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Titlebook: Handbook of Massive Data Sets; James Abello,Panos M. Pardalos,Mauricio G. C. Rese Book 2002 Springer-Verlag US 2002 Web Crawling.algorithm

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發(fā)表于 2025-3-21 17:02:19 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Handbook of Massive Data Sets
編輯James Abello,Panos M. Pardalos,Mauricio G. C. Rese
視頻videohttp://file.papertrans.cn/422/421603/421603.mp4
叢書名稱Massive Computing
圖書封面Titlebook: Handbook of Massive Data Sets;  James Abello,Panos M. Pardalos,Mauricio G. C. Rese Book 2002 Springer-Verlag US 2002 Web Crawling.algorithm
描述The proliferation of massive data sets brings with it a series of special computational challenges. This "data avalanche" arises in a wide range of scientific and commercial applications. With advances in computer and information technologies, many of these challenges are beginning to be addressed by diverse inter-disciplinary groups, that indude computer scientists, mathematicians, statisticians and engineers, working in dose cooperation with application domain experts. High profile applications indude astrophysics, bio-technology, demographics, finance, geographi- cal information systems, government, medicine, telecommunications, the environment and the internet. John R. Tucker of the Board on Mathe- matical Seiences has stated: "My interest in this problern (Massive Data Sets) isthat I see it as the rnost irnportant cross-cutting problern for the rnathernatical sciences in practical problern solving for the next decade, because it is so pervasive. " The Handbook of Massive Data Sets is comprised of articles writ- ten by experts on selected topics that deal with some major aspect of massive data sets. It contains chapters on information retrieval both in the internet and in the t
出版日期Book 2002
關(guān)鍵詞Web Crawling; algorithms; data compression; data warehouse; image processing; information; information sys
版次1
doihttps://doi.org/10.1007/978-1-4615-0005-6
isbn_softcover978-1-4613-4882-5
isbn_ebook978-1-4615-0005-6Series ISSN 1569-2698 Series E-ISSN 2468-8738
issn_series 1569-2698
copyrightSpringer-Verlag US 2002
The information of publication is updating

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Handbook of Massive Data Sets978-1-4615-0005-6Series ISSN 1569-2698 Series E-ISSN 2468-8738
板凳
發(fā)表于 2025-3-22 02:12:08 | 只看該作者
Fionn Murtagh,Jean-Luc StarckAngeregt durch mehrere F?lle von Laktatazidose mit t?dlichem Ausgang, die wir auf unserer Intensivstation beobachten konnten, beschlossen wir, eine kurze Studie mit laktath?ltigen Elektrolytl?sungen zu machen. Ein Patient hat uns im besonderen dazu bewogen.
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Algorithmic Aspects of Information Retrieval on the Web been addressed in the classic information retrieval literature. This chapter will survey emerging techniques for information retrieval in the Web context and discuss some of the pertinent open problems.
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External Memory Data Structuresneeds to be changed dynamically. In this chapter we discuss recent advances in the development of provably worst-case efficient external memory dynamic data structures. We also briefly discuss some of the most popular external data structures used in practice.
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發(fā)表于 2025-3-23 02:36:26 | 只看該作者
Optimization Methods in Massive Data Setsn that improves generalization is implemented via an effective procedure that utilizes a polyhedral norm or a concave function minimization. Massive data is separated using a linear programming chunking algorithm as well as a successive overrelaxation algorithm, each of which is capable of processing data with millions of points.
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