frontiers in the mechanics of controlled machines and structures. They are based on papers presented at the International Workshop on Advanced Dynamic

In recent decades, there has been a major shift in the way researchers process and understand scientific data. Digital access to data has revolutionized ways of doing science in the biological and bio

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

In recent decades, there has been a major shift in the way researchers process and understand scientific data. Digital access to data has revolutionized ways of doing science in the biological and bio

This book presents efficient metaheuristic algorithms for optimal design of structures. Many of these algorithms are developed by the author and his colleagues, consisting of Democratic Particle Swarm

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

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

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 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 book introduces the fundamental design concepts of Eurocode 3 for steel structures in building construction, and their practical application. Following a discussion of the basis of design, above

Going beyond performing simple analyses, researchers involved in the highly dynamic field of computational intelligent data analysis design algorithms that solve increasingly complex data problems in

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