Randomized Algorithms in Automatic Control and Data Mining (Intelligent Systems Reference Library)
暫譯: 自動控制與資料探勘中的隨機演算法(智慧系統參考文獻庫)
Oleg Granichin, Zeev (Vladimir) Volkovich, Dvora Toledano-Kitai
- 出版商: Springer
- 出版日期: 2014-07-30
- 售價: $4,510
- 貴賓價: 9.5 折 $4,285
- 語言: 英文
- 頁數: 251
- 裝訂: Hardcover
- ISBN: 3642547850
- ISBN-13: 9783642547850
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相關分類:
Algorithms-data-structures、Data-mining
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商品描述
In the fields of data mining and control, the huge amount of unstructured data and the presence of uncertainty in system descriptions have always been critical issues. The book Randomized Algorithms in Automatic Control and Data Mining introduces the readers to the fundamentals of randomized algorithm applications in data mining (especially clustering) and in automatic control synthesis. The methods proposed in this book guarantee that the computational complexity of classical algorithms and the conservativeness of standard robust control techniques will be reduced. It is shown that when a problem requires "brute force" in selecting among options, algorithms based on random selection of alternatives offer good results with certain probability for a restricted time and significantly reduce the volume of operations.
商品描述(中文翻譯)
在資料探勘和控制領域,龐大的非結構化數據以及系統描述中的不確定性一直是關鍵問題。這本書《隨機演算法在自動控制和資料探勘中的應用》向讀者介紹了隨機演算法在資料探勘(特別是聚類)和自動控制合成中的基本原理。本書提出的方法保證了經典演算法的計算複雜度和標準穩健控制技術的保守性將會降低。研究顯示,當一個問題需要在選項中進行「暴力」選擇時,基於隨機選擇替代方案的演算法在有限的時間內以一定的概率提供良好的結果,並顯著減少操作的數量。