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Data Mining Menggunakan Android Weka Dan Spss


Data Mining Menggunakan Android Weka Dan Spss
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Data Mining Menggunakan Android Weka Dan Spss


Data Mining Menggunakan Android Weka Dan Spss
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Author : Indah Werdiningsih
language : id
Publisher: Airlangga University Press
Release Date : 2020-10-06

Data Mining Menggunakan Android Weka Dan Spss written by Indah Werdiningsih and has been published by Airlangga University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-06 with Computers categories.


Data adalah kumpulan objek dan atributnya. Melalui sejumlah atribut yang menunjukkan karakteristik dari objek, suatu objek dapat digambarkan. Atribut juga dikenal sebagai fitur, variabel, field, atau karakteristik. Sebagai contoh pada data pelanggan, seorang pelanggan merupakan objek, di mana seorang pelanggan mempunyai ID, nama, dan alamat pelanggan yang merupakan atribut. Tujuan pembuatan buku ini adalah untuk menambah wawasan pembaca perihal data, jenis-jenis data, pengertian data mining, metode klasifikasi, metode cara mengolah data menggunakan metode-metode yang ada di Data Mining, yaitu Principal Component Analysis, Decision Tree, Naïve Bayes, Support Vektor Machine, Association Rule, Clustering, deteksi anomali, dan penerapan metode-metode tersebut untuk membangun aplikasi.



Pengelolaan Data Mining Dengan Pemrograman Matlab


Pengelolaan Data Mining Dengan Pemrograman Matlab
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Author : Indah Werdiningsih
language : id
Publisher: Airlangga University Press
Release Date : 2022-10-26

Pengelolaan Data Mining Dengan Pemrograman Matlab written by Indah Werdiningsih and has been published by Airlangga University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-26 with Computers categories.


Buku ini ditujukan untuk guru/dosen, pelajar/mahasiswa, peneliti, dan praktisi. Buku ini berisi tentang pemrograman Matlab untuk pengelolaan data mining, seperti eksplorasi data, preprocessing data, klasifikasi data, clustering, association rule, validitas cluster, dan evaluasi sistem klasifikasi. Eksplorasi data meliputi berbagai teknik eksplorasi data dan visualisasi data. Preprocessing data meliputi identifikasi outlier , data cleaning, dan transformasi data. Klasifikasi data meliputi metode-metode klasifikasi, yaitu Decision Tree, K- Nearest Neighbor , Support Vector Machine. Metode Clustering yang dibahas dalam buku ini adalah Fuzzy C-Means . Metode association rule yang dibahas dalam buku ini adalah Algoritma Apriori dan Algoritma FP-Growth . Evaluasi sistem klasifikasi yang dibahas adalah Confusion Matrix dan Receiver Operating Characteristic.



Recent Advances On Soft Computing And Data Mining


Recent Advances On Soft Computing And Data Mining
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Author : Rozaida Ghazali
language : en
Publisher: Springer Nature
Release Date : 2019-12-04

Recent Advances On Soft Computing And Data Mining written by Rozaida Ghazali and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-04 with Technology & Engineering categories.


This book provides an introduction to data science and offers a practical overview of the concepts and techniques that readers need to get the most out of their large-scale data mining projects and research studies. It discusses data-analytical thinking, which is essential to extract useful knowledge and obtain commercial value from the data. Also known as data-driven science, soft computing and data mining disciplines cover a broad interdisciplinary range of scientific methods and processes. The book provides readers with sufficient knowledge to tackle a wide range of issues in complex systems, bringing together the scopes that integrate soft computing and data mining in various combinations of applications and practices, since to thrive in these data-driven ecosystems, researchers, data analysts and practitioners must understand the design choice and options of these approaches. This book helps readers to solve complex benchmark problems and to better appreciate the concepts, tools and techniques used.



Data Mining Methods And Models


Data Mining Methods And Models
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Author : Daniel T. Larose
language : en
Publisher: John Wiley & Sons
Release Date : 2006-02-02

Data Mining Methods And Models written by Daniel T. Larose and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-02-02 with Computers categories.


Apply powerful Data Mining Methods and Models to Leverage your Data for Actionable Results Data Mining Methods and Models provides: * The latest techniques for uncovering hidden nuggets of information * The insight into how the data mining algorithms actually work * The hands-on experience of performing data mining on large data sets Data Mining Methods and Models: * Applies a "white box" methodology, emphasizing an understanding of the model structures underlying the softwareWalks the reader through the various algorithms and provides examples of the operation of the algorithms on actual large data sets, including a detailed case study, "Modeling Response to Direct-Mail Marketing" * Tests the reader's level of understanding of the concepts and methodologies, with over 110 chapter exercises * Demonstrates the Clementine data mining software suite, WEKA open source data mining software, SPSS statistical software, and Minitab statistical software * Includes a companion Web site, www.dataminingconsultant.com, where the data sets used in the book may be downloaded, along with a comprehensive set of data mining resources. Faculty adopters of the book have access to an array of helpful resources, including solutions to all exercises, a PowerPoint(r) presentation of each chapter, sample data mining course projects and accompanying data sets, and multiple-choice chapter quizzes. With its emphasis on learning by doing, this is an excellent textbook for students in business, computer science, and statistics, as well as a problem-solving reference for data analysts and professionals in the field. An Instructor's Manual presenting detailed solutions to all the problems in the book is available onlne.



Cyber Physical Computer And Automation System


Cyber Physical Computer And Automation System
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Author : Endra Joelianto
language : en
Publisher:
Release Date : 2021

Cyber Physical Computer And Automation System written by Endra Joelianto and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.


This book is a collection of extended papers presented at the Cyber Physical, Computer and Automation System (CPCAS 2019), Bali - Indonesia, 13-15 November 2019. The book includes chapters in three prime areas: (1) autonomous systems and controls; (2) human-machine interaction and human-related engineering; and (3) interconnected things. Autonomous systems and controls are systems of engineering that work with or without human intervention. Human-machine interaction involves sensor and actuator technology to detect human behavior, intentions, and decisions and also to provide the ability of a machine to interact with humans to achieve the expected performance. Interconnected things consist of a network of computer-controlled physical mechanisms communicating with each other for efficient operation and improving system capabilities.



Data Mining


Data Mining
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Author : Yong Yin
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-03-16

Data Mining written by Yong Yin and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-16 with Computers categories.


Data Mining introduces in clear and simple ways how to use existing data mining methods to obtain effective solutions for a variety of management and engineering design problems. Data Mining is organised into two parts: the first provides a focused introduction to data mining and the second goes into greater depth on subjects such as customer analysis. It covers almost all managerial activities of a company, including: • supply chain design, • product development, • manufacturing system design, • product quality control, and • preservation of privacy. Incorporating recent developments of data mining that have made it possible to deal with management and engineering design problems with greater efficiency and efficacy, Data Mining presents a number of state-of-the-art topics. It will be an informative source of information for researchers, but will also be a useful reference work for industrial and managerial practitioners.



Data Management Using Stata


Data Management Using Stata
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Author : Michael N Mitchell
language : en
Publisher: Stata Press
Release Date : 2020-06-25

Data Management Using Stata written by Michael N Mitchell and has been published by Stata Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-25 with categories.


This second edition of Data Management Using Stata focuses on tasks that bridge the gap between raw data and statistical analysis. It has been updated throughout to reflect new data management features that have been added over the last 10 years. Such features include the ability to read and write a wide variety of file formats, the ability to write highly customized Excel files, the ability to have multiple Stata datasets open at once, and the ability to store and manipulate string variables stored as Unicode. Further, this new edition includes a new chapter illustrating how to write Stata programs for solving data management tasks. As in the original edition, the chapters are organized by data management areas: reading and writing datasets, cleaning data, labeling datasets, creating variables, combining datasets, processing observations across subgroups, changing the shape of datasets, and programming for data management. Within each chapter, each section is a self-contained lesson illustrating a particular data management task (for instance, creating date variables or automating error checking) via examples. This modular design allows you to quickly identify and implement the most common data management tasks without having to read background information first. In addition to the "nuts and bolts" examples, author Michael Mitchell alerts users to common pitfalls (and how to avoid them) and provides strategic data management advice. This book can be used as a quick reference for solving problems as they arise or can be read as a means for learning comprehensive data management skills. New users will appreciate this book as a valuable way to learn data management, while experienced users will find this information to be handy and time saving--there is a good chance that even the experienced user will learn some new tricks.



Data Mining For The Masses Third Edition


Data Mining For The Masses Third Edition
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Author : Matthew North
language : en
Publisher:
Release Date : 2018-09-05

Data Mining For The Masses Third Edition written by Matthew North and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-05 with categories.


Some say we live in the Information Age; others, the Social Age; and still others, the Big Data Age. Regardless of what name we give it, we live in an age that generates monumental amounts of data-in all different kinds of formats. In business, and in our personal lives, we use smartphones and tablets, web sites and watches; with apps and interfaces to shop, learn, entertain and inform. Businesses increasingly use technology to interact with consumers to provide marketing, customer service, product information and more. All of this technological activity generates data, and we're increasingly good at gathering, storing and analyzing it.Data mining can help to identify interesting patterns and messages that exist in data, often hidden beneath the surface. In this modern age of information systems, it is easier than ever before to extract meaning from data. From classification to prediction, data mining can help.In Data Mining for the Masses, Third Edition, professor Matt North-a former risk analyst and software engineer at eBay-uses simple examples and clear explanations with free, powerful software tools to teach you the basics of data mining. In this Third Edition, implementations of these examples are offered in current versions of the RapidMiner software, and in the increasingly popular R Statistical Package.You've got more data than ever before and you know it's got value, if only you can figure out how to get to it. This book can show you how. Let's start digging!



Discovering Knowledge In Data


Discovering Knowledge In Data
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Author : Daniel T. Larose
language : en
Publisher: John Wiley & Sons
Release Date : 2005-01-28

Discovering Knowledge In Data written by Daniel T. Larose and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-01-28 with Computers categories.


Learn Data Mining by doing data mining Data mining can be revolutionary-but only when it's done right. The powerful black box data mining software now available can produce disastrously misleading results unless applied by a skilled and knowledgeable analyst. Discovering Knowledge in Data: An Introduction to Data Mining provides both the practical experience and the theoretical insight needed to reveal valuable information hidden in large data sets. Employing a "white box" methodology and with real-world case studies, this step-by-step guide walks readers through the various algorithms and statistical structures that underlie the software and presents examples of their operation on actual large data sets. Principal topics include: * Data preprocessing and classification * Exploratory analysis * Decision trees * Neural and Kohonen networks * Hierarchical and k-means clustering * Association rules * Model evaluation techniques Complete with scores of screenshots and diagrams to encourage graphical learning, Discovering Knowledge in Data: An Introduction to Data Mining gives students in Business, Computer Science, and Statistics as well as professionals in the field the power to turn any data warehouse into actionable knowledge. An Instructor's Manual presenting detailed solutions to all the problems in the book is available online.



Modern Trends In Physics Proceedings Of The 4th International Conference On Modern Research


Modern Trends In Physics Proceedings Of The 4th International Conference On Modern Research
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Author : Lotfia M El-nadi
language : en
Publisher: World Scientific
Release Date : 2013-03-25

Modern Trends In Physics Proceedings Of The 4th International Conference On Modern Research written by Lotfia M El-nadi and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-25 with Science categories.


The objectives of the conference are to develop greater understanding of physics research and its applications to promote new industries; to innovate knowledge about recent breakthroughs in physics, both the fundamental and technological aspects; to implement of international cooperation in new trends in physics research and to improve the performance of the physics research facilities in Egypt. This proceedings highlights the latest results in the fields of astrophysics, atomic, molecular, condensed matter, laser, nuclear and particle physics. The peer refereed papers collected in this volume were written by international experts in these laser fields.