Algoritma Data Mining
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Implementasi Data Mining Clastering Association Prediction Estimation Classification
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Author : 1. Rulin Swastika 2. Siti Mukodimah 3. Ferry Susanto 4. Muhamad Muslihudin 5. Sri Ipnuwati Penerbit Adab
language : id
Publisher: Penerbit Adab
Release Date :
Implementasi Data Mining Clastering Association Prediction Estimation Classification written by 1. Rulin Swastika 2. Siti Mukodimah 3. Ferry Susanto 4. Muhamad Muslihudin 5. Sri Ipnuwati Penerbit Adab and has been published by Penerbit Adab this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Judul : IMPLEMENTASI DATA MINING (Clastering, Association, Prediction, Estimation, Classification) Penulis : 1. Rulin Swastika 2. Siti Mukodimah 3. Ferry Susanto 4. Muhamad Muslihudin 5. Sri Ipnuwati Editor : Didi Susianto, M.Kom Suyono, M.T.I Ukuran : 15,5 x 23 cm Tebal : 124 Halaman No ISBN : 978-623-497-285-6 Sinopsis Pada dasarnya keberadaan data mining dibutuhkan mengingat semakin banyaknya informasi di era teknologi seperti data transaksi bisnis, data ilmiah, gambar, video dan data-data lainnya. Dengan banyaknya data tersebut dibutuhkan sistem yang mampu mengekstraksi esensi dari semua informasi yang tersedia dan membuat ringkasan untuk membantu pengambilan keputusan yang lebih baik. Adapun manfaat menggunakan data mining di era digital yaitu adalah: 1. Mengetahui tren pasar 2. Memprediksi keputusan bisnis di masa mendatang 3. Mengetahui produk yang sedang viral 4. Mengamati perilaku konsumen 5. Sarana menyusun strategi peningkatan penjualan Data mining sangatlah berguna bagi pembisnis baik pada level perusahaan atau individu yang mengandalkan data sebagai basis pengambilan keputusan. Data mining dalam dunia bisnis mampu menarik informasi spesifik dari volume data yang besar untuk menemukan solusi bagi masalah bisnis perusahaan. Buku ini terdiri dari 9 Bab yang terdiri dari: BAB I Konsep Dasar Data Mining BAB II Proses Data Mining BAB III Tools Data Mining BAB IV Konsep Data Preprocessing BAB V Clustering Data BAB VI Estimation Data BAB VII Classification Data BAB VIII Prediction Data BAB IX Dataset Pendukung Data Mining
Data Mining
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Author : Yahya, ST. M.Kom.
language : id
Publisher: CV Jejak (Jejak Publisher)
Release Date : 2022-12-14
Data Mining written by Yahya, ST. M.Kom. and has been published by CV Jejak (Jejak Publisher) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-14 with Antiques & Collectibles categories.
Buku ini berisi tentang: Pengetahuan umum tentang Data Mining, latihan dan praktik pengolahan data menggunakan berbagai macam algoritma dalam konsep Data Mining antara lain : Decision Tree, Naïve Bayes, K-NN, SVM, K-Means. Buku ini dapat digunakan oleh Dosen dan Mahasiswa Indonesia yang mengampu dan mengambil mata kuliah Data Mining.
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.
Data Mining Konsep Dan Aplikasi
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Author : Mulaab
language : id
Publisher: Media Nusa Creative (MNC Publishing)
Release Date : 2021-11-03
Data Mining Konsep Dan Aplikasi written by Mulaab and has been published by Media Nusa Creative (MNC Publishing) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-03 with Computers categories.
Bab 1 - Pengantar ...................................................................... 1 1.1. Data Mining : Apa dan Mengapa? ............................. 1 1.2. Fungsi Data Mining ...................................................... 3 Bab 2 - Proses Datamining ...................................................... 5 2.1. Proses Data Mining ....................................................... 5 2.2. Model Cross Standar Ptocess Industrial Data Mining/ CRISP-DM ...................................................................... 8 Bab 3 - Memahami Data .......................................................... 13 3.1. Macam-macam data ...................................................... 13 3.2. Macam-macam atribut .................................................. 15 3.3. Statistik diskriptif data .................................................. 21 Bab 4 - Pemrosesan Awal data ................................................ 23 4.1. Pengantar pemrosesan awal data ................................ 23 4.2. Membersihkan data ....................................................... 27 4.3. Transformasi data .......................................................... 27 4.4. Integerasi Data ............................................................... 28 4.5. Normalisasi Data ........................................................... 28 4.6. Memasukkan data yang hilang (Missing Data) ......... 29 4.7. Identifikasi noise ............................................................ 29
Data Mining
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Author : Fricles Ariwisanto Sianturi
language : id
Publisher: IOCS Publisher
Release Date : 2019-03-27
Data Mining written by Fricles Ariwisanto Sianturi and has been published by IOCS Publisher this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-27 with Mathematics categories.
buku ini dijelaskan secara rinci mulai dari persiapaan ataupan perancangan, pendefenisian secara teori, contoh kasus dan penyelesiaan masalah serta pengujian dengan aplikasi weka. Buku ini juga merupakan jilid 1, yang nantinya akan ada perbaikan – perbaikan dan pengujian dengan aplikasi – aplikasi pendukung yang telah tersedia sehingga dapat digunakan secara berkelanjutan.
Proceedings Of The 2nd International Conference On Emerging Technologies And Intelligent Systems
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Author : Mohammed A. Al-Sharafi
language : en
Publisher: Springer Nature
Release Date : 2022-12-12
Proceedings Of The 2nd International Conference On Emerging Technologies And Intelligent Systems written by Mohammed A. Al-Sharafi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-12 with Technology & Engineering categories.
This book sheds light on the recent research directions in intelligent systems and their applications. It involves four main themes: artificial intelligence and data science, recent trends in software engineering, emerging technologies in education, and intelligent health informatics. The discussion of the most recent designs, advancements, and modifications of intelligent systems, as well as their applications, is a key component of the chapters contributed to the aforementioned subjects.
Data Mining Southeast Asia Edition
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Author : Jiawei Han
language : en
Publisher: Elsevier
Release Date : 2006-04-06
Data Mining Southeast Asia Edition written by Jiawei Han and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-04-06 with Computers categories.
Our ability to generate and collect data has been increasing rapidly. Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. On the collection side, scanned text and image platforms, satellite remote sensing systems, and the World Wide Web have flooded us with a tremendous amount of data. This explosive growth has generated an even more urgent need for new techniques and automated tools that can help us transform this data into useful information and knowledge. Like the first edition, voted the most popular data mining book by KD Nuggets readers, this book explores concepts and techniques for the discovery of patterns hidden in large data sets, focusing on issues relating to their feasibility, usefulness, effectiveness, and scalability. However, since the publication of the first edition, great progress has been made in the development of new data mining methods, systems, and applications. This new edition substantially enhances the first edition, and new chapters have been added to address recent developments on mining complex types of data— including stream data, sequence data, graph structured data, social network data, and multi-relational data. - A comprehensive, practical look at the concepts and techniques you need to know to get the most out of real business data - Updates that incorporate input from readers, changes in the field, and more material on statistics and machine learning - Dozens of algorithms and implementation examples, all in easily understood pseudo-code and suitable for use in real-world, large-scale data mining projects - Complete classroom support for instructors at www.mkp.com/datamining2e companion site
Iconvet 2021
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Author : Made Windu Antara Kesiman
language : en
Publisher: European Alliance for Innovation
Release Date : 2022-02-21
Iconvet 2021 written by Made Windu Antara Kesiman and has been published by European Alliance for Innovation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-21 with Social Science categories.
The 4th International Conference on Vocational Education and Technology is an international forum specially designed by the Faculty of Engineering and Vocational, Universitas Pendidikan Ganesha to bring together academics, researchers and professionals to present their ideas and experiences in a scientific event. IConVET 2021 welcomes paper submissions for innovative work from researchers from diverse backgrounds including students, teachers, researchers, practitioners and the general public in Education, Vocational and Technology. The IConVET-2021 theme is "Digital Transformation on TVET in The New Normal Era”. This 4th International Conference on Vocational and Technology is attended by participants from more than 29 different university and institute, who represent Two different countries, namely Indonesia and France. Therefore, on behalf of the committee and the Research Institute of Universitas Pendidikan Ganesha. The success of the IConVET-2021 is due to the support of many people i.e. steering committee members, program committee members, organizing committee members, authors, presenters, participants, keynote speakers, student committee, and people in other various roles. We would like to thank them all.
Manajemen Data
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Author : Made Sudarma
language : id
Publisher: PT. Sonpedia Publishing Indonesia
Release Date : 2024-07-28
Manajemen Data written by Made Sudarma 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 2024-07-28 with Business & Economics categories.
Manajemen Data adalah rangkaian praktik, proses, dan kegiatan yang bertujuan untuk mengelola data secara efektif dan efisien dari pengumpulan hingga penggunaan akhir. Ini mencakup semua aspek dari siklus hidup data, termasuk pengumpulan, pembersihan, penyimpanan, pengolahan, analisis, dan penyajian data. Tujuan utamanya adalah untuk memastikan bahwa data tersedia, terpercaya, relevan, dan dapat diakses dengan mudah oleh orang yang membutuhkan, seperti pengguna bisnis atau pengambil keputusan. Manajemen data sangat penting karena memainkan peran kunci dalam kesuksesan dan kelangsungan hidup organisasi di era digital saat ini. Berikut beberapa alasan mengapa manajemen data begitu vital. Secara keseluruhan, manajemen data merupakan fondasi bagi keberhasilan organisasi dalam memanfaatkan potensi data mereka. Dengan melakukan manajemen data yang efektif, organisasi dapat mengoptimalkan penggunaan data mereka untuk mencapai tujuan bisnis dan memperoleh keunggulan kompetitif.
Buku Ajar Data Mining
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Author : Carudin Carudin
language : id
Publisher: PT. Sonpedia Publishing Indonesia
Release Date : 2024-05-09
Buku Ajar Data Mining written by Carudin Carudin 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 2024-05-09 with Technology & Engineering categories.
Buku Ajar Data Mining ini disusun sebagai buku panduan komprehensif yang menjelajahi kompleksitas dan mendalamnya tentang data mining. Buku ini dapat digunakan oleh pendidik dalam melaksanakan kegiatan pembelajaran di bidang data mining dan di berbagai bidang Ilmu terkait lainnya. Selain itu, buku ini juga dapat digunakan sebagai panduan dan referensi mengajar mata kuliah data mining dan menyesuaikan dengan Rencana Pembelajaran Semester tingkat Perguruan Tinggi masing-masing. Secara garis besar, buku ajar ini pembahasannya mulai dari Pengenalan dan ruang lingkup data mining, Jenis dan Kualitas data, Eksplorasi data, Teknik Klustering dalam data mining, Regresi dan Analisis Prediktif. Selain itu, ada beberapa materi penting lainnya dan studi kasus yang tentunya membuat buku ajar ini menjadi buku yang sangat tepat dan relevan untuk digunakan sebagai bahan ajar. Buku ajar ini disusun secara sistematis, ditulis dengan bahasa yang jelas dan mudah dipahami, dan dapat digunakan dalam kegiatan pembelajaran.