Pattern Classification Using Ensemble Methods

The increased and widespread availability of large network data resources in recent years has resulted in a growing need for effective methods for their analysis. The challenge is to detect patterns that provide a better understanding of the data. However, this is not a straightforward task because of the size of the data sets and the computer power required for the analysis. The solution is to devise methods for approximately answering the questions posed, and these methods will vary depending on the data sets under scrutiny. This cutting-edge text introduces biological concepts and biotechnologies producing the data, graph and network theory, cluster analysis and machine learning, before discussing the thought processes and creativity involved in the analysis of large-scale biological and medical data sets, using a wide range of real-life examples. Bringing together leading experts, this text provides an ideal introduction to and insight into the interdisciplinary field of network da

From editors David Joy and Eric Rickstad comes Gather at the River, an anthology of twenty-five remarkable essays on fishing from an ensemble of contemporary authors. Their experiences explore th

This detailed volume focuses on recent technological, computational, and biostatistical advances in the field of high-throughput metabolomics. Chapters encompass methods, platforms, and analytical str

Written by an interdisciplinary team of global experts covering diverse research methods - including research design, research tools, and statistical techniques - this volume focuses on advanced research methods for anyone working in the social and behavioral sciences. The information needed to perform research in the laboratory, the field, or online is mapped out to provide specific applications and tools in applying each method. The issues surrounding reliability, validity, and obtaining consent are explained alongside detailed descriptions of the impact of pre-knowledge on participant behavior, the ways that researchers unintentionally influence participants, and tips on administering suspicion probes and debriefings. The book then lays out bio-physiological measures, eye-tracking methods and technologies, the construction of questionnaires, and reaction-time methodologies without assuming too much prior knowledge. The basics of Bayesian analysis, item response analysis, social netw

Written by an interdisciplinary team of global experts covering diverse research methods - including research design, research tools, and statistical techniques - this volume focuses on advanced research methods for anyone working in the social and behavioral sciences. The information needed to perform research in the laboratory, the field, or online is mapped out to provide specific applications and tools in applying each method. The issues surrounding reliability, validity, and obtaining consent are explained alongside detailed descriptions of the impact of pre-knowledge on participant behavior, the ways that researchers unintentionally influence participants, and tips on administering suspicion probes and debriefings. The book then lays out bio-physiological measures, eye-tracking methods and technologies, the construction of questionnaires, and reaction-time methodologies without assuming too much prior knowledge. The basics of Bayesian analysis, item response analysis, social netw

This is the first book that examines the diverse range of experimental methods currently being used in the social sciences, gathering contributions by working economists engaged in experimentation, as

Designed for engineers, mathematicians, computer scientists, financial analysts, and anyone interested in using numerical linear algebra, matrix theory, and vector calculus concepts to maximize effici

By the award-winning former president of the Linguistic Society of America, this collection of some of John Russell Rickford's pioneering works shows how linguists in sociolinguistics and creole studies can benefit from utilizing data, theories and methods from each other, as they more frequently did in the 1960s and 1970s, when both subfields, in their modern forms at least, were getting started. The volume addresses fundamental sociolinguistic topics such as social class, style, fieldwork, speech community, sociolinguistic competence and language attitudes with data from Guyanese and other Caribbean creoles. Recurrent concepts are also considered including language versatility, variation and change, vernacular use, school success and criminal justice in African America and the Caribbean, using models, case studies and methodologies from sociolinguistics. Theoretical and applied scholars, students apprehensive about sociolinguistic fieldwork, and those considering dynamic methods like

This book presents a quantitative history of constitutional law in the United States and brings together humanistic and social-scientific approaches to studying law. Using theoretical models of adjudication, Tom S. Clark presents a statistical model of law and uses the model to document the historical development of constitutional law. Using sophisticated statistical methods and historical analysis of court decisions, the author documents how social and political forces shape the path of law. Spanning the history of constitutional law since Reconstruction, this book illustrates the way in which the law evolves with American life and argues that a social-scientific approach to the history of law illuminates connections across disparate areas of the law, connected by the social context in which the Constitution has been interpreted.

In a world in which many photographers seek to avoid definition, Roger Ballen’s photographs define themselves in their defiance of classification and genre: his world stands out as one of a kind. The

Accessible introduction to the biology, life cycle, natural history, and classification of mothsMoths are a crucial insect group encompassing more than 160,000 species, and they are among the most anc

A hands-on guide to using Excel in the business context First published in 2012, Using Excel for Business and Financial Modelling contains step-by-step instructions of how to solve common business pro

Multi-dimensional Analysis: Research Methods and Current Issues provides a comprehensive guide both to the statistical methods in Multi-dimensional Analysis (MDA) and its key elements, such as corpus

#1 New York Times bestselling author Robyn Carr creates an uplifting ensemble of characters in this rags-to-riches-to-rags novel about women, friendship and the complex path to happinessIn the afterma

Practical Research Methods in Education is a hands-on guide which critically explores and scrutinizes research methods used in educational enquiry. Drawing on the research, practical experience and re

This volume presents modern and enhanced methods that detail techniques to perform proteomics analyses dedicated to biomarker discovery for human health. Chapters guide readers through pre/post analyt

An introduction to the theory and methods of empirical asset pricing, integrating classical foundations with recent developments.This book offers a comprehensive advanced introduction to asset pricing

This volume aims to provide clear and detailed methods to probe glutamate receptor function. Chapters in this book feature methods to study synaptic ultrastructure, receptor dynamics/receptor interact

Self-driving cars, natural language recognition, and online recommendation engines are all possible thanks to Machine Learning. Now you can create your own genetic algorithms, nature-inspired swarms, Monte Carlo simulations, cellular automata, and clusters. Learn how to test your ML code and dive into even more advanced topics. If you are a beginner-to-intermediate programmer keen to understand machine learning, this book is for you.Discover machine learning algorithms using a handful of self-contained recipes. Build a repertoire of algorithms, discovering terms and approaches that apply generally. Bake intelligence into your algorithms, guiding them to discover good solutions to problems.In this book, you will:Use heuristics and design fitness functions.Build genetic algorithms.Make nature-inspired swarms with ants, bees and particles.Create Monte Carlo simulations.Investigate cellular automata.Find minima and maxima, using hill climbing and simulated annealing.Try selection methods,

Statistics: Principles and Methods, 8th Edition provides students and business professionals with a comprehensive introduction to statistics concepts, terminology, and methods with a wide array of pra

Written in an easy-to-understand manner, this comprehensive textbook brings together both basic and advanced concepts of numerical methods in a single volume. Important topics including error analysis, nonlinear equations, systems of linear equations, interpolation and interpolation for Equal intervals and bivariate interpolation are discussed comprehensively. The textbook is written to cater to the needs of undergraduate students of mathematics, computer science, mechanical engineering, civil engineering and information technology for a course on numerical methods/numerical analysis. The text simplifies the understanding of the concepts through exercises and practical examples. Pedagogical features including solved examples and unsolved exercises are interspersed throughout the book for better understanding.

Written in lucid language, this valuable textbook brings together fundamental concepts of data mining and data warehousing in a single volume. Important topics including information theory, decision tree, Naïve Bayes classifier, distance metrics, partitioning clustering, associate mining, data marts and operational data store are discussed comprehensively. The textbook is written to cater to the needs of undergraduate students of computer science, engineering and information technology for a course on data mining and data warehousing. The text simplifies the understanding of the concepts through exercises and practical examples. Chapters such as classification, associate mining and cluster analysis are discussed in detail with their practical implementation using Weka and R language data mining tools. Advanced topics including big data analytics, relational data models and NoSQL are discussed in detail. Pedagogical features including unsolved problems and multiple-choice questions are

Solve your AI and machine learning problems using complete and real-world code examples. Using a problem-solution approach, this book makes deep learning and machine learning accessible to everyday de

For introductory courses in IS (information systems) and MIS (management information systems). Mastering an essential business course Engaging and comprehensive, Using MIS helps students understan

For courses in Introductory Statistics. Encourages statistical thinking using technology, innovative methods, and a sense of humor Inspired by the 2016 GAISE Report revision, Stats: Data and Models, 5th Edition by De Veaux/Velleman/Bock uses innovative strategies to help students think critically about data — while maintaining the book’s core concepts, coverage, and most importantly, readability.By using technology and simulations to demonstrate variability at critical points throughout the course, the authors make it easier for instructors to teach and for students to understand more complicated statistical concepts later in the course (such as the Central Limit Theorem). In addition, students get more exposure to large data sets and multivariate thinking, which better prepares them to be critical consumers of statistics in the 21st century. The 5th Edition’s approach to teaching Stats: Data and Models is revolutionary, yet it retains the book's lively tone

Practitioners are experts in their field and this book introduces research methods that help to make that expertise explicit. There is worldwide recognition of the importance of high quality, reflect

Practitioners are experts in their field and this book introduces research methods that help to make that expertise explicit. There is worldwide recognition of the importance of high quality, reflect

The main purpose of this book is to create a plain-language, hands-on approach to how to understand and apply the World Health Organization’s International Classification of Functioning, Disability an

Terrestrial Earthworms (Oligochaeta: Opisthopora) of China summarizes the results of the classification of terrestrial earthworms in China and provides detailed and authoritative information. The cont

This volume looks at the study of oligodendrocytes through in vitro and in vivo techniques, multiple model organisms, using approaches that bridge scales from molecular through system. Chapters in thi

Business Research Methods is the complete introduction to doing business research and an ideal guide for students embarking on a research project. Developed specifically with business and management

Both comprehensive and clear, Research Methods for the Behavioral Sciences, Third Edition by author Gregory J. Privitera employs a problem-focused approach to introduce research methods. A conversatio

The third edition of this book provides a large number of laboratory protocols that are intended for basic and clinical bone researchers. Chapters are organized into five parts covering methods for is

This book details sorghum breeding technologies, grain compounds, nutrition and digestibility, biotechnology methods, broad renewable applications and an economic study. Chapters are divided int

This concise text introduces students to the fundamental methodologies of research in criminology and criminal justice, with an emphasis on the application of research methods directly relevant to the

Real Research: Research Methods Sociology Students Can Use is an undergraduate research methods text with two distinct features. First, the book is set up to allow allows students to be

Preprocessing, or data reduction, is a standard technique for simplifying and speeding up computation. Written by a team of experts in the field, this book introduces a rapidly developing area of preprocessing analysis known as kernelization. The authors provide an overview of basic methods and important results, with accessible explanations of the most recent advances in the area, such as meta-kernelization, representative sets, polynomial lower bounds, and lossy kernelization. The text is divided into four parts, which cover the different theoretical aspects of the area: upper bounds, meta-theorems, lower bounds, and beyond kernelization. The methods are demonstrated through extensive examples using a single data set. Written to be self-contained, the book only requires a basic background in algorithmics and will be of use to professionals, researchers and graduate students in theoretical computer science, optimization, combinatorics, and related fields.

The methods described in the second edition on Legionella are for the study of distinct features of L. pneumophila. Chapters guide readers through ecology and physiology of legionella, legionell

Business Research Methods will show your students how to undertake all parts of their research through this clear structured guide. Christina Quinlan's qualitative and holistic approaches are combined

This book highlights new methods, algorithms and software for the digital processing and recovery of signals. In addition, it describes a new method for modeling one dimensional and multidimensional s