Data Structures Using C

The analysis of protein-protein interactions is fundamental to the understanding of cellular organization, processes, and functions. Proteins seldom act as single isolated species; rather, proteins involved in the same cellular processes often interact with each other. Functions of uncharacterized proteins can be predicted through comparison with the interactions of similar known proteins. Recent large-scale investigations of protein-protein interactions using such techniques as two-hybrid systems, mass spectrometry, and protein microarrays have enriched the available protein interaction data and facilitated the construction of integrated protein-protein interaction networks. The resulting large volume of protein-protein interaction data has posed a challenge to experimental investigation. This book provides a comprehensive understanding of the computational methods available for the analysis of protein-protein interaction networks. It offers an in-depth survey of a range of approaches

As it takes us on a tour of some of the most unique and beautiful structures, this book shows how the purpose of each structure dictated its design, or location. Here are soaring glass skyscrapers (fo

The study of discrete structures and networks becomes more and more important in decision theory. A relevant topic in modern control theory reflecting this fact is concerned with multiobjective contro

Identifying some of the most influential algorithms that are widely used in the data mining community, The Top Ten Algorithms in Data Mining provides a description of each algorithm, discusses its imp

The authors have consolidated their research work in this volume titled Soft Computing for Data Mining Applications. The monograph gives an insight into the research in the fields of Data Mining in co

Drawing on 28 original essays, A Companion to the Early Middle Ages takes an inclusive approach to the history of Britain and Ireland from c.500 to c.1100 to overcome artificial distinctions of modern

Data flow analysis is used to discover information for a wide variety of useful applications, ranging from compiler optimizations to software engineering and verification. Modern compilers apply it to

Business intelligence is a broad category of applications and technologies for gathering, providing access to, and analyzing data for the purpose of helping enterprise users make better business decis

Tensile surface structures are the visual expression of an intensive rethinking of the topic of building envelopes by designers. Advances in design methods, materials, construction elements and assemb

An interdisciplinary approach to one of the hottest topics in nanotechnology and nanoscience Biosensing Using Nanomaterials introduces novel concepts in the area of bioanalysis based on nanomaterials

Focusing on the practical clinical and statistical issues that arise in pharmaceutical industry trials, this book summarizes the author’s experience in serving on many data monitoring committees (DMCs

A bestseller for nearly 25 years, Analysis of Messy Data, Volume 1: Designed Experiments helps applied statisticians and researchers analyze the kinds of data sets encountered in the real world. Writt

This book focuses on the nature and characteristics of open source geospatial (OSG) software. The role of OSG approaches in spatial data handling is the cross-cutting theme of the book. Various sub-th

This book is a data book for atomic and plasma physicists. Numerical data are given for atoms, atomic processes and atomic systems along with basic concepts and simple models for atomic physics of thi

Riemannian Topology and Structures on Manifolds results from a similarly entitled conference held on the occasion of Charles P. Boyer's 65th birthday. The various contributions to this volume discuss

Berka (University of Economics, Czech Republic) collects case studies in which advanced data mining and knowledge management solutions are used in biomedical research. Material in the first section, o

The aim of this book is to gather the most recent works that address issues related to the concept of mining complex data. The whole knowledge discovery process being involved, our goal is to provide

The Green and Virtual Data Center sets aside the political aspects of what is or is not considered green to instead focus on the opportunities for organizations that want to sustain environmentally-fr

A toolkit for giving our historic built environment a second life Conservation of our existing structures has obvious economic and social value. Moreover, historic structures provide an excellent lab

The BUGS (Bayesian inference Using Gibbs Sampling) project is concerned with free, flexible software for the Bayesian analysis of complex statistical models using Markov Chain Monte Carlo (MCMC) meth

The Northern Lands: Germanic Europe, c.1270-c.1500 explores the unique regional identity that developed in the lands bordering the Baltic and North Seas during Europe's late medieval period. Offers an

Data Mining for Design and Marketing shows how to design and integrate data mining tools into human thinking processes in order to make better business decisions, especially in designing and marketing

This volume includes the proceedings of the NATO Advanced Research Workshop held in Tallinn, Estonia, June 27-July 1, 2005 entitled Data Fusion Technologies for Harbour Protection. The aim of the ARW

The field of plant taxonomy has transformed rapidly over the past fifteen years, especially with regard to improvements in cladistic analysis and the use of new molecular data. The second edition of t

The growing flood of new experimental data generated by genome sequencing has provided an impetus for the development of automated methods for predicting the functions of proteins that have been deduc

Dr Cohn provides an in-depth and comprehensive analysis of the economic history of European immigration to the antebellum United States, using and evaluating the available data as well as presenting fresh data. This analysis centers on immigration from the three most important source countries - Ireland, Germany, and Great Britain - and examines the volume of immigration, how many individuals came from each country during the antebellum period, and why those numbers increased. The book also analyzes where they came from within each country; who chose to immigrate; the immigrants' trip to the United States, including estimates of mortality on the Atlantic crossing; the jobs obtained in the United States by the immigrants, along with their geographic location; and the economic effects of immigration on both the immigrants and the antebellum United States. No other book examines so many different economic aspects of antebellum immigration.

Collecting the latest developments in the field, Multimedia Data Mining: A Systematic Introduction to Concepts and Theory defines multimedia data mining, its theory, and its applications. Two of the m

This book is a monograph on unitals embedded in finite projective planes. Unitals are key structures in projective planes, and have connections with other structures in algebra. They play a significa

Multivariate analysis is a mainstay of statistical tools in the analysis of biomedical data. It concerns with associating data matrices of n rows by p columns, with rows representing samples (or pati

This book and companion DVD provide a comprehensive set of modeling methods for data and uncertainty analysis, taking readers beyond mainstream methods described in standard texts. The emphasis throu

Education has fought long and hard to gain acceptance as a profession and, since professionals by definition use data to shape the decisions they make, education has little choice but to continue movi

The book presents an updated state-of-the-art overview of the general aspects and practical applications of the theories of thin structures, through the interaction of several topics, ranging from non

The updated edition of this classic text introduces a range of techniques for exploring quantitative data. Beginning with an emphasis on descriptive statistics and graphical approaches, it moves on in

Based around eleven international real life case studies and including contributions from leading experts in the field this groundbreaking book explores the need for the grid-enabling of data mining a

This book brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases. It consolidates both introductory and advanced top

Data Mining and Applications in Genomics contains the data mining algorithms and their applications in genomics, with frontier case studies based on the recent and current works at the University of H

Data Mining for Business Applications presents the state-of-the-art research and development outcomes on methodologies, techniques, approaches and successful applications in the area. The contributio

This book brings together aspects of statistics and machine learning to provide a comprehensive guide to evaluating, interpreting and understanding biometric data. This professional book naturally le

Advances in Computational Algorithms and Data Analysis offers state of the art tremendous advances in computational algorithms and data analysis. The selected articles are representative in the

As a businessperson, you probably have more data available than ever before. For many, more data just fuels the fire of their love/hate relationship with it. You love it when it gives you good informa