Data Mining: The Textbook
This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues.
This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues. It goes beyond the traditional focus on data mining problems to introduce advanced data types such as text, time series, discrete sequences, spatial data, graph data, and social networks. Until now, no single book has addressed all these topics in a comprehensive and integrated way.
The chapters of this book fall into one of three categories:Fundamental chapters: Data mining has four main problems, which correspond to clustering, classification, association pattern mining, and outlier analysis. These chapters comprehensively discuss a wide variety of methods for these problems.Domain chapters: These chapters discuss the specific methods used for different domains of data such as text data, time-series data, sequence data, graph data, and spatial data.Application chapters: These chapters study important applications such as stream mining, Web mining, ranking, recommendations, social networks, and privacy preservation.
The domain chapters also have an applied flavor.Appropriate for both introductory and advanced data mining courses, Data Mining: The Textbook balances mathematical details and intuition. It contains the necessary mathematical details for professors and researchers, but it is presented in a simple and intuitive style to improve accessibility for students and industrial practitioners (including those with a limited mathematical background). Numerous illustrations, examples, and exercises are included, with an emphasis on semantically interpretable examples.
Aggarwal, Charu C. Data mining: the textbook. Springer, 2015.
|Data Mining Practical Machine Learning Tools and Techniques|
Thứ Năm, 15:14 06/05/2021
Khai thác danh mục tạp chí mở Directory of Open Access Journals (DOAJ)Thứ Sáu, 15:50 18/08/2023
Đăng ký sử dụng miễn phí bộ CSDL eLibraryUSAChủ Nhật, 15:56 06/08/2023
Tài nguyên giáo dục mở Việt Nam (Vietnam Open Educational Resources – VOER)Thứ Sáu, 19:07 02/12/2022
Tài nguyên truy cập mở Digital Commons NetworkThứ Sáu, 15:15 04/11/2022
Reflect 4: Listening & Speaking (Student's Book)Thứ Tư, 13:37 22/11/2023
Reflect 3: Reading & Writing (Teacher's guide)Thứ Tư, 13:26 22/11/2023
Reflect 3: Listening & Speaking (Student's Book)Thứ Tư, 13:14 22/11/2023
Giáo trình Vật lý 1Thứ Ba, 12:56 14/11/2023
Giáo trình Quản trị chiến lượcThứ Ba, 10:24 14/11/2023
Product Design and DevelopmentThứ Năm, 14:38 06/05/2021
Apparel Machinery and EquipmentsThứ Năm, 13:50 06/05/2021
A practical guide to textile testingThứ Năm, 13:04 06/05/2021
Mechanical measurements. Second editionThứ Năm, 10:03 06/05/2021
Giáo trình Công nghệ MayThứ Năm, 09:35 06/05/2021
Copyright © 2018 Hanoi University of Industry.