Algoritma Apriori Penentuan Pola Penjualan

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Algoritma Apriori Penentuan Pola Penjualan

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Author : ZAYID MUSIAFA
language : id
Publisher: ZAYID MUSIAFA
Release Date : 2021-11-22

Algoritma Apriori Penentuan Pola Penjualan written by ZAYID MUSIAFA and has been published by ZAYID MUSIAFA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-22 with Computers categories.

Pengantar Algoritma Apriori Java Netbeans https://youtu.be/Vwc-h7Yo5jE https://youtu.be/ujnk0HfMVGw (Lanjutan)

Advances In Secure Computing Internet Services And Applications

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Author : Tripathy, B.K.
language : en
Publisher: IGI Global
Release Date : 2013-12-31

Advances In Secure Computing Internet Services And Applications written by Tripathy, B.K. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-31 with Computers categories.

Technological advancements have extracted a vast amount of useful knowledge and information for applications and services. These developments have evoked intelligent solutions that have been utilized in efforts to secure this data and avoid potential complex problems. Advances in Secure Computing, Internet Services, and Applications presents current research on the applications of computational intelligence in order to focus on the challenge humans face when securing knowledge and data. This book is a vital reference source for researchers, lecturers, professors, students, and developers, who have interest in secure computing and recent advanced in real life applications.

Menentukan Pola Pembelian Obat Menggunakan Algoritma Apriori

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Author : Muhammad elman
language : id
Publisher: Muhammad elman
Release Date :

Menentukan Pola Pembelian Obat Menggunakan Algoritma Apriori written by Muhammad elman and has been published by Muhammad elman this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

MENENTUKAN POLA PEMBELIAN OBAT MENGGUNAKAN ALGORITMA APRIORI

Association Rule Mining

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Author : Chengqi Zhang
language : en
Publisher: Springer
Release Date : 2003-08-01

Association Rule Mining written by Chengqi Zhang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-08-01 with Computers categories.

Due to the popularity of knowledge discovery and data mining, in practice as well as among academic and corporate R&D professionals, association rule mining is receiving increasing attention. The authors present the recent progress achieved in mining quantitative association rules, causal rules, exceptional rules, negative association rules, association rules in multi-databases, and association rules in small databases. This book is written for researchers, professionals, and students working in the fields of data mining, data analysis, machine learning, knowledge discovery in databases, and anyone who is interested in association rule mining.

Applied Informatics

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Author : Hector Florez
language : en
Publisher: Springer
Release Date : 2018-10-24

Applied Informatics written by Hector Florez and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-24 with Computers categories.

This book constitutes the thoroughly refereed papers of the First International Conference on Applied Informatics, ICAI 2018, held in Bogotá, Colombia, in November 2018. The 27 full papers were carefully reviewed and selected from 81 submissions. The papers are organized in topical sections on data analysis; decision systems; health care information systems; IT architectures; learning management systems; mobile information processing systems; robotic autonomy; software design engineering.

Data Mining Algoritma Dan Penerapannya

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Author : Randi Farmana Putra
language : id
Publisher: PT. Sonpedia Publishing Indonesia
Release Date : 2023-06-22

Data Mining Algoritma Dan Penerapannya written by Randi Farmana Putra and has been published by PT. Sonpedia Publishing Indonesia this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-22 with Computers categories.

Buku "Data Mining: Algoritma dan Penerapannya" adalah panduan komprehensif yang membahas konsep dan praktik data mining dalam dunia informatika. Buku ini mengulas definisi, konsep, dan praproses data sebagai langkah awal dalam analisis data. Berbagai macam algoritma data mining juga dijelaskan secara mendalam, termasuk K-Nearest Neighbors, decision tree, random forest, K-Means, dan algoritma Apriori. Salah satu fokus utama buku ini adalah penerapan data mining dalam bidang konstruksi. Buku ini menunjukkan bagaimana teknik data mining dapat digunakan untuk menganalisis data konstruksi, mengidentifikasi pola, dan memprediksi waktu penyelesaian proyek. Buku ini menyajikan penjelasan yang jelas dan terperinci tentang algoritma-algoritma data mining serta penerapannya dalam konteks konstruksi. Dengan memahami konsep-konsep dasar data mining dan menguasai teknik-teknik yang diajarkan, pembaca dapat mengoptimalkan penggunaan data dalam mengambil keputusan yang cerdas. "Data Mining: Algoritma dan Penerapannya" merupakan sumber informasi yang berharga bagi praktisi, peneliti, dan mahasiswa yang tertarik mempelajari data mining dan mengaplikasikannya dalam bidang konstruksi. Buku ini memberikan pemahaman mendalam tentang teknik data mining yang penting, membantu pembaca memanfaatkan potensi data untuk meningkatkan efisiensi dan efektivitas dalam proyek konstruksi.

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.

Frequent Pattern Mining

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Author : Charu C. Aggarwal
language : en
Publisher: Springer
Release Date : 2014-08-29

Frequent Pattern Mining written by Charu C. Aggarwal and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-29 with Computers categories.

This comprehensive reference consists of 18 chapters from prominent researchers in the field. Each chapter is self-contained, and synthesizes one aspect of frequent pattern mining. An emphasis is placed on simplifying the content, so that students and practitioners can benefit from the book. Each chapter contains a survey describing key research on the topic, a case study and future directions. Key topics include: Pattern Growth Methods, Frequent Pattern Mining in Data Streams, Mining Graph Patterns, Big Data Frequent Pattern Mining, Algorithms for Data Clustering and more. Advanced-level students in computer science, researchers and practitioners from industry will find this book an invaluable reference.

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.

Building A Data Warehouse

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Author : Vincent Rainardi
language : en
Publisher: Apress
Release Date : 2008-03-11

Building A Data Warehouse written by Vincent Rainardi and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-03-11 with Computers categories.

Here is the ideal field guide for data warehousing implementation. This book first teaches you how to build a data warehouse, including defining the architecture, understanding the methodology, gathering the requirements, designing the data models, and creating the databases. Coverage then explains how to populate the data warehouse and explores how to present data to users using reports and multidimensional databases and how to use the data in the data warehouse for business intelligence, customer relationship management, and other purposes. It also details testing and how to administer data warehouse operation.