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Data Mining with Rattle and R

The Art of Excavating Data for Knowledge Discovery

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 Data Mining

Exploring Hyperlinks, Contents, and Usage Data

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.

Sistem Informasi Manajemen

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.

Kitab lengkap KUHPer (Kitab Undang-Undang Hukum Perdata), KUHAPer (Kitab Undang-Undang Hukum Acara Perdata), KUHP (Kitab Undang-Undang Hukum Pidana), KUHAP (Kitab Undang-Undang Hukum Acara Pidana), KUHD (Kitab Undang-Undang Hukum Dagang).

Indonesian civil code, civil procedural code, criminal code, criminal procedural code, and commercial code; includes related laws and regulations.

Indonesian civil code, civil procedural code, criminal code, criminal procedural code, and commercial code; includes related laws and regulations.