Next Generation of Data Mining (Hardcover)
暫譯: 下一代資料探勘 (精裝版)
Hillol Kargupta, Jiawei Han, Philip S. Yu, Rajeev Motwani, Vipin Kumar
- 出版商: CRC
- 出版日期: 2008-12-01
- 售價: $3,980
- 貴賓價: 9.5 折 $3,781
- 語言: 英文
- 頁數: 601
- 裝訂: Hardcover
- ISBN: 1420085867
- ISBN-13: 9781420085860
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相關分類:
Data-mining
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其他版本:
Next Generation of Data Mining
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商品描述
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.
商品描述(中文翻譯)
從美國國家科學基金會的「下一代數據挖掘與網絡驅動創新發現研討會」(NGDM 07)中汲取靈感,下一代數據挖掘 探討了數據挖掘中的新興技術和應用,以及該領域面臨的潛在挑戰。
本書匯集了來自不同學科的頂尖專家的觀點,討論即將面臨的挑戰並概述計算方法。貢獻者們研究了生態學、天文學、社會科學、醫學、金融等領域如何受益於下一代數據挖掘技術。他們檢視了與普遍存在的、分散式的和高效能數據挖掘相關的算法、中介軟體、基礎設施和隱私政策。他們還討論了新技術(如語義網)對數據挖掘的影響,並提供了隱私保護機制的建議。
來自各種來源的大量複雜數據的可用性急劇增加,為數據挖掘帶來了計算、存儲、通信和人機互動的挑戰。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的數據挖掘問題的有前景的方法。