Data Structures Using C

This book presents how multimedia data analysis, information retrieval and indexing are central for comprehensive, personalized, adaptive quality care and the prolongation of independent living at hom

A Discovery-Based Approach to Learning about Algebraic StructuresAbstract Algebra: Structures and Applications helps students understand the abstraction of modern algebra. It emphasizes the more gener

While the term Big Data is open to varying interpretation, it is quite clear that the Volume, Velocity, and Variety (3Vs) of data have impacted every aspect of computational science and its applicatio

Football has come to the ancient city of Ankh-Morpork. And now the wizards of Unseen University must win a football match...without using magic. As the match approaches, four lives are entangled and c

Data warehousing is an important topic that is of interest to both the industry and the knowledge engineering research communities. Both data mining and data warehousing technologies have similar obje

High-throughput sequencing has revolutionised the field of biological sequence analysis. Its application has enabled researchers to address important biological questions, often for the first time. This book provides an integrated presentation of the fundamental algorithms and data structures that power modern sequence analysis workflows. The topics covered range from the foundations of biological sequence analysis (alignments and hidden Markov models), to classical index structures (k-mer indexes, suffix arrays and suffix trees), Burrows–Wheeler indexes, graph algorithms and a number of advanced omics applications. The chapters feature numerous examples, algorithm visualisations, exercises and problems, each chosen to reflect the steps of large-scale sequencing projects, including read alignment, variant calling, haplotyping, fragment assembly, alignment-free genome comparison, transcript prediction and analysis of metagenomic samples. Each biological problem is accompanied by precise

Machine Learning Projects for .NET Developers shows you how to build smarter .NET applications that learn from data, using simple algorithms and techniques that can be applied to a wide range of real-

If you're writing applications that move structured data from one place to another, this book is for you. This is especially true if you've been using XML to do the job because it's entirely possible

This book demonstrates how to boil down complex security monitoring and incident response ideas into their most basic elements. Using a data-centric approach, the authors share how to create your own

Zoonotic Viruses of Northern Eurasia: Taxonomy and Ecology provides a review of modern data of the taxonomy, distribution, and ecology of zoonotic viruses in the ecosystems of Northern Eurasia. With c

Data Envelopment Analysis (DEA) is often overlooked in empirical work such as diagnostic tests to determine whether the data conform with technology which, in turn, is important in identifying technic

A comprehensive introduction to statistical methods for data mining and knowledge discovery.Applications of data mining and ‘big data’ increasingly take center stage in our modern, knowledge-driven so

Aim of this book is to provide an account of the structures that are made of functionally graded materials with purpose of customizing the materials with desired purpose. The latter may consist in att

This book is an introduction to financial valuation and financial data analyses using econometric methods. It is intended for advanced finance undergraduates and graduates. Most chapters in the book w

Entity Information Life Cycle for Big Data walks you through the ins and outs of managing entity information so you can successfully achieve master data management (MDM) in the era of big data. This b

One of a series of pocket-sized books that provide a quick reference to development data on different topics, 'The Little Data Book on Private Sector Development 2015' provides data for more than 20 k

Through this book, researchers and students will learn to use R for analysis of large-scale genomic data and how to create routines to automate analytical steps. The philosophy behind the book is to s

?This book explores time use, time policy, well-being andsustainable development using concepts and findings from time policy research,socio-ecological sustainability research, behavioral economics, c

This book presents a comprehensive approach to protecting sensitive information when large data collections are released by their owners. It addresses three key requirements of data privacy: the prote

How can Twitter data be used to study individual-level human behavior and social interaction on a global scale? This book introduces readers to the methods, opportunities, and challenges of using Twitter data to analyze phenomena ranging from the number of people infected by the flu, to national elections, to tomorrow's stock prices. Each chapter, written by leading domain experts in clear and accessible language, takes the reader to the forefront of the newly emerging field of computational social science. An introductory chapter on Twitter data analysis provides an overview of key tools and skills, and gives pointers on how to get started, while the case studies demonstrate shortcomings, limitations, and pitfalls of Twitter data as well as its advantages. The book will be an excellent resource for social science students and researchers wanting to explore the use of online data.

How can Twitter data be used to study individual-level human behavior and social interaction on a global scale? This book introduces readers to the methods, opportunities, and challenges of using Twitter data to analyze phenomena ranging from the number of people infected by the flu, to national elections, to tomorrow's stock prices. Each chapter, written by leading domain experts in clear and accessible language, takes the reader to the forefront of the newly emerging field of computational social science. An introductory chapter on Twitter data analysis provides an overview of key tools and skills, and gives pointers on how to get started, while the case studies demonstrate shortcomings, limitations, and pitfalls of Twitter data as well as its advantages. The book will be an excellent resource for social science students and researchers wanting to explore the use of online data.

Mechanics of Aero-structures is a concise textbook for students of aircraft structures, which covers aircraft loads and maneuvers, torsion and bending of single cell, multi-cell and open thin-walled structures. Static structural stability, energy methods, and aero-elastic instability are discussed. Numerous examples and exercises are included to enhance the students' facility with structural analysis. This textbook is meant for third- and fourth-year undergraduate students in the aerospace and aeronautical engineering programs, and the material included can be covered in a one semester course. A sufficient number of figures are included for the clarity of the subject matter. The book begins with a description of aerodynamic loads to motivate students, and includes an in-depth description of energy methods - an essential topic.

In most modern biomedical research projects, application of high-throughput genomic, proteomic, and transcriptomic experiments has gradually become an inevitable component. Popular technologies include microarray, next generation sequencing, mass spectrometry and proteomics assays. As the technologies have become mature and the price affordable, omics data are rapidly generated, and the problem of information integration and modeling of multi-lab and/or multi-omics data is becoming a growing one in the bioinformatics field. This book provides comprehensive coverage of these topics and will have a long-lasting impact on this evolving subject. Each chapter, written by a leader in the field, introduces state-of-the-art methods to handle information integration, experimental data, and database problems of omics data.

Go Figure! aims to get children back into Maths! Using photos, pictograms, infographics and other data visualisation techniques it explains the key maths principles of number, geometry, statistics, ra

Big Data is the expression of this gigantic mass of information that we are constantly generating at the global level. Now the buzzword "big data" refers to the new data-driven paradigm of business, s

Data Design: Visualising Quantities, Locations, Connections is a highly practical guide to the graphic representation of quantities, locations, connections and other forms of data, founded on solid de

Data Design: Visualising Quantities, Locations, Connections is a highly practical guide to the graphic representation of quantities, locations, connections and other forms of data, founded on solid de

This book describes an exciting new movement using regenerative medicine to treat patients with otolaryngological diseases. The emerging field of regenerative medicine uses tissue engineering, which c

See How Graphics Reveal InformationGraphical Data Analysis with R shows you what information you can gain from graphical displays. The book focuses on why you draw graphics to display data and which g

Composite Magnetoelectrics: Materials, Structures, and Applications gives the reader a summary of the theory behind magnetoelectric phenomena, later introducing magnetoelectric materials and structure

Using qualitative research data on Mexican/Mexican Americans and their historias de exito that center on Mexican centric concepts such as buen trabajador, bien educado, and buena gente, Octavio Piment

Using newly collected and existing data and modern econometric approaches, this book analyses the gender wage gap as well as less explored dimensions of discrimination such as religion, sexual orienta

Rethinking US Education Policy links proposals on educational policy to the need for a new sociopolitical framework that might allow for improved thinking on educational reform. Using research data pr

Robust Methods for Data Reduction gives a non-technical overview of robust data reduction techniques, encouraging the use of these important and useful methods in practical applications. The main area

Reliable data analysis lies at the heart of scientific research, helping you to figure out what your data is really telling you. Yet the analysis of data can be a stumbling block for even the most exp

If you are an aspiring data scientist and you have at least a working knowledge of data analysis and Python, this book will get you started in data science. Data analysts with experience of R or MATLA

Hacking the Electorate is the most comprehensive study to date about the consequences of campaigns using microtargeting databases to mobilize voters in elections. Eitan Hersh follows the trail from data to strategy to outcomes. Hersh argues that most of what campaigns know about voters comes from a core set of public records. States vary in the kinds of records they collect from voters - and these variations in data across the country mean that campaigns perceive voters differently in different areas. Consequently, the strategies of campaigns and the coalitions of voters who are mobilized fluctuate across the country because of the different ways campaigns perceive the electorate. Data policies influence campaigns, voters and, increasingly, public officials.

Hacking the Electorate is the most comprehensive study to date about the consequences of campaigns using microtargeting databases to mobilize voters in elections. Eitan Hersh follows the trail from data to strategy to outcomes. Hersh argues that most of what campaigns know about voters comes from a core set of public records. States vary in the kinds of records they collect from voters - and these variations in data across the country mean that campaigns perceive voters differently in different areas. Consequently, the strategies of campaigns and the coalitions of voters who are mobilized fluctuate across the country because of the different ways campaigns perceive the electorate. Data policies influence campaigns, voters and, increasingly, public officials.

This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issu

this book is the first to examine the English spoken in New York City comprehensively, including pronunciation, grammar, discourse, and lexicon. Using sources from classic studies to original data, Ne