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Titlebook: Big Data Analytics; First International Srinath Srinivasa,Vasudha Bhatnagar Conference proceedings 2012 Springer-Verlag Berlin Heidelberg

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31#
發(fā)表于 2025-3-26 23:20:59 | 只看該作者
I/O Efficient Algorithms for Block Hessenberg Reduction Using Panel Approach nonsymmetric matrix to banded Hessenberg form of bandwidth . for varying values of . and . (the size of the internal memory), on external memory model introduced by Aggarwal and Vitter for the I/O complexity and show that the reduction can be performed in . I/Os.
32#
發(fā)表于 2025-3-27 03:19:21 | 只看該作者
33#
發(fā)表于 2025-3-27 08:46:16 | 只看該作者
34#
發(fā)表于 2025-3-27 10:23:24 | 只看該作者
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/185590.jpg
35#
發(fā)表于 2025-3-27 17:24:29 | 只看該作者
https://doi.org/10.1007/978-3-642-35542-4active learning; data warehouse; large-scale data analysis; probability; social engineering; algorithm an
36#
發(fā)表于 2025-3-27 19:08:53 | 只看該作者
978-3-642-35541-7Springer-Verlag Berlin Heidelberg 2012
37#
發(fā)表于 2025-3-28 00:40:11 | 只看該作者
Simon A. Holoubek,David J. TerrisThe amount of data collected is increasing and the time window to leverage this has been decreasing. To satisfy the twin requirements, both algorithms and systems have to keep pace. The goal of this tutorial is to provide an overview of the common problems, algorithms, and systems for handling large-scale analytics tasks.
38#
發(fā)表于 2025-3-28 03:49:56 | 只看該作者
Scalable Analytics – Algorithms and SystemsThe amount of data collected is increasing and the time window to leverage this has been decreasing. To satisfy the twin requirements, both algorithms and systems have to keep pace. The goal of this tutorial is to provide an overview of the common problems, algorithms, and systems for handling large-scale analytics tasks.
39#
發(fā)表于 2025-3-28 06:43:21 | 只看該作者
40#
發(fā)表于 2025-3-28 12:15:46 | 只看該作者
Big Data Analytics978-3-642-35542-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
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