Next Generation of Data Mining (Hardcover)

Drawn from the US National Science Foundation’s Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation (NGDM 07), Next Generation of Data Mining explores emerging technologies and applications in data mining as well as potential challenges faced by the field.

Gathering perspectives from top experts across different disciplines, the book debates upcoming challenges and outlines computational methods. The contributors look at how ecology, astronomy, social science, medicine, finance, and more can benefit from the next generation of data mining techniques. They examine the algorithms, middleware, infrastructure, and privacy policies associated with ubiquitous, distributed, and high performance data mining. They also discuss the impact of new technologies, such as the semantic web, on data mining and provide recommendations for privacy-preserving mechanisms.

The dramatic increase in the availability of massive, complex data from various sources is creating computing, storage, communication, and human-computer interaction challenges for data mining. Providing a framework to better understand these fundamental issues, this volume surveys promising approaches to data mining problems that span an array of disciplines.

《下一代資料探勘》是根據美國國家科學基金會（NSF）的「下一代資料探勘和基於網絡的創新發現（NGDM 07）」研討會所整理的。該書探討了資料探勘領域中新興技術和應用，以及可能面臨的挑戰。

本書匯集了來自不同學科領域的頂尖專家的觀點，討論了即將面臨的挑戰並概述了計算方法。貢獻者們探討了生態學、天文學、社會科學、醫學、金融等領域如何從下一代資料探勘技術中受益。他們還研究了與普遍、分散和高性能資料探勘相關的算法、中間件、基礎設施和隱私政策。他們還討論了新技術（如語義網）對資料探勘的影響，並提供了保護隱私的機制建議。

來自各種來源的大規模、複雜資料的可用性急劇增加，為資料探勘帶來了計算、存儲、通信和人機交互方面的挑戰。本書提供了一個框架，以更好地理解這些基本問題，並調查了跨越多個學科領域的資料探勘問題的有前途的方法。