Data Mining With Decision Trees Theory And Applications 2nd Edition

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Data Mining With Decision Trees: Theory And Applications (2nd Edition)

Maimon Oded Z,Rokach Lior
Data Mining With Decision Trees Theory And Applications 2nd Edition Book PDF

Author : Maimon Oded Z,Rokach Lior
Publisher : World Scientific
Page : 328 pages
File Size : 46,6 Mb
Release : 2014-09-03
Category : Computers
ISBN : 9789814590099

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Data Mining With Decision Trees: Theory And Applications (2nd Edition) by Maimon Oded Z,Rokach Lior Pdf

Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining; it is the science of exploring large and complex bodies of data in order to discover useful patterns. Decision tree learning continues to evolve over time. Existing methods are constantly being improved and new methods introduced.This 2nd Edition is dedicated entirely to the field of decision trees in data mining; to cover all aspects of this important technique, as well as improved or new methods and techniques developed after the publication of our first edition. In this new edition, all chapters have been revised and new topics brought in. New topics include Cost-Sensitive Active Learning, Learning with Uncertain and Imbalanced Data, Using Decision Trees beyond Classification Tasks, Privacy Preserving Decision Tree Learning, Lessons Learned from Comparative Studies, and Learning Decision Trees for Big Data. A walk-through guide to existing open-source data mining software is also included in this edition.This book invites readers to explore the many benefits in data mining that decision trees offer:

Data Mining with Decision Trees

Lior Rokach
Data Mining with Decision Trees Book PDF

Author : Lior Rokach
Publisher : World Scientific
Page : 263 pages
File Size : 50,8 Mb
Release : 2008
Category : Computers
ISBN : 9789812771728

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Data Mining with Decision Trees by Lior Rokach Pdf

This is the first comprehensive book dedicated entirely to the field of decision trees in data mining and covers all aspects of this important technique. Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining, the science and technology of exploring large and complex bodies of data in order to discover useful patterns. The area is of great importance because it enables modeling and knowledge extraction from the abundance of data available. Both theoreticians and practitioners are continually seeking techniques to make the process more efficient, cost-effective and accurate. Decision trees, originally implemented in decision theory and statistics, are highly effective tools in other areas such as data mining, text mining, information extraction, machine learning, and pattern recognition. This book invites readers to explore the many benefits in data mining that decision trees offer:: Self-explanatory and easy to follow when compacted; Able to handle a variety of input data: nominal, numeric and textual; Able to process datasets that may have errors or missing values; High predictive performance for a relatively small computational effort; Available in many data mining packages over a variety of platforms; Useful for various tasks, such as classification, regression, clustering and feature selection . Sample Chapter(s). Chapter 1: Introduction to Decision Trees (245 KB). Chapter 6: Advanced Decision Trees (409 KB). Chapter 10: Fuzzy Decision Trees (220 KB). Contents: Introduction to Decision Trees; Growing Decision Trees; Evaluation of Classification Trees; Splitting Criteria; Pruning Trees; Advanced Decision Trees; Decision Forests; Incremental Learning of Decision Trees; Feature Selection; Fuzzy Decision Trees; Hybridization of Decision Trees with Other Techniques; Sequence Classification Using Decision Trees. Readership: Researchers, graduate and undergraduate students in information systems, engineering, computer science, statistics and management.

Data Mining

Mehmed Kantardzic
Data Mining Book PDF

Author : Mehmed Kantardzic
Publisher : John Wiley & Sons
Page : 672 pages
File Size : 40,8 Mb
Release : 2019-11-12
Category : Computers
ISBN : 9781119516040

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Data Mining by Mehmed Kantardzic Pdf

Presents the latest techniques for analyzing and extracting information from large amounts of data in high-dimensional data spaces The revised and updated third edition of Data Mining contains in one volume an introduction to a systematic approach to the analysis of large data sets that integrates results from disciplines such as statistics, artificial intelligence, data bases, pattern recognition, and computer visualization. Advances in deep learning technology have opened an entire new spectrum of applications. The author—a noted expert on the topic—explains the basic concepts, models, and methodologies that have been developed in recent years. This new edition introduces and expands on many topics, as well as providing revised sections on software tools and data mining applications. Additional changes include an updated list of references for further study, and an extended list of problems and questions that relate to each chapter.This third edition presents new and expanded information that: • Explores big data and cloud computing • Examines deep learning • Includes information on convolutional neural networks (CNN) • Offers reinforcement learning • Contains semi-supervised learning and S3VM • Reviews model evaluation for unbalanced data Written for graduate students in computer science, computer engineers, and computer information systems professionals, the updated third edition of Data Mining continues to provide an essential guide to the basic principles of the technology and the most recent developments in the field.

Data Mining

Mehmed Kantardzic
Data Mining Book PDF

Author : Mehmed Kantardzic
Publisher : John Wiley & Sons
Page : 554 pages
File Size : 50,9 Mb
Release : 2011-08-16
Category : Computers
ISBN : 9780470890455

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Data Mining by Mehmed Kantardzic Pdf

This book reviews state-of-the-art methodologies and techniques for analyzing enormous quantities of raw data in high-dimensional data spaces, to extract new information for decision making. The goal of this book is to provide a single introductory source, organized in a systematic way, in which we could direct the readers in analysis of large data sets, through the explanation of basic concepts, models and methodologies developed in recent decades. If you are an instructor or professor and would like to obtain instructor’s materials, please visit http://booksupport.wiley.com If you are an instructor or professor and would like to obtain a solutions manual, please send an email to: [email protected]

Data Science and Machine Learning for Non-Programmers

Dothang Truong
Data Science and Machine Learning for Non Programmers Book PDF

Author : Dothang Truong
Publisher : CRC Press
Page : 768 pages
File Size : 55,9 Mb
Release : 2024-02-23
Category : Business & Economics
ISBN : 9781003835639

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Data Science and Machine Learning for Non-Programmers by Dothang Truong Pdf

As data continues to grow exponentially, knowledge of data science and machine learning has become more crucial than ever. Machine learning has grown exponentially; however, the abundance of resources can be overwhelming, making it challenging for new learners. This book aims to address this disparity and cater to learners from various non-technical fields, enabling them to utilize machine learning effectively. Adopting a hands-on approach, readers are guided through practical implementations using real datasets and SAS Enterprise Miner, a user-friendly data mining software that requires no programming. Throughout the chapters, two large datasets are used consistently, allowing readers to practice all stages of the data mining process within a cohesive project framework. This book also provides specific guidelines and examples on presenting data mining results and reports, enhancing effective communication with stakeholders. Designed as a guiding companion for both beginners and experienced practitioners, this book targets a wide audience, including students, lecturers, researchers, and industry professionals from various backgrounds.

Fundamentals of Supervised Machine Learning

Giovanni Cerulli
Fundamentals of Supervised Machine Learning Book PDF

Author : Giovanni Cerulli
Publisher : Springer Nature
Page : 416 pages
File Size : 53,9 Mb
Release : 2023-11-14
Category : Computers
ISBN : 9783031413377

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Fundamentals of Supervised Machine Learning by Giovanni Cerulli Pdf

This book presents the fundamental theoretical notions of supervised machine learning along with a wide range of applications using Python, R, and Stata. It provides a balance between theory and applications and fosters an understanding and awareness of the availability of machine learning methods over different software platforms. After introducing the machine learning basics, the focus turns to a broad spectrum of topics: model selection and regularization, discriminant analysis, nearest neighbors, support vector machines, tree modeling, artificial neural networks, deep learning, and sentiment analysis. Each chapter is self-contained and comprises an initial theoretical part, where the basics of the methodologies are explained, followed by an applicative part, where the methods are applied to real-world datasets. Numerous examples are included and, for ease of reproducibility, the Python, R, and Stata codes used in the text, along with the related datasets, are available online. The intended audience is PhD students, researchers and practitioners from various disciplines, including economics and other social sciences, medicine and epidemiology, who have a good understanding of basic statistics and a working knowledge of statistical software, and who want to apply machine learning methods in their work.

Applications of Bioinformatics in Rice Research

Manoj Kumar Gupta,Lambodar Behera
Applications of Bioinformatics in Rice Research Book PDF

Author : Manoj Kumar Gupta,Lambodar Behera
Publisher : Springer Nature
Page : 363 pages
File Size : 51,9 Mb
Release : 2021-09-24
Category : Science
ISBN : 9789811639975

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Applications of Bioinformatics in Rice Research by Manoj Kumar Gupta,Lambodar Behera Pdf

This book summarizes the advanced computational methods for mapping high-density linkages and quantitative trait loci in the rice genome. It also discusses the tools for analyzing metabolomics, identifying complex polyploidy genomes, and decoding the extrachromosomal genome in rice. Further, the book highlights the application of CRISPR-Cas technology and methods for understanding the evolutionary development and the de novo evolution of genes in rice. Lastly, it discusses the role of artificial intelligence and machine learning in rice research and computational tools to analyze plant-pathogen co-evolution in rice crops.

Data Mining Models, Second Edition

David L. Olson
Data Mining Models Second Edition Book PDF

Author : David L. Olson
Publisher : Business Expert Press
Page : 182 pages
File Size : 41,8 Mb
Release : 2018-04-25
Category : Business & Economics
ISBN : 9781948580502

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Data Mining Models, Second Edition by David L. Olson Pdf

Data mining has become the fastest growing topic of interest in business programs in the past decade. This book is intended to describe the benefits of data mining in business, the process and typical business applications, the workings of basic data mining models, and demonstrate each with widely available free software. The book focuses on demonstrating common business data mining applications. It provides exposure to the data mining process, to include problem identification, data management, and available modeling tools. The book takes the approach of demonstrating typical business data sets with open source software. KNIME is a very easy-to-use tool, and is used as the primary means of demonstration. R is much more powerful and is a commercially viable data mining tool. We also demonstrate WEKA, which is a highly useful academic software, although it is difficult to manipulate test sets and new cases, making it problematic for commercial use.

Research Anthology on Machine Learning Techniques, Methods, and Applications

Management Association, Information Resources
Research Anthology on Machine Learning Techniques Methods and Applications Book PDF

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 1516 pages
File Size : 45,9 Mb
Release : 2022-05-13
Category : Computers
ISBN : 9781668462928

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Research Anthology on Machine Learning Techniques, Methods, and Applications by Management Association, Information Resources Pdf

Machine learning continues to have myriad applications across industries and fields. To ensure this technology is utilized appropriately and to its full potential, organizations must better understand exactly how and where it can be adapted. Further study on the applications of machine learning is required to discover its best practices, challenges, and strategies. The Research Anthology on Machine Learning Techniques, Methods, and Applications provides a thorough consideration of the innovative and emerging research within the area of machine learning. The book discusses how the technology has been used in the past as well as potential ways it can be used in the future to ensure industries continue to develop and grow. Covering a range of topics such as artificial intelligence, deep learning, cybersecurity, and robotics, this major reference work is ideal for computer scientists, managers, researchers, scholars, practitioners, academicians, instructors, and students.

The Routledge International Handbook of Forensic Intelligence and Criminology

Quentin Rossy,David Décary-Hétu,Olivier Delémont,Massimiliano Mulone
The Routledge International Handbook of Forensic Intelligence and Criminology Book PDF

Author : Quentin Rossy,David Décary-Hétu,Olivier Delémont,Massimiliano Mulone
Publisher : Routledge
Page : 407 pages
File Size : 54,9 Mb
Release : 2017-12-06
Category : Social Science
ISBN : 9781134889020

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The Routledge International Handbook of Forensic Intelligence and Criminology by Quentin Rossy,David Décary-Hétu,Olivier Delémont,Massimiliano Mulone Pdf

Despite a shared focus on crime and its ‘extended family’, forensic scientists and criminologists tend to work in isolation rather than sharing the data, methods and knowledge that will broaden the understanding of the criminal phenomenon and its related subjects. Bringing together perspectives from international experts, this book explores the intersection between criminology and forensic science and considers how knowledge from both fields can contribute to a better understanding of crime and offer new directions in theory and methodology. This handbook is divided into three parts: Part I explores the epistemological and historical components of criminology and forensic science, focusing on their scientific and social origins. Part II considers how collaboration between these disciplines can bring about a better understanding of the organizations and institutions that react to crime, including the court, intelligence, prevention, crime scene investigation and policing. Part III discusses the phenomena and actors that produce crime, including a reflection on the methodological issues, challenges and rewards regarding the sharing of these two disciplines. The objective of this handbook is to stimulate a ‘new’ interdisciplinary take on the study of crime, to show how both forensic and criminological theories and knowledge can be combined to analyse crime problems and to open new methodological perspectives. It will be essential reading for students and researchers engaged with forensic science, criminology, criminal behaviour, criminal investigation, crime analysis and criminal justice.

Artificial Intelligence in Daily Life

Raymond S. T. Lee
Artificial Intelligence in Daily Life Book PDF

Author : Raymond S. T. Lee
Publisher : Springer Nature
Page : 394 pages
File Size : 43,5 Mb
Release : 2020-08-22
Category : Computers
ISBN : 9789811576959

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Artificial Intelligence in Daily Life by Raymond S. T. Lee Pdf

Given the exponential growth of Artificial Intelligence (AI) over the past few decades, AI and its related applications have become part of daily life in ways that we could never have dreamt of only a century ago. Our routines have been changed beyond measure by robotics and AI, which are now used in a vast array of services. Though AI is still in its infancy, we have already benefited immensely. This book introduces readers to basic Artificial Intelligence concepts, and helps them understand the relationship between AI and daily life. In the interest of clarity, the content is divided into four major parts. Part I (AI Concepts) presents fundamental concepts of and information on AI; while Part II (AI Technology) introduces readers to the five core AI Technologies that provide the building blocks for various AI applications, namely: Machine Learning (ML), Data Mining (DM), Computer Vision (CV), Natural Languages Processing (NLP), and Ontology-based Search Engine (OSE). In turn, Part III (AI Applications) reviews major contemporary applications that are impacting our ways of life, working styles and environment, ranging from intelligent agents and robotics to smart campus and smart city projects. Lastly, Part IV (Beyond AI) addresses related topics that are vital to the future development of AI. It also discusses a number of critical issues, such as AI ethics and privacy, the development of a conscious mind, and autonomous robotics in our daily lives.

Electronic Governance with Emerging Technologies

Fernando Ortiz-Rodríguez,Sanju Tiwari,Patience Usoro Usip,Raul Palma
Electronic Governance with Emerging Technologies Book PDF

Author : Fernando Ortiz-Rodríguez,Sanju Tiwari,Patience Usoro Usip,Raul Palma
Publisher : Springer Nature
Page : 227 pages
File Size : 51,5 Mb
Release : 2023-10-17
Category : Computers
ISBN : 9783031439407

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Electronic Governance with Emerging Technologies by Fernando Ortiz-Rodríguez,Sanju Tiwari,Patience Usoro Usip,Raul Palma Pdf

This book constitutes the refereed proceedings of the Second International Conference on Electronic Governance with Emerging Technologies, EGETC 2023, held in Poznan, Poland, during September 11–12, 2023. The 15 full papers and one short paper presented were thoroughly reviewed and selected from the 76 submissions. This volume focuses on the recent developments in the domain of eGovernment and governance of digital organizations also aims to shed light on the emerging research trends and their applications.

Machine Learning for Business Analytics

Galit Shmueli,Peter C. Bruce,Peter Gedeck,Inbal Yahav,Nitin R. Patel
Machine Learning for Business Analytics Book PDF

Author : Galit Shmueli,Peter C. Bruce,Peter Gedeck,Inbal Yahav,Nitin R. Patel
Publisher : John Wiley & Sons
Page : 693 pages
File Size : 46,8 Mb
Release : 2023-03-22
Category : Computers
ISBN : 9781119835196

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Machine Learning for Business Analytics by Galit Shmueli,Peter C. Bruce,Peter Gedeck,Inbal Yahav,Nitin R. Patel Pdf

MACHINE LEARNING FOR BUSINESS ANALYTICS Machine learning —also known as data mining or data analytics— is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R provides a comprehensive introduction and an overview of this methodology. This best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation, and network analytics. Along with hands-on exercises and real-life case studies, it also discusses managerial and ethical issues for responsible use of machine learning techniques. This is the second R edition of Machine Learning for Business Analytics. This edition also includes: A new co-author, Peter Gedeck, who brings over 20 years of experience in machine learning using R An expanded chapter focused on discussion of deep learning techniques A new chapter on experimental feedback techniques including A/B testing, uplift modeling, and reinforcement learning A new chapter on responsible data science Updates and new material based on feedback from instructors teaching MBA, Masters in Business Analytics and related programs, undergraduate, diploma and executive courses, and from their students A full chapter devoted to relevant case studies with more than a dozen cases demonstrating applications for the machine learning techniques End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, slides, and case solutions This textbook is an ideal resource for upper-level undergraduate and graduate level courses in data science, predictive analytics, and business analytics. It is also an excellent reference for analysts, researchers, and data science practitioners working with quantitative data in management, finance, marketing, operations management, information systems, computer science, and information technology.

Ensemble Learning: Pattern Classification Using Ensemble Methods (Second Edition)

Lior Rokach
Ensemble Learning Pattern Classification Using Ensemble Methods Second Edition Book PDF

Author : Lior Rokach
Publisher : World Scientific
Page : 301 pages
File Size : 47,6 Mb
Release : 2019-02-27
Category : Computers
ISBN : 9789811201974

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Ensemble Learning: Pattern Classification Using Ensemble Methods (Second Edition) by Lior Rokach Pdf

This updated compendium provides a methodical introduction with a coherent and unified repository of ensemble methods, theories, trends, challenges, and applications. More than a third of this edition comprised of new materials, highlighting descriptions of the classic methods, and extensions and novel approaches that have recently been introduced.Along with algorithmic descriptions of each method, the settings in which each method is applicable and the consequences and tradeoffs incurred by using the method is succinctly featured. R code for implementation of the algorithm is also emphasized.The unique volume provides researchers, students and practitioners in industry with a comprehensive, concise and convenient resource on ensemble learning methods.

Regional Development: Concepts, Methodologies, Tools, and Applications

Management Association, Information Resources
Regional Development Concepts Methodologies Tools and Applications Book PDF

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 1667 pages
File Size : 47,8 Mb
Release : 2012-04-30
Category : Political Science
ISBN : 9781466608832

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Regional Development: Concepts, Methodologies, Tools, and Applications by Management Association, Information Resources Pdf

From domestic to international settings, aid and assistance to less-developed areas has recently been bolstered by a boom in technological advances and new research. Regional Development: Concepts, Methodologies, Tools, and Applications presents a vital compendium of research detailing the latest case studies, architectures, frameworks, methodologies, and research on regional development. With over 100 chapters from authors from around the world, this three volume collection presents the most sophisticated research and developments from the field, relevant to researchers, academics, and practitioners alike. In order to stay abreast of the latest research, this book affords a vital look into regional development research.