Data Mining Dan Aplikasinya
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Data Mining Dan Aplikasinya
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Author : Mustika
language : id
Publisher: Penerbit Widina
Release Date : 2021-12-04
Data Mining Dan Aplikasinya written by Mustika and has been published by Penerbit Widina this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-04 with Technology & Engineering categories.
Data mining merupakan suatu alat yang memungkinkan para pengguna untuk mengakses secara cepat data dengan jumlah yang besar juga sebagai suatu proses ekstraksi atau penggalian data dan informasi yang besar, yang belum diketahui sebelumnya, namun dapat dipahami dan berguna dari database yang besar serta digunakan untuk membuat suatu keputusan bisnis yang sangat penting. Data mining menggambarkan sebuah pengumpulan teknik-teknik dengan tujuan untuk menemukan pola-pola yang tidak diketahui pada data yang telah dikumpulkan. Data mining memungkinkan pemakai menemukan pengetahuan dalam data dari database yang tidak mungkin diketahui keberadaannya oleh pemakai. Teknik data mining digunakan untuk memeriksa basis data berukuran besar sebagai cara untuk menemukan pola yang baru dan berguna. Maka, buku ini menyajikan segala komponen yang dibutuhkan oleh para pengelola data dalam menjalankan pengelolaannya untuk menciptakan kualitas, yang dapat menjadikan pengolahan data secara efektif. Oleh sebab itu buku ini hadir kehadapan sidang pembaca sebagai bagian dari upaya diskusi sekaligus dalam rangka melengkapi khazanah keilmuan dibidang informatika, sehingga buku ini sangat cocok untuk dijadikan bahan acuan bagi kalangan intelektual dilingkungan perguruan tinggi ataupun praktisi yang berkecimpung langsung dibidang informatika.
Data Mining And Knowledge Discovery Handbook
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Author : Oded Maimon
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-05-28
Data Mining And Knowledge Discovery Handbook written by Oded Maimon 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 2006-05-28 with Computers categories.
Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This book first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security. Data Mining and Knowledge Discovery Handbook is designed for research scientists and graduate-level students in computer science and engineering. This book is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.
Advances In Data Mining
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Author : Petra Perner
language : en
Publisher: Springer Science & Business Media
Release Date : 2002-08-21
Advances In Data Mining written by Petra Perner 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 2002-08-21 with Business & Economics categories.
This book presents six thoroughly reviewed and revised full papers describing selected projects on data mining. Three papers deal with data mining and e-commerce, focusing on sequence rule analysis, association rule mining and knowledge discovery in databases, and intelligent e-marketing with Web mining. One paper is devoted to experience management and process learning. The last two papers report on medical applications, namely on genomic data processing and on case-based reasoning for prognosis of influenza.
Advanced Techniques In Knowledge Discovery And Data Mining
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Author : Nikhil Pal
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-12-31
Advanced Techniques In Knowledge Discovery And Data Mining written by Nikhil Pal 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 2007-12-31 with Computers categories.
Clear and concise explanations to understand the learning paradigms. Chapters written by leading world experts.
Privacy Preserving Data Mining
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Author : Charu C. Aggarwal
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-06-10
Privacy Preserving Data Mining written by Charu C. Aggarwal 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 2008-06-10 with Computers categories.
Advances in hardware technology have increased the capability to store and record personal data. This has caused concerns that personal data may be abused. This book proposes a number of techniques to perform the data mining tasks in a privacy-preserving way. This edited volume contains surveys by distinguished researchers in the privacy field. Each survey includes the key research content as well as future research directions of a particular topic in privacy. The book is designed for researchers, professors, and advanced-level students in computer science, but is also suitable for practitioners in industry.
Data Mining
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Author : Robert Stahlbock
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-11-10
Data Mining written by Robert Stahlbock 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 2009-11-10 with Computers categories.
Over the course of the last twenty years, research in data mining has seen a substantial increase in interest, attracting original contributions from various disciplines including computer science, statistics, operations research, and information systems. Data mining supports a wide range of applications, from medical decision making, bioinformatics, web-usage mining, and text and image recognition to prominent business applications in corporate planning, direct marketing, and credit scoring. Research in information systems equally reflects this inter- and multidisciplinary approach, thereby advocating a series of papers at the intersection of data mining and information systems research. This special issue of Annals of Information Systems contains original papers and substantial extensions of selected papers from the 2007 and 2008 International Conference on Data Mining (DMIN’07 and DMIN’08, Las Vegas, NV) that have been rigorously peer-reviewed. The issue brings together topics on both information systems and data mining, and aims to give the reader a current snapshot of the contemporary research and state of the art practice in data mining.
Metalearning
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Author : Pavel Brazdil
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-11-26
Metalearning written by Pavel Brazdil 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 2008-11-26 with Computers categories.
Metalearning is the study of principled methods that exploit metaknowledge to obtain efficient models and solutions by adapting machine learning and data mining processes. While the variety of machine learning and data mining techniques now available can, in principle, provide good model solutions, a methodology is still needed to guide the search for the most appropriate model in an efficient way. Metalearning provides one such methodology that allows systems to become more effective through experience. This book discusses several approaches to obtaining knowledge concerning the performance of machine learning and data mining algorithms. It shows how this knowledge can be reused to select, combine, compose and adapt both algorithms and models to yield faster, more effective solutions to data mining problems. It can thus help developers improve their algorithms and also develop learning systems that can improve themselves. The book will be of interest to researchers and graduate students in the areas of machine learning, data mining and artificial intelligence.
Data Mining Dan Aplikasinya Contoh Kasus Di Industri Manufaktur Dan Jasa
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Author : Rina Fitriana
language : id
Publisher: wawasan Ilmu
Release Date :
Data Mining Dan Aplikasinya Contoh Kasus Di Industri Manufaktur Dan Jasa written by Rina Fitriana and has been published by wawasan Ilmu this book supported file pdf, txt, epub, kindle and other format this book has been release on with Technology & Engineering categories.
Data Mining merupakan salah satu mata kuliah pilihan di Prodi Teknik Industri di Indonesia. Saat ini masih sedikit sekali buku dalam bahasa Indonesia yang membahas metode-metode Data Mining dengan metode yang berbeda-beda. Pendekatan dan metode-metode untuk Data Mining di bidang Teknik Industri sangat luas, sehingga referensi yang digunakan untuk memenuhi pembelajaran sesuai RPS berasal dari berbagai referensi. Hal ini menyulitkan bagi mahasiswa. Kelebihan buku ajar ini adalah metode-metode yang disampaikan di setiap bab buku ini mewakili beberapa metode yang berbeda-beda sesuai dengan materi dalam RPS yang telah disusun. Buku ini juga dilengkapi dengan contoh soal dan jawaban dan penggunaan software Weka, R, Minitab, Rapid Miner untuk memudahkan pemahaman pembaca terhadap keseluruhan bahasan dalam buku ini. Selain itu juga di setiap bab diberikan penjelasan langkah-langkah penggunaan rumus dan software yang lebih mudah dipahami oleh pembaca.
Large Scale Parallel Data Mining
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Author : Mohammed J. Zaki
language : en
Publisher: Springer
Release Date : 2003-07-31
Large Scale Parallel Data Mining written by Mohammed J. Zaki and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-07-31 with Computers categories.
With the unprecedented growth-rate at which data is being collected and stored electronically today in almost all fields of human endeavor, the efficient extraction of useful information from the data available is becoming an increasing scientific challenge and a massive economic need. This book presents thoroughly reviewed and revised full versions of papers presented at a workshop on the topic held during KDD'99 in San Diego, California, USA in August 1999 complemented by several invited chapters and a detailed introductory survey in order to provide complete coverage of the relevant issues. The contributions presented cover all major tasks in data mining including parallel and distributed mining frameworks, associations, sequences, clustering, and classification. All in all, the volume presents the state of the art in the young and dynamic field of parallel and distributed data mining methods. It will be a valuable source of reference for researchers and professionals.
Association Rule Hiding For Data Mining
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Author : Aris Gkoulalas-Divanis
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-05-17
Association Rule Hiding For Data Mining written by Aris Gkoulalas-Divanis 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 2010-05-17 with Computers categories.
Privacy and security risks arising from the application of different data mining techniques to large institutional data repositories have been solely investigated by a new research domain, the so-called privacy preserving data mining. Association rule hiding is a new technique in data mining, which studies the problem of hiding sensitive association rules from within the data. Association Rule Hiding for Data Mining addresses the problem of "hiding" sensitive association rules, and introduces a number of heuristic solutions. Exact solutions of increased time complexity that have been proposed recently are presented, as well as a number of computationally efficient (parallel) approaches that alleviate time complexity problems, along with a thorough discussion regarding closely related problems (inverse frequent item set mining, data reconstruction approaches, etc.). Unsolved problems, future directions and specific examples are provided throughout this book to help the reader study, assimilate and appreciate the important aspects of this challenging problem. Association Rule Hiding for Data Mining is designed for researchers, professors and advanced-level students in computer science studying privacy preserving data mining, association rule mining, and data mining. This book is also suitable for practitioners working in this industry.