Data Structures Using 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

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

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 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.

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.

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

Cartography is a research program within syntactic theory that studies the syntactic structures of a particular language in order to better understand the semantic issues at play in that language. The

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 a comprehensive introduction to financial modeling that teaches advanced undergraduate and graduate students in finance and economics how to use R to analyze financial data and implement

Catalysis by Materials with Well-Defined Structures examines the latest developments in the use of model systems in fundamental catalytic science. A team of prominent experts provides authoritative, f

Crisis, Credibility and Corporate History aims to describe current expectations and strategies held within companies, within academia and amongst the general public for using a company's history for c

To facilitate a deeper understanding of tensegrity structures, this book focuses on their two key design problems: self-equilibrium analysis and stability investigation. In particular, high symmetry p

This book focuses on the application of mathematics to chemical engineering and addresses the setup and verification of mathematical models using experimental or other independently derived data. An e

This book provides a comprehensive overview of thin film structures in energy applications. Each chapter contains both fundamentals principles for each thin film structure as well as the relevant ener

Functional data is data in the form of curves that is becoming a popular method for interpreting scientific data. Statistical Analysis of Functional Data provides an authoritative account of function

Comprehensively covers new and existing methods for the design and analysis of composites structures with damage present Provides efficient and accurate approaches for analysing structures with holes

Language, Corpus and Empowerment applies a novel corpus-driven approach to the exploration of the concept of empowerment in healthcare. Using data from a video intervention delivered to families of de

White Backlash provides an authoritative assessment of how immigration is reshaping the politics of the nation. Using an array of data and analysis, Marisa Abrajano and Zoltan Hajnal show that fears a

This book focuses on the basic concepts and the related technologies of data mining for social medial. Topics include: big data and social data, data mining for making a hypothesis, multivariate analy

Using modern biology and history to investigate a series of grisly deaths in the countryside of 18th-century France.Something unimaginable occurred from 1764 to 1767 in the remote highlands of south-c

In this widely popular resource, pre- and in-service speech and language pathologists focus on the process of clinical diagnosis and evaluation in action, using the IEP as an illustrative tool. Each c

Dowling, an SAP Project System consultant and software designer, explains how to create and edit projects and manage project data using SAP (Systems Applications and Products) Project Builder in SAP P

In the big data era, data storage is one of the cores in the whole information chain, which includes production, transfer, sharing, and finally processing. Over the years, the growth of data volume ha

"Data are generated at an exponential rate all over the world. Through advanced algorithms and analytics techniques, organizations can harness this data, discover hidden patterns, and use the findings

The lack of comfort that many educators have in working with data poses a great challenge as school districts make the transition from a data rich to an information rich environment. Data literacy is

Building upon the photonics knowledge based formed in Volume One, Volume Two focuses on nanophotonic structures and materials. The volume addresses cavity photonics, cold atoms and Bose-Einstein conde

Using rare interviews with former inmates and workers, institutional documentation, and governmental archives, Claudia Malacrida illuminates the dark history of the treatment of “mentally defective” c

You can collect all the consumer data in the world, but it's not worth much if you aren't using it to move your business forward.Today, marketers and advertisers can do so much more than launch campai

Understanding the structural unit of crystalline solids is vital in determining their optical and electronic properties. However, the disordered nature of amorphous semiconductors, where no long-range order is retained, makes it difficult to determine their structure using traditional methods. This book shows how computer modelling can be used to overcome the difficulties that arise in the atomic scale identification of amorphous semiconductors. The book explains how to generate a random structure using computer modelling, providing readers with the techniques to construct realistic material structures. It shows how the optical and electronic properties are related to random structures. Readers will be able to understand the characteristic features of disordered semiconductors. The structural and electronic modifications by photon irradiation are also discussed in detail. This book is ideal for both physicists and engineers working in solid state physics, semiconductor engineering and