| 2024-05894-0001 |
Tersedia di Perpustakaan Universitas Pelita Bangsa
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Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining. Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data
Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD).
| 2023-05837-0001 |
Tersedia di Perpustakaan Universitas Pelita Bangsa
|
| 2023-05841-0001 |
Tersedia di Perpustakaan Universitas Pelita Bangsa
|
| 2023-05842-0001 |
Tersedia di Perpustakaan Universitas Pelita Bangsa
|
Perkembangan teknologi dan komunikasi yang semakin meluas maka perlu pengembangan model palayanan bimbingan dan konseling yang lebih baik untuk mengikuti perubahan tersebut. Salah satu media yang dapat digunakan untuk meningkatkan kualitas layanan bimbingan dan konseling adalah aplikasi media video. Dengan penguasaan materi dan kemampuan yang baik oleh konselor dalam media video diharapkan akan membantu meningkatkan kualitas layanan serta ketercapaian materi bagi para siswa didik nantinya. Buku ini berisikan modul singkat bagaimana aplikasi video sebagai alternatif media dalam layanan bimbingan dan konseling.
B. VIDEO DALAM BIMBINGAN DAN KONSELING 1. ... Sinematografi sebagai ilmu terapan merupakan bidang ilmu yang membahas tentang teknik menangkap gambar dan menggabunggabungkan gambar tersebut sehingga menjadi rangkaian gambar yang dapat ...
Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable value to the ever increasing stores of electronic data that abound today. In performing data mining many decisions need to be made regarding the choice of methodology, the choice of data, the choice of tools, and the choice of algorithms. Throughout this book the reader is introduced to the basic concepts and some of the more popular algorithms of data mining. With a focus on the hands-on end-to-end process for data mining, Williams guides the reader through various capabilities of the easy to use, free, and open source Rattle Data Mining Software built on the sophisticated R Statistical Software. The focus on doing data mining rather than just reading about data mining is refreshing. The book covers data understanding, data preparation, data refinement, model building, model evaluation, and practical deployment. The reader will learn to rapidly deliver a data mining project using software easily installed for free from the Internet. Coupling Rattle with R delivers a very sophisticated data mining environment with all the power, and more, of the many commercial offerings.
Throughout this book the reader is introduced to the basic concepts and some of the more popular algorithms of data mining.
Web mining aims to discover useful information and knowledge from Web hyperlinks, page contents, and usage data. Although Web mining uses many conventional data mining techniques, it is not purely an application of traditional data mining due to the semi-structured and unstructured nature of the Web data. The field has also developed many of its own algorithms and techniques. Liu has written a comprehensive text on Web mining, which consists of two parts. The first part covers the data mining and machine learning foundations, where all the essential concepts and algorithms of data mining and machine learning are presented. The second part covers the key topics of Web mining, where Web crawling, search, social network analysis, structured data extraction, information integration, opinion mining and sentiment analysis, Web usage mining, query log mining, computational advertising, and recommender systems are all treated both in breadth and in depth. His book thus brings all the related concepts and algorithms together to form an authoritative and coherent text. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in Web mining and data mining both as a learning text and as a reference book. Professors can readily use it for classes on data mining, Web mining, and text mining. Additional teaching materials such as lecture slides, datasets, and implemented algorithms are available online.
The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in Web mining and data mining both as a learning text and as a reference book.
Dewasa ini, informasi menjadi sumber daya yang penting sejalan dengan perkembangan teknologi informasi dan komputer. Buku ini disajikan secara ringkas dan menggunakan bahasa Indonesia yang mudah dipahami bagi para mahasiswa dan pembaca yang berminat. Buku ini membahas konsep-konsep, teori-teori dan disajikan pula praktik-praktik sistem informasi terkait dengan praktik manajemen bisnis modem. Buku ini ditulis oleh Dr. Achmad Sudiro, SE., ME., Perdana Rahadhan, SE., dan Ir. Nur Prima, MM., Tim Dosen pengajar Sistem Informasi Manajemen pada jurusan Manajemen Fakultas Ekonomi Universitas Brawijaya.
Buku ini ditulis oleh Dr. Achmad Sudiro, SE., ME., Perdana Rahadhan, SE., dan Ir. Nur Prima, MM., Tim Dosen pengajar Sistem Informasi Manajemen pada jurusan Manajemen Fakultas Ekonomi Universitas Brawijaya.
