Data Mining: Concepts and Techniques, 4/e (美國原版)

Data Mining: Concepts and Techniques, Fourth Edition provides the theories and methods for processing data or information used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from collected data, known as KDD. The book focuses on the feasibility, usefulness, effectiveness and scalability of techniques of large datasets. After describing data mining, the authors explain the methods of knowing, preprocessing, processing and warehousing data. They then present 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. Users from computer science students, application developers, business professionals, and researchers who seek information on data mining will find this resource very helpful.

《資料探勘：概念與技術，第四版》提供了處理在各種應用中使用的資料或資訊的理論和方法。具體而言，它解釋了資料探勘和用於從收集到的資料中發現知識的工具，即KDD。該書著重於大型資料集技術的可行性、有用性、效果和可擴展性。在描述資料探勘之後，作者解釋了了解、預處理、處理和數據倉儲的方法。然後，他們介紹了關於數據倉儲、線上分析處理（OLAP）和數據立方體技術的資訊。接著，描述了針對大型資料集進行頻繁模式、關聯和相關性探勘的方法。

該書詳細介紹了資料分類的方法，並介紹了資料聚類的概念和方法。其餘章節討論了異常檢測以及資料探勘中的趨勢、應用和研究前沿。計算機科學學生、應用開發人員、商業專業人士和尋求資料探勘資訊的研究人員將會發現這本資源非常有幫助。