Data Mining Mengeksplorasi Teknik Teknik Data Mining Dan Metode K Means Teori Konsep Algoritma Dan Studi Kasus
DOWNLOAD
Download Data Mining Mengeksplorasi Teknik Teknik Data Mining Dan Metode K Means Teori Konsep Algoritma Dan Studi Kasus PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Data Mining Mengeksplorasi Teknik Teknik Data Mining Dan Metode K Means Teori Konsep Algoritma Dan Studi Kasus book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Data Mining Mengeksplorasi Teknik Teknik Data Mining Dan Metode K Means Teori Konsep Algoritma Dan Studi Kasus
DOWNLOAD
Author : Mira, S.Kom., M.Kom.
language : id
Publisher: Uwais Inspirasi Indonesia
Release Date : 2025-03-22
Data Mining Mengeksplorasi Teknik Teknik Data Mining Dan Metode K Means Teori Konsep Algoritma Dan Studi Kasus written by Mira, S.Kom., M.Kom. and has been published by Uwais Inspirasi Indonesia this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-22 with Antiques & Collectibles categories.
Buku "Data Mining: Mengeksplorasi Teknik Data Mining dan K-Means untuk Pengelompokan Tingkat Disiplinan Pegawai" merupakan panduan dalam memahami dan menerapkan teknik data mining untuk analisis data. Dengan fokus khusus pada algoritma K-Means, buku ini memberikan pembaca wawasan tentang bagaimana teknik-teknik dalam data mining mendukung proses mengidentifikasi pola dan tren tersembunyi dalam data, khususnya dalam konteks pengelompokan tingkat kedisiplinan pegawai. Ditulis dengan gaya yang mudah dipahami, buku ini cocok untuk mahasiswa, peneliti, dan praktisi yang ingin mempelajari bagaimana data mining dapat digunakan untuk mengungkap pola tersembunyi dalam data dan memberikan solusi inovatif dalam pembelajaran dan penelitian.
Algorithms For Fuzzy Clustering
DOWNLOAD
Author : Sadaaki Miyamoto
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-04-15
Algorithms For Fuzzy Clustering written by Sadaaki Miyamoto 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 2008-04-15 with Computers categories.
Recently many researchers are working on cluster analysis as a main tool for exploratory data analysis and data mining. A notable feature is that specialists in di?erent ?elds of sciences are considering the tool of data clustering to be useful. A major reason is that clustering algorithms and software are ?exible in thesensethatdi?erentmathematicalframeworksareemployedinthealgorithms and a user can select a suitable method according to his application. Moreover clusteringalgorithmshavedi?erentoutputsrangingfromtheolddendrogramsof agglomerativeclustering to more recent self-organizingmaps. Thus, a researcher or user can choose an appropriate output suited to his purpose,which is another ?exibility of the methods of clustering. An old and still most popular method is the K-means which use K cluster centers. A group of data is gathered around a cluster center and thus forms a cluster. The main subject of this book is the fuzzy c-means proposed by Dunn and Bezdek and their variations including recent studies. A main reasonwhy we concentrate on fuzzy c-means is that most methodology and application studies infuzzy clusteringusefuzzy c-means,andfuzzy c-meansshouldbe consideredto beamajortechniqueofclusteringingeneral,regardlesswhetheroneisinterested in fuzzy methods or not. Moreover recent advances in clustering techniques are rapid and we requirea new textbook that includes recent algorithms.We should also note that several books have recently been published but the contents do not include some methods studied herein.
Data Mining For The Masses
DOWNLOAD
Author : Matthew North
language : en
Publisher:
Release Date : 2012-08-18
Data Mining For The Masses 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 2012-08-18 with Data mining categories.
Have you ever found yourself working with a spreadsheet full of data and wishing you could make more sense of the numbers? Have you reviewed sales or operations reports, wondering if there's a better way to anticipate your customers' needs? Perhaps you've even thought to yourself: There's got to be more to these figures than what I'm seeing! Data Mining can help, and you don't need a Ph.D. in Computer Science to do it. You can forecast staffing levels, predict demand for inventory, even sift through millions of lines of customer emails looking for common themes-all using data mining. It's easier than you might think. In Data Mining for the Masses, professor Matt North-a former risk analyst and database developer for eBay.com-uses simple examples, clear explanations and free, powerful, easy-to-use software to teach you the basics of data mining; techniques that can help you answer some of your toughest business questions. You've got data and you know it's got value, if only you can figure out how to unlock it. This book can show you how. Let's start digging! Through an agreement with the Global Text Project, an electronic version of this text is available online at (http://globaltext.terry.uga.edu/books). Proceeds from the sales of printed copies through Amazon enable the author to support the Global Text Project's goal of making electronic texts available to students in developing economies.
Data Mining And Knowledge Discovery In Real Life Applications
DOWNLOAD
Author : Julio Ponce
language : en
Publisher: BoD – Books on Demand
Release Date : 2009-01-01
Data Mining And Knowledge Discovery In Real Life Applications written by Julio Ponce and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-01-01 with Computers categories.
This book presents four different ways of theoretical and practical advances and applications of data mining in different promising areas like Industrialist, Biological, and Social. Twenty six chapters cover different special topics with proposed novel ideas. Each chapter gives an overview of the subjects and some of the chapters have cases with offered data mining solutions. We hope that this book will be a useful aid in showing a right way for the students, researchers and practitioners in their studies.
Data Mining Methods And Models
DOWNLOAD
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.
The Top Ten Algorithms In Data Mining
DOWNLOAD
Author : Xindong Wu
language : en
Publisher: CRC Press
Release Date : 2009-04-09
The Top Ten Algorithms In Data Mining written by Xindong Wu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-09 with Business & Economics categories.
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 impact, and reviews current and future research. Thoroughly evaluated by independent reviewers, each chapter focuses on a particular algorithm and is written by either the original authors of the algorithm or world-class researchers who have extensively studied the respective algorithm. The book concentrates on the following important algorithms: C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART. Examples illustrate how each algorithm works and highlight its overall performance in a real-world application. The text covers key topics—including classification, clustering, statistical learning, association analysis, and link mining—in data mining research and development as well as in data mining, machine learning, and artificial intelligence courses. By naming the leading algorithms in this field, this book encourages the use of data mining techniques in a broader realm of real-world applications. It should inspire more data mining researchers to further explore the impact and novel research issues of these algorithms.
Discovering Knowledge In Data
DOWNLOAD
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.
Data Warehousing Fundamentals
DOWNLOAD
Author : Paulraj Ponniah
language : en
Publisher: John Wiley & Sons
Release Date : 2004-04-07
Data Warehousing Fundamentals written by Paulraj Ponniah 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 2004-04-07 with Computers categories.
Geared to IT professionals eager to get into the all-importantfield of data warehousing, this book explores all topics needed bythose who design and implement data warehouses. Readers will learnabout planning requirements, architecture, infrastructure, datapreparation, information delivery, implementation, and maintenance.They'll also find a wealth of industry examples garnered from theauthor's 25 years of experience in designing and implementingdatabases and data warehouse applications for majorcorporations. Market: IT Professionals, Consultants.
The Origin Of Values
DOWNLOAD
Author : Raymond Boudon
language : en
Publisher: Routledge
Release Date : 2017-07-12
The Origin Of Values written by Raymond Boudon and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-12 with Social Science categories.
Values have always been a central topic in both philosophy and the social sciences. Statements about what is good or bad, fair or unfair, legitimate or illegitimate, express clear beliefs about human existence. The fact that values differ from culture to culture and century to century opens many questions. In The Origin of Values, Raymond Boudon offers empirical, data-based analysis of existing theories about values, while developing his own perspective as to why people accept or reject value statements. Boudon classifies the main theories of value, including those based on firm belief, social or biological factors, and rational or utilitarian attitudes. He discusses the popular and widely influential Rational Choice Model and critiques the postmodernist approach. Boudon investigates why relativism has become so powerful and contrasts it with the naturalism represented by the work of James Q. Wilson on moral sensibility. He follows with a constructive attempt to develop a new theory, beginning with Weber's idea of non-instrumental rationality as the basis for a more complex idea of rationality. Applying Boudon's own and existing theories of value to political issues and social ideas—the end of apartheid, the death penalty, multiculturalism, communitarianism—The Origin of Values is a significant work. Boudon fulfills a major task of social science: explanation of collective belief. His book will be of interest to sociologists, philosophers, psychologists, and political scientists.
Data Mining
DOWNLOAD
Author : Neni Purwati
language : id
Publisher: Zahira Media Publisher
Release Date : 2021-10-01
Data Mining written by Neni Purwati and has been published by Zahira Media Publisher this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-01 with Computers categories.
Judul : DATA MINING Penulis : Neni Purwati, Hendra Kurniawan, dan Sri Karnila Penerbit : Zahira Media Publisher ISBN : 978-623-6287-43-9 Jumlah Hal : xiv + 329 Halaman Ukuran Buku : 15,5 x 23 cm Abstrak : Data Mining adalah proses menemukan struktur/pola yang tidak terduga dalam data untuk memastikan proses mengeksplorasi data, bukan mengeksploitasinya. Pendapat lain mengatakan bahwa Data Mining adalah studi tentang mengumpulkan, membersihkan, memproses, menganalisis, dan mendapatkan wawasan yang berguna dari data. Ada variasi yang banyak dalam masalah, aplikasi, formulasi, dan representasi data yang ditemui dalam aplikasi. Karena itu, “Data mining” adalah istilah umum yang digunakan untuk menggambarkan berbagai aspek pemrosesan data. Ilmu yang berhubungan dengan Data Mining adalah Statistika, Machine Learning (ML), Data Science, Business Intelligence dan Big Data. Tahap persiapan data(Data Preprocessing) adalah proses yang terdiri dari beberapa langkah yaitu Feature extraction and portability, Data cleaning, Data reduction, selection, and transformation. Model Data Mining yang dibahas pada buku ini adalah Association Pattern Mining, Cluster Analysis, Outlier Analysis, dan Data Classification. Untuk pembahasan tentang Data antara lain: Data Streams, Text Data, Time Series Data, Graph Data, dan Web Data. Social Network Analysis adalah kecenderungan manusia untuk terhubung satu sama lain merupakan kebutuhan sosial yang mengakar dan menjadi latar belakang munculnya teknologi Web dan Internet, aplikasi sosial berbasis web terus berkembang dan membuat jumlah data yang terus meningkat, studi tradisional analisis jaringan sosial di bidang sosiologi mempopulerkan mekanisme yang dimungkinkan secara teknologi. Zahira Media Publisher "Teman Meraih Ilmu" Penerbit Buku di Purwokerto