Data Mining : Concepts and Techniques, 3/e (Hardcover)

Jiawei Han, Micheline Kamber, Jian Pei

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商品描述

The increasing volume of data in modern business and science calls for more complex and sophisticated tools. Although advances in data mining technology have made extensive data collection much easier, it’s still always evolving and there is a constant need for new techniques and tools that can help us transform this data into useful information and knowledge.

Since the previous edition’s publication, great advances have been made in the field of data mining. Not only does the third of edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understanding and application of the theory and practice of discovering patterns hidden in large data sets, it also focuses on new, important topics in the field: data warehouses and data cube technology, mining stream, mining social networks, and mining spatial, multimedia and other complex data. Each chapter is a stand-alone guide to a critical topic, presenting proven algorithms and sound implementations ready to be used directly or with strategic modification against live data. This is the resource you need if you want to apply today’s most powerful data mining techniques to meet real business challenges.


 

* 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

商品描述(中文翻譯)

現代商業和科學中不斷增加的數據量需要更複雜和精密的工具。儘管數據挖掘技術的進步使大規模數據收集變得更加容易,但它仍在不斷發展,需要新的技術和工具來將這些數據轉化為有用的信息和知識。

自上一版出版以來,數據挖掘領域取得了巨大的進展。第三版的《數據挖掘:概念與技術》不僅延續了傳統,為您提供理解和應用發現大數據集中隱藏模式的理論和實踐,還專注於該領域的新的重要主題:數據倉庫和數據立方體技術、流式挖掘、社交網絡挖掘以及空間、多媒體和其他複雜數據的挖掘。每一章都是一個獨立的關鍵主題指南,提供成熟的算法和可直接使用或根據實際數據進行戰略修改的實現。如果您想應用當今最強大的數據挖掘技術來應對真實的商業挑戰,這是您所需要的資源。

* 提供數十種算法和實現示例,均以偽代碼形式呈現,適用於實際的大規模數據挖掘項目。
* 討論高級主題,如挖掘對象關係數據庫、空間數據庫、多媒體數據庫、時間序列數據庫、文本數據庫、全球資訊網以及各個領域的應用。
* 提供全面而實用的概念和技術,幫助您充分利用數據。