標題: Titlebook: Data-Intensive Text Processing with MapReduce; Jimmy Lin,Chris Dyer Book 2010 Springer Nature Switzerland AG 2010 [打印本頁] 作者: 柳條筐 時間: 2025-3-21 16:44
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書目名稱Data-Intensive Text Processing with MapReduce讀者反饋學科排名
作者: 表示問 時間: 2025-3-21 23:45
Graph Algorithms,e of web page quality based on the structure of hyperlinks, which is used in ranking results for web search. As one of the first applications of MapReduce, PageRank exemplifies a large class of graph algorithms that can be concisely captured in the programming model. We will discuss PageRank in deta作者: 低位的人或事 時間: 2025-3-22 01:13 作者: Kindle 時間: 2025-3-22 07:37 作者: embolus 時間: 2025-3-22 12:21 作者: Gudgeon 時間: 2025-3-22 14:03 作者: Gudgeon 時間: 2025-3-22 18:58
Synthesis Lectures on Human Language Technologieshttp://image.papertrans.cn/d/image/263325.jpg作者: 受人支配 時間: 2025-3-23 00:49
Data-Intensive Text Processing with MapReduce978-3-031-02136-7Series ISSN 1947-4040 Series E-ISSN 1947-4059 作者: Conflict 時間: 2025-3-23 04:48
978-3-031-01008-8Springer Nature Switzerland AG 2010作者: Inscrutable 時間: 2025-3-23 06:59
Concerted European Action on Magnets (CEAM)ta processing on clusters of commodity servers. It was originally developed by Google and built on well-known principles in parallel and distributed processing dating back several decades. MapReduce has since enjoyed widespread adoption via an open-source implementation called Hadoop, whose developm作者: 情感 時間: 2025-3-23 13:09 作者: CULP 時間: 2025-3-23 15:04
NGC (New General Catalogue) Objects,mapper, the reducer, and optionally, the combiner and the partitioner. All other aspects of execution are handled transparently by the execution framework—on clusters ranging from a single node to a few thousand nodes, over datasets ranging from gigabytes to petabytes. However, this also means that 作者: 織布機 時間: 2025-3-23 19:26 作者: 狂熱語言 時間: 2025-3-23 22:13
Special Provisions on Tortfeasorsnown as the web graph), social networks (manifest in the flow of email, phone call patterns, connections on social networking sites, etc.), and transportation networks (roads, bus routes, flights, etc.).Our very own existence is dependent on an intricate metabolic and regulatory network, which can b作者: Sinus-Rhythm 時間: 2025-3-24 04:37 作者: 高射炮 時間: 2025-3-24 08:29
https://doi.org/10.1007/978-3-319-07839-7, but there is consensus that great value lies buried in them, waiting to be unlocked by the right computational tools. In the commercial sphere, business intelligence—driven by the ability to gather data from a dizzying array of sources—promises to help organizations better understand their custome作者: 抵消 時間: 2025-3-24 11:19
Introduction,rocessing dating back several decades. MapReduce has since enjoyed widespread adoption via an open-source implementation called Hadoop, whose development was led by Yahoo (now an Apache project).Today, a vibrant software ecosystem has sprung up around Hadoop, with significant activity in both industry and academia.作者: Meager 時間: 2025-3-24 16:18 作者: Costume 時間: 2025-3-24 22:40 作者: Hippocampus 時間: 2025-3-25 01:22
https://doi.org/10.1007/978-3-319-07839-7erious problems. They are brittle with respect to the natural variation found in language, and developing systems that can deal with inputs from diverse domains is very labor intensive. Furthermore, when these systems fail, they often do so catastrophically, unable to offer even a “best guess” as to what the desired analysis of the input might be.作者: 摘要 時間: 2025-3-25 05:04 作者: RAFF 時間: 2025-3-25 10:28
Concerted European Action on Magnets (CEAM)rocessing dating back several decades. MapReduce has since enjoyed widespread adoption via an open-source implementation called Hadoop, whose development was led by Yahoo (now an Apache project).Today, a vibrant software ecosystem has sprung up around Hadoop, with significant activity in both industry and academia.作者: 折磨 時間: 2025-3-25 15:12
VARIATION 12: Parallelmontagen,problems are independent [5], they can be tackled in parallel by different workers—threads in a processor core, cores in a multi-core processor, multiple processors in a machine, or many machines in a cluster. Intermediate results from each individual worker are then combined to yield the final output.作者: STENT 時間: 2025-3-25 15:57
https://doi.org/10.1007/978-3-319-07839-7 and applications, larger datasets lead to more effective algorithms for a wide range of tasks, from machine translation to spam detection. In the natural and physical sciences, the ability to analyze massive amounts of data may provide the key to unlocking the secrets of the cosmos or the mysteries of life.作者: Optometrist 時間: 2025-3-25 20:57 作者: 幾何學家 時間: 2025-3-26 01:55
Book 2010ties in commerce, science, and computing applications. Processing the enormous quantities of data necessary for these advances requires large clusters, making distributed computing paradigms more crucial than ever. MapReduce is a programming model for expressing distributed computations on massive d作者: 容易做 時間: 2025-3-26 05:44 作者: 谷物 時間: 2025-3-26 11:42
EM Algorithms for Text Processing,erious problems. They are brittle with respect to the natural variation found in language, and developing systems that can deal with inputs from diverse domains is very labor intensive. Furthermore, when these systems fail, they often do so catastrophically, unable to offer even a “best guess” as to what the desired analysis of the input might be.作者: 啪心兒跳動 時間: 2025-3-26 14:52 作者: Anthem 時間: 2025-3-26 18:31
MapReduce Basics,d very early in typical undergraduate curricula. The basic idea is to partition a large problem into smaller sub-problems. To the extent that the sub-problems are independent [5], they can be tackled in parallel by different workers—threads in a processor core, cores in a multi-core processor, multi作者: 蕨類 時間: 2025-3-27 00:26
MapReduce Algorithm Design,mapper, the reducer, and optionally, the combiner and the partitioner. All other aspects of execution are handled transparently by the execution framework—on clusters ranging from a single node to a few thousand nodes, over datasets ranging from gigabytes to petabytes. However, this also means that 作者: alabaster 時間: 2025-3-27 04:21 作者: concise 時間: 2025-3-27 05:25 作者: maudtin 時間: 2025-3-27 09:38 作者: Heretical 時間: 2025-3-27 15:50
Closing Remarks,, but there is consensus that great value lies buried in them, waiting to be unlocked by the right computational tools. In the commercial sphere, business intelligence—driven by the ability to gather data from a dizzying array of sources—promises to help organizations better understand their custome作者: FER 時間: 2025-3-27 21:30
arbeit, welche das Gemeinschaftsargument aus ihrer Perspektive konterkariert und zu neuen sozialenAbstiegssorgen führt. überzeugt von der Richtigkeit und Angemessenheit der eigenen Gemeinschaftsmodelle sowie zwecks Bearbeitung der Abstiegssorgen stellen die Arbeitenden der diagnostizierten Entwertun作者: pantomime 時間: 2025-3-28 00:27
2210-7371 ome as a standard reference work for the development of NBCDs. Moreover, this book aims to stimulate discussions and further our thinking to ensure that decisions regarding the approval of complex drugs are made with relevant scientific data on the table. .978-3-319-35851-2978-3-319-16241-6Series ISSN 2210-7371 Series E-ISSN 2210-738X 作者: 拖網(wǎng) 時間: 2025-3-28 06:05
The Manufacture of Boron,hich the boron layer could sometimes be built up to a thickness of ? in. When the furnace was cooled, the boron layer was broken away mechanically from an intermediate zone of high-boron boron carbide which formed by diffusion. The boron lumps had a shiny-black, conchoidal fracture. The density was 作者: Assignment 時間: 2025-3-28 07:02 作者: 范例 時間: 2025-3-28 11:59
erschienen sind. Der Verlag stellt mit diesem Archiv Quellen für die historische wie auch die disziplingeschichtliche Forschung zur Verfügung, die jeweils im historischen Kontext betrachtet werden müssen. Dieser Titel erschien in der Zeit vor 1945 und wird daher in seiner zeittypischen politisch-ide
