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Linking and Mining Heterogeneous and Multi-view Data (Unsupervised and Semi-Supervised Learning)
by Deepak P Anna Jurek-LoughreyThis book highlights research in linking and mining data from across varied data sources. The authors focus on recent advances in this burgeoning field of multi-source data fusion, with an emphasis on exploratory and unsupervised data analysis, an area of increasing significance with the pace of growth of data vastly outpacing any chance of labeling them manually. The book looks at the underlying algorithms and technologies that facilitate the area within big data analytics, it covers their applications across domains such as smarter transportation, social media, fake news detection and enterprise search among others. This book enables readers to understand a spectrum of advances in this emerging area, and it will hopefully empower them to leverage and develop methods in multi-source data fusion and analytics with applications to a variety of scenarios.Includes advances on unsupervised, semi-supervised and supervised approaches to heterogeneous data linkage and fusion; Covers use cases of analytics over multi-view and heterogeneous data from across a variety of domains such as fake news, smarter transportation and social media, among others;Provides a high-level overview of advances in this emerging field and empowers the reader to explore novel applications and methodologies that would enrich the field.
Intelligent Manufacturing and Energy Sustainability: Proceedings of ICIMES 2023 (Smart Innovation, Systems and Technologies #372)
by P. H. V. Sesha Talpa Sai Srikar Potnuru Mehmet Avcar Vishesh Ranjan KarThis book includes best selected, high-quality research papers presented at the International Conference on Intelligent Manufacturing and Energy Sustainability (ICIMES 2023) held at the Department of Mechanical Engineering, Malla Reddy College of Engineering & Technology (MRCET), Hyderabad, India, during June 23–24, 2023. It covers topics in the areas of automation, manufacturing technology, and energy sustainability and also includes original works in the intelligent systems, manufacturing, mechanical, electrical, aeronautical, materials, automobile, bioenergy, and energy sustainability.
Big Data Analytics: 5th International Conference, BDA 2017, Hyderabad, India, December 12-15, 2017, Proceedings (Lecture Notes in Computer Science #10721)
by P. Krishna Reddy, Ashish Sureka, Sharma Chakravarthy and Subhash BhallaThis book constitutes the refereed conference proceedings of the 5th International Conference on Big Data Analytics, BDA 2017, held in Hyderabad, India, in December 2017. The 21 revised full papers were carefully reviewed and selected from 80 submissions and cover topics on big data analytics, information and knowledge management, mining of massive datasets, computational modeling, data mining and analysis.
Machine Learning and IoT for Intelligent Systems and Smart Applications (Computational Intelligence in Engineering Problem Solving)
by Madhumathy P.The fusion of AI and IoT enables the systems to be predictive, prescriptive, and autonomous, and this convergence has evolved the nature of emerging applications from being assisted to augmented, and ultimately to autonomous intelligence. This book discusses algorithmic applications in the field of machine learning and IoT with pertinent applications. It further discusses challenges and future directions in the machine learning area and develops understanding of its role in technology, in terms of IoT security issues. Pertinent applications described include speech recognition, medical diagnosis, optimizations, predictions, and security aspects. Features: Focuses on algorithmic and practical parts of the artificial intelligence approaches in IoT applications. Discusses supervised and unsupervised machine learning for IoT data and devices. Presents an overview of the different algorithms related to Machine learning and IoT. Covers practical case studies on industrial and smart home automation. Includes implementation of AI from case studies in personal and industrial IoT. This book aims at Researchers and Graduate students in Computer Engineering, Networking Communications, Information Science Engineering, and Electrical Engineering.
Geospatial Analysis with SQL: A hands-on guide to performing geospatial analysis by unlocking the syntax of spatial SQL
by Bonny P McClainLeverage the power of SQL to perform geospatial analysis and increase your speed and efficiency working with a variety of spatial applications such as PostGIS and QGISKey FeaturesFollow along with actionable instructions with this practical guideBecome well-versed in advanced spatial modeling and machine learning techniquesLearn best practices for performing spatial analysis from an expert spatial data analystBook DescriptionGeospatial analysis is used in almost every industry to answer location-related questions. Combined with the power of SQL, which is becoming a popular choice for developers and analysts worldwide, this technology will help you to solve real-world spatial problems easily. This book shows you how to detect and quantify patterns in datasets through data exploration, data visualization, data engineering, and the application of analysis and spatial techniques.You'll begin by exploring the fundamentals of geospatial analysis and understand its importance along with vector and raster models, among other things. You'll then look at the framework for geospatial analysis using SQL and progress through the chapters to create a spatial database and analyze it. In the next part, you'll advance to learning about using SQL functions and building SQL queries.By the end of this book, you'll be able to make the most of open source libraries and frameworks such as PostGIS and QGIS for analyzing spatial information.What you will learnUnderstand geospatial fundamentals as a basis for learning spatial SQLGenerate point, line, and polygon data with SQLCreate geometry objects with WKT, WKB, and GeoJSONUse spatial data types to abstract and encapsulate spatial structuresWork with open source GIS combined with plug-insVisualize spatial data and expand QGIS functionality with PostgresApply location data to leverage spatial analyticsPerform single-layer and multiple-layer spatial analysesWho this book is forThis book is for anyone looking to leverage their SQL knowledge to perform geospatial analysis. GIS analysts, data analysts, and data scientists with a basic understanding of both geospatial analysis and SQL will find this book useful.
Political Internet: State and Politics in the Age of Social Media
by Biju P. R.This book investigates the Internet as a site of political contestation in the Indian context. It widens the scope of the public sphere to social media, and explores its role in shaping the resistance and protest movements on the ground. The volume also explores the role of the Internet, a global technology, in framing debates on the idea of the nation state, especially India, as well as diplomacy and international relations. It also discusses the possibility of whether Internet can be used as a tool for social justice and change, particularly by the underprivileged, to go beyond caste, class, gender and other oppressive social structures. A tract for our times, this book will interest scholars and researchers of politics, media studies, popular culture, sociology, international relations as well as the general reader.
Evolution in Signal Processing and Telecommunication Networks: Proceedings of Sixth International Conference on Microelectronics, Electromagnetics and Telecommunications (ICMEET 2021), Volume 2 (Lecture Notes in Electrical Engineering #839)
by P. Satish Rama Chowdary Jaume Anguera Suresh Chandra Satapathy Vikrant BhatejaThis book discusses the latest developments and outlines future trends in the fields of microelectronics, electromagnetics and telecommunication. It contains original research works presented at the International Conference on Microelectronics, Electromagnetics and Telecommunication (ICMEET 2021), held in Bhubaneswar, Odisha, India during 27–28 August, 2021. The papers were written by scientists, research scholars and practitioners from leading universities, engineering colleges and R&D institutes from all over the world and share the latest breakthroughs in and promising solutions to the most important issues facing today’s society.
Residue Number Systems
by P. V. Ananda MohanThis new and expanded monograph improves upon Mohan's earlier book, Residue Number Systems (Springer, 2002) with a state of the art treatment of the subject. Replete with detailed illustrations and helpful examples, this book covers a host of cutting edge topics such as the core function, the quotient function, new Chinese Remainder theorems, and large integer operations. It also features many significant applications to practical communication systems and cryptography such as FIR filters and elliptic curve cryptography. Starting with a comprehensive introduction to the basics and leading up to current research trends that are not yet widely distributed in other publications, this book will be of interest to both researchers and students alike.
Arto Salomaa: A Thematic Biography
by Jukka PaakkiThis book outlines the scientific career of Arto Salomaa, a pioneer in theoretical computer science and mathematics. The author first interviewed the subject and his family and collaborators, and he then researched this fascinating biography of an intellectual who was key in the development of these fields.Early chapters progress chronologically from Academician Salomaa's origins, childhood, and education to his professional successes in science, teaching, and publishing. His most impactful direct research efforts have been in the areas of automata and formal languages. Beyond that he has influenced many more scientists and professionals through collaborations, teaching, and books on topics such as biocomputing and cryptography. The author offers insights into Finnish history, culture, and academia, while historians of computer science will appreciate the vignettes describing some of the people who have shaped the field from the 1950s to today. The author and his subject return throughout to underlying themes such as the importance of family and the value of longstanding collegial relationships, while the work and achievements are leavened with humor and references to interests such as music, sport, and the sauna.
Dependent, Distracted, Bored: Affective Formations in Networked Media
by Susanna PaasonenA new approach to understanding the culture of ubiquitous connectivity, arguing that our dependence on networked infrastructure does not equal addiction.In this book, Susanna Paasonen takes on a dominant narrative repeated in journalistic and academic accounts for more than a decade: that we are addicted to devices, apps, and sites designed to distract us, that drive us to boredom, with detrimental effect on our capacities to focus, relate, remember, and be. Paasonen argues instead that network connectivity is a matter of infrastructure and necessary for the operations of the everyday. Dependencies on it do not equal addiction but speak to the networks within which our agency can take shape.
Foundation Models for Natural Language Processing: Pre-trained Language Models Integrating Media (Artificial Intelligence: Foundations, Theory, and Algorithms)
by Gerhard Paaß Sven GiesselbachThis open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts. Over the recent years, a revolutionary new paradigm has been developed for training models for NLP. These models are first pre-trained on large collections of text documents to acquire general syntactic knowledge and semantic information. Then, they are fine-tuned for specific tasks, which they can often solve with superhuman accuracy. When the models are large enough, they can be instructed by prompts to solve new tasks without any fine-tuning. Moreover, they can be applied to a wide range of different media and problem domains, ranging from image and video processing to robot control learning. Because they provide a blueprint for solving many tasks in artificial intelligence, they have been called Foundation Models. After a brief introduction to basic NLP models the main pre-trained language models BERT, GPT and sequence-to-sequence transformer are described, as well as the concepts of self-attention and context-sensitive embedding. Then, different approaches to improving these models are discussed, such as expanding the pre-training criteria, increasing the length of input texts, or including extra knowledge. An overview of the best-performing models for about twenty application areas is then presented, e.g., question answering, translation, story generation, dialog systems, generating images from text, etc. For each application area, the strengths and weaknesses of current models are discussed, and an outlook on further developments is given. In addition, links are provided to freely available program code. A concluding chapter summarizes the economic opportunities, mitigation of risks, and potential developments of AI.
Artificial Intelligence: What Is Behind the Technology of the Future?
by Gerhard Paaß Dirk HeckerArtificial Intelligence (AI) is already present in our daily routines, and in the future, we will encounter it in almost every aspect of life – from analyzing X-rays for medical diagnosis, driving autonomous cars, maintaining complex machinery, to drafting essays on environmental problems and drawing imaginative pictures. The potentials of AI are enormous, while at the same time many myths, uncertainties and challenges circulate that need to be tackled. The English translation of the book “Künstliche Intelligenz – Was steckt hinter der Technologie der Zukunft?” originally published in German (Springer Vieweg, 2020), this book is addressed to the general public, from interested citizens to corporate executives who want to develop a better and deeper understanding of AI technologies and assess their consequences. Mathematical basics, terminology, and methods are explained in understandable language. Adaptations to different media such as images, text, and speech and the corresponding generative models are introduced. A concluding discussion of opportunities and challenges helps readers evaluate new developments, demystify them, and assess their relevance for the future.
Künstliche Intelligenz: Was steckt hinter der Technologie der Zukunft?
by Gerhard Paaß Dirk HeckerKünstliche Intelligenz (KI) ist heute schon in unserem Alltag präsent und wird uns zukünftig in nahezu allen Lebensbereichen begegnen – von der bildgestützten Diagnose in der Medizin über das autonome Fahren und die intelligente Maschinenwartung in der Industrie bis hin zur Sprachsteuerung im smarten Zuhause. Die Potenziale der KI sind enorm, gleichzeitig kursieren viele Mythen, Ungewissheiten und Herausforderungen, die es zu meistern gilt. Dieses Buch adressiert daher die breite Öffentlichkeit – von interessierten Bürgerinnen und Bürgern bis hin zur Leitungsebene in Unternehmen, die ein besseres und tieferes technisches Verständnis von KI-Technologien aufbauen und deren Folgen abschätzen möchten.In verständlicher Sprache werden mathematische Grundlagen, Begriffe und Methoden erläutert. Eine abschließende Diskussion der Chancen und Herausforderungen hilft den Leserinnen und Lesern, die Entwicklungen zu bewerten, sie zu entmystifizieren und ihre Relevanz für die Zukunft zu erkennen.
Applied Computer Sciences in Engineering: 5th Workshop on Engineering Applications, WEA 2018, Medellín, Colombia, October 17-19, 2018, Proceedings, Part II (Communications in Computer and Information Science #916)
by Pablo Andres Maya Duque Juan Rafael Orozco-Arroyave Juan G. Villegas Juan Carlos Figueroa-GarcíaThis two-volume set (CCIS 915 and CCIS 916) constitutes the refereed proceedings of the 5th Workshop on Engineering Applications, WEA 2018, held in Medellín, Colombia, in October 2018. The 41 revised full papers presented in this volume were carefully reviewed and selected from 101 submissions. The papers are organized in topical sections such as green logistics and optimization, Internet of Things (IoT), digital signal processing (DSP), network applications, miscellaneous applications.
Best Practices for Teaching with Emerging Technologies (Best Practices in Online Teaching and Learning)
by Michelle Pacansky-BrockAs social media and Web 2.0 technologies continue to transform the learning trends and preferences of students, educators need to understand the applicability of these new tools in all types of learning environments. The second edition of Best Practices for Teaching with Emerging Technologies provides new and experienced instructors with practical examples of how low-cost and free technologies can be used to support student learning as well as best practices for integrating web-based tools into a course management system and managing student privacy in a Web 2.0 environment. "Showcase" spotlights throughout exemplify how the tools described in the book are already being used effectively in educational settings. This thoroughly revised second edition includes: a new chapter that explores how and why faculty are using the public web and open educational resources in place of a learning management system (LMS) and an expensive textbook additional tips and showcases in every chapter that illustrate faculty use of particular technologies the inclusion of new tools to replace technologies that no longer exist a revamped website featuring expanded online resources. This practical, easy-to-use guide will serve the needs of educators seeking to refresh or transform their instruction. Readers will be rewarded with an ample yet manageable collection of proven emerging technologies that can be leveraged for generating content, enhancing communications with and between students, and cultivating participatory, student-centered learning activities.
Instant Android Fragmentation Management How-to
by Gianluca PacchiellaWritten in the easy to understand Packt How-to format, this book offers the solution to the big issues in Android application development. If you want the best possible reviews for your apps, regardless of device or Android operating system, then this book is for you.
Cutaneous Haptic Feedback in Robotic Teleoperation (Springer Series on Touch and Haptic Systems #0)
by Claudio PacchierottiThis work addresses the challenge of providing effective cutaneous haptic feedback in robotic teleoperation, with the objective of achieving the highest degree of transparency whilst guaranteeing the stability of the considered systems. On the one hand, it evaluates teleoperation systems that provide only cutaneous cues to the operator, thus guaranteeing the highest degree of safety. This cutaneous-only approach shows intermediate performance between no force feedback and full haptic feedback provided by a grounded haptic interface, and it is best suitable for those scenarios where the safety of the system is paramount, e. g. , robotic surgery. On the other hand, in order to achieve a higher level of performance, this work also investigates novel robotic teleoperation systems with force reflection able to provide mixed cutaneous and kinesthetic cues to the operator. Cutaneous cues can compensate for the temporary reduction of kinesthetic feedback necessary to satisfy certain stability conditions. This state-of-the-art volume is oriented toward researchers, educators, and students who are interested in force feedback techniques for robotic teleoperation, cutaneous device design, cutaneous rendering methods and perception studies, as well as readers from different disciplines who are interested in applying cutaneous haptic technologies and methods to their field of interest.
Mathematics of Discrete Structures for Computer Science
by Gordon J. PaceMathematics plays a key role in computer science, some researchers would consider computers as nothing but the physical embodiment of mathematical systems. And whether you are designing a digital circuit, a computer program or a new programming language, you need mathematics to be able to reason about the design -- its correctness, robustness and dependability. This book covers the foundational mathematics necessary for courses in computer science. The common approach to presenting mathematical concepts and operators is to define them in terms of properties they satisfy, and then based on these definitions develop ways of computing the result of applying the operators and prove them correct. This book is mainly written for computer science students, so here the author takes a different approach: he starts by defining ways of calculating the results of applying the operators and then proves that they satisfy various properties. After justifying his underlying approach the author offers detailed chapters covering propositional logic, predicate calculus, sets, relations, discrete structures, structured types, numbers, and reasoning about programs. The book contains chapter and section summaries, detailed proofs and many end-of-section exercises -- key to the learning process. The book is suitable for undergraduate and graduate students, and although the treatment focuses on areas with frequent applications in computer science, the book is also suitable for students of mathematics and engineering.
R Recipes
by Larry A. PaceR Recipes is your handy problem-solution reference for learning and using the popular R programming language for statistics and other numerical analysis. Packed with hundreds of code and visual recipes, this book helps you to quickly learn the fundamentals and explore the frontiers of programming, analyzing and using R. R Recipes provides textual and visual recipes for easy and productive templates for use and re-use in your day-to-day R programming and data analysis practice. Whether you're in finance, cloud computing, big or small data analytics, or other applied computational and data science - R Recipes should be a staple for your code reference library.
Beginning R: An Introduction to Statistical Programming
by Larry A. Pace Joshua F. WileyBeginning R, Second Edition is a hands-on book showing how to use the R language, write and save R scripts, read in data files, and write custom statistical functions as well as use built in functions. This book shows the use of R in specific cases such as one-way ANOVA analysis, linear and logistic regression, data visualization, parallel processing, bootstrapping, and more. It takes a hands-on, example-based approach incorporating best practices with clear explanations of the statistics being done. It has been completely re-written since the first edition to make use of the latest packages and features in R version 3. R is a powerful open-source language and programming environment for statistics and has become the de facto standard for doing, teaching, and learning computational statistics. R is both an object-oriented language and a functional language that is easy to learn, easy to use, and completely free. A large community of dedicated R users and programmers provides an excellent source of R code, functions, and data sets, with a constantly evolving ecosystem of packages providing new functionality for data analysis. R has also become popular in commercial use at companies such as Microsoft, Google, and Oracle. Your investment in learning R is sure to pay off in the long term as R continues to grow into the go to language for data analysis and research. What you'll learn How to acquire and install R Hot to import and export data and scripts How to analyze data and generate graphics How to program in R to write custom functions Hot to use R for interactive statistical explorations How to conduct bootstrapping and other advanced techniques Who this book is for Beginning R, Second Edition is an easy-to-read book that serves as an instruction manual and reference for working professionals, professors, and students who want to learn and use R for basic statistics. It is the perfect book for anyone needing a free, capable, and powerful tool for exploring statistics and automating their use. Table of Contents Part I. Learning the R Language 1. Getting Started 2. Dealing with Dates, Strings, and Data Frames 3. Input and Output 4. Control Structures Part II. Using R for Descriptive Statistics 5. Functional Programming 6. Probability Distributions 7. Working with Tables Part III. Using R for Inferential Statistics 8. Descriptive Statistics and Exploratory Data Analysis 9. Working with Graphics 10. Traditional Statistical Methods 11. Modern Statistical Methods 12. Analysis of Variance 13. Correlation and Regression 14. Multiple Regression 15. Logistic Regression 16. Modern Statistical Methods II Part IV. Taking R to the Next Level 17. Data Visualization Cookbook 18. High-performance Computing 19. Text Mining
Linked Noun Groups: Opposition and Expansion as Genre and Style Markers
by Michael Pace-SiggeThis book provides a corpus-led analysis of multi-word units (MWUs) in English, specifically fixed pairs of nouns which are linked by a conjunction, such as 'mum and dad', 'bride and groom' and 'law and order'. Crucially, the occurrence pattern of such pairs is dependent on genre, and this book aims to document the structural distribution of some key Linked Noun Groups (LNGs). The author looks at the usage patterns found in a range of poetry and fiction dating from the 17th to 20th century, and also highlights the important role such binomials play in academic English, while acknowledging that they are far less common in casual spoken English. His findings will be highly relevant to students and scholars working in language teaching, stylistics, and language technology (including AI).
Spreading Activation, Lexical Priming and the Semantic Web: Early Psycholinguistic Theories, Corpus Linguistics and AI Applications
by Michael Pace-SiggeThis book explores the interconnections between linguistics and Artificial Intelligence (AI) research, their mutually influential theories and developments, and the areas where these two groups can still learn from each other. It begins with a brief history of artificial intelligence theories focusing on figures including Alan Turing and M. Ross Quillian and the key concepts of priming, spread-activation and the semantic web. The author details the origins of the theory of lexical priming in early AI research and how it can be used to explain structures of language that corpus linguists have uncovered. He explores how the idea of mirroring the mind’s language processing has been adopted to create machines that can be taught to listen and understand human speech in a way that goes beyond a fixed set of commands. In doing so, he reveals how the latest research into the semantic web and Natural Language Processing has developed from its early roots. The book moves on to describe how the technology has evolved with the adoption of inference concepts, probabilistic grammar models, and deep neural networks in order to fine-tune the latest language-processing and translation tools. This engaging book offers thought-provoking insights to corpus linguists, computational linguists and those working in AI and NLP.
Building Applications with Scala
by Diego PachecoWrite modern, scalable, and reactive applications with the power of Scala About This Book * Delves into the intricacies of functional reactive programming with Scala * Explores frameworks like Akka, Play and Slick used to develop efficient applications * A step by step guide with plenty of examples showing practical implementation of essential concepts Who This Book Is For If you are a Java or JVM developer who wants to use Scala to build reactive functional applications for the JVM platform, then this book is for you. Prior knowledge of Java or functional programing would help. No Scala knowledge is required. What You Will Learn * Use Akka to create a chat service for your app * Equip yourself with the techniques and tools to build reports and build database persistence with Scala and Slick * Develop a customer-facing Rest API that makes use of Scala and Spray * Make use of the Scala web development principles and scale up the architecture of your application * Get familiar with the core principles and concepts of Functional Programming * Use the Play framework to create models, controllers, and views * Develop reactive backing frameworks by writing code with RxScala * Discover what proper testing entails with Scala using behavior-driven development In Detail Scala is known for incorporating both object-oriented and functional programming into a concise and extremely powerful package. However, creating an app in Scala can get a little tricky because of the complexity the language has. This book will help you dive straight into app development by creating a real, reactive, and functional application. We will provide you with practical examples and instructions using a hands-on approach that will give you a firm grounding in reactive functional principles. The book will take you through all the fundamentals of app development within Scala as you build an application piece by piece. We've made sure to incorporate everything you need from setting up to building reports and scaling architecture. This book also covers the most useful tools available in the Scala ecosystem, such as Slick, Play, and Akka, and a whole lot more. It will help you unlock the secrets of building your own up-to-date Scala application while maximizing performance and scalability. Style and approach This book takes a step-by-step approach to app development with Scala. It will place special emphasis on functional language. It will teach you the core benefits of Scala and the fundamentals of functional programming by developing a robust application.
Complex Networks XIII: Proceedings of the 13th Conference on Complex Networks, CompleNet 2022 (Springer Proceedings in Complexity)
by Diogo Pacheco Andreia Sofia Teixeira Hugo Barbosa Ronaldo Menezes Giuseppe MangioniThis book contains contributions presented at the 13th International Conference on Complex Networks (CompleNet), April 19–22, 2022. CompleNet is an international conference on complex networks that brings together researchers and practitioners from diverse disciplines—from sociology, biology, physics, and computer science—who share a passion to better understand the interdependencies within and across systems. CompleNet is a venue to discuss ideas and findings about all types of networks, from biological to technological and to informational and social. It is this interdisciplinary nature of complex networks that CompleNet aims to explore and celebrate.
Unsupervised Learning with R
by Erik Rodriguez PachecoWork with over 40 packages to draw inferences from complex datasets and find hidden patterns in raw unstructured data About This Book * Unlock and discover how to tackle clusters of raw data through practical examples in R * Explore your data and create your own models from scratch * Analyze the main aspects of unsupervised learning with this comprehensive, practical step-by-step guide Who This Book Is For This book is intended for professionals who are interested in data analysis using unsupervised learning techniques, as well as data analysts, statisticians, and data scientists seeking to learn to use R to apply data mining techniques. Knowledge of R, machine learning, and mathematics would help, but are not a strict requirement. What You Will Learn * Load, manipulate, and explore your data in R using techniques for exploratory data analysis such as summarization, manipulation, correlation, and data visualization * Transform your data by using approaches such as scaling, re-centering, scale [0-1], median/MAD, natural log, and imputation data * Build and interpret clustering models using K-Means algorithms in R * Build and interpret clustering models by Hierarchical Clustering Algorithm's in R * Understand and apply dimensionality reduction techniques * Create and use learning association rules models, such as recommendation algorithms * Use and learn about the techniques of feature selection * Install and use end-user tools as an alternative to programming directly in the R console In Detail The R Project for Statistical Computing provides an excellent platform to tackle data processing, data manipulation, modeling, and presentation. The capabilities of this language, its freedom of use, and a very active community of users makes R one of the best tools to learn and implement unsupervised learning. If you are new to R or want to learn about unsupervised learning, this book is for you. Packed with critical information, this book will guide you through a conceptual explanation and practical examples programmed directly into the R console. Starting from the beginning, this book introduces you to unsupervised learning and provides a high-level introduction to the topic. We quickly move on to discuss the application of key concepts and techniques for exploratory data analysis. The book then teaches you to identify groups with the help of clustering methods or building association rules. Finally, it provides alternatives for the treatment of high-dimensional datasets, as well as using dimensionality reduction techniques and feature selection techniques. By the end of this book, you will be able to implement unsupervised learning and various approaches associated with it in real-world projects. Style and approach This book takes a step-by-step approach to unsupervised learning concepts and tools, explained in a conversational and easy-to-follow style. Each topic is explained sequentially, explaining the theory and then putting it into practice by using specialized R packages for each topic.