Knowledge Discovery from Data Streams

· CRC Press
電子書
255
符合資格
評分和評論未經驗證  瞭解詳情

關於本電子書

Since the beginning of the Internet age and the increased use of ubiquitous computing devices, the large volume and continuous flow of distributed data have imposed new constraints on the design of learning algorithms. Exploring how to extract knowledge structures from evolving and time-changing data, Knowledge Discovery from Data Streams presents a coherent overview of state-of-the-art research in learning from data streams.

The book covers the fundamentals that are imperative to understanding data streams and describes important applications, such as TCP/IP traffic, GPS data, sensor networks, and customer click streams. It also addresses several challenges of data mining in the future, when stream mining will be at the core of many applications. These challenges involve designing useful and efficient data mining solutions applicable to real-world problems. In the appendix, the author includes examples of publicly available software and online data sets.

This practical, up-to-date book focuses on the new requirements of the next generation of data mining. Although the concepts presented in the text are mainly about data streams, they also are valid for different areas of machine learning and data mining.

關於作者

Joao Gama is an associate professor and senior researcher in the Laboratory of Artificial Intelligence and Decision Support (LIAAD) at the University of Porto in Portugal.

為這本電子書評分

歡迎提供意見。

閱讀資訊

智慧型手機與平板電腦
只要安裝 Google Play 圖書應用程式 Android 版iPad/iPhone 版,不僅應用程式內容會自動與你的帳戶保持同步,還能讓你隨時隨地上網或離線閱讀。
筆記型電腦和電腦
你可以使用電腦的網路瀏覽器聆聽你在 Google Play 購買的有聲書。
電子書閱讀器與其他裝置
如要在 Kobo 電子閱讀器這類電子書裝置上閱覽書籍,必須將檔案下載並傳輸到該裝置上。請按照說明中心的詳細操作說明,將檔案傳輸到支援的電子閱讀器上。