標(biāo)題: Titlebook: Large-Scale Parallel Data Mining; Mohammed J. Zaki,Ching-Tien Ho Conference proceedings 2000 Springer-Verlag Berlin Heidelberg 2000 classi [打印本頁] 作者: commingle 時間: 2025-3-21 19:04
書目名稱Large-Scale Parallel Data Mining影響因子(影響力)
書目名稱Large-Scale Parallel Data Mining影響因子(影響力)學(xué)科排名
書目名稱Large-Scale Parallel Data Mining網(wǎng)絡(luò)公開度
書目名稱Large-Scale Parallel Data Mining網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Large-Scale Parallel Data Mining被引頻次
書目名稱Large-Scale Parallel Data Mining被引頻次學(xué)科排名
書目名稱Large-Scale Parallel Data Mining年度引用
書目名稱Large-Scale Parallel Data Mining年度引用學(xué)科排名
書目名稱Large-Scale Parallel Data Mining讀者反饋
書目名稱Large-Scale Parallel Data Mining讀者反饋學(xué)科排名
作者: Blemish 時間: 2025-3-21 20:23 作者: 女上癮 時間: 2025-3-22 02:36
Mahesh V. Joshi,Eui-Hong Sam Han,George Karypis,Vipin Kumar作者: 認(rèn)識 時間: 2025-3-22 06:39
und die dabei wohl anstehende wohlfahrtsstaatliche Neuverteilung von Rechten und Pflichten zwischen den Generationen. Sozialstaatliche Reformnotwendigkeiten werden jedoch auch durch andere Faktoren bedingt wie den Wandel der Lebensformen und des Geschlechterverh?ltnisses, strukturelle Probleme des 作者: excrete 時間: 2025-3-22 09:58 作者: Minutes 時間: 2025-3-22 12:55
Graham Williams,Irfan Altas,Sergey Bakin,Peter Christen,Markus Hegland,Alonso Marquez,Peter Milne,Rarn titelt . (2.9.2003) und die Frankfurter Rundschau erwartet einen . beim Kampf der Betriebe um Führungskr?fte (27.12.2003). Die Zeit sieht . als . (15.1.2004), da — so die Financial Times Deutschland (7.10.2003) — . sei. Die Frankfurter Allgemeine Zeitung sorgt sich am 20.1.2004: . und auch Der Sp作者: 后退 時間: 2025-3-22 18:17 作者: otic-capsule 時間: 2025-3-22 22:32
Lawrence O. Hall,Nitesh Chawla,Kevin W. Bowyer,W. Philip Kegelmeyeren das Geb?ude der Wissenschaft umgestürzt wird und das traditionelle Paradigma durch ein neues ersetzt wird. Kopernikus oder Einstein — um zwei Beispiele zu nennen — bedeuten solche Revolutionierungen des wissenschaftlichen Weltbildes. Wenn wir dieses Entwicklungsmodell auf die gesellschaftlich-pol作者: 大范圍流行 時間: 2025-3-23 03:12 作者: 逢迎春日 時間: 2025-3-23 07:38 作者: alleviate 時間: 2025-3-23 09:51
A High Performance Implementation of the Data Space Transfer Protocol (DSTP)tributed data mining queries. In particular, we describe 1) Osiris’s ability to lay out data by row or by column, 2) a scheduler intended to handle requests using standard network links and requests using network links enjoying some type of premium service, and 3) a mechanism designed to hide latenc作者: 褲子 時間: 2025-3-23 15:01
Efficient Parallel Algorithms for Mining Associationswhich utilize the temporal or sequential relationships between events. It is shown that many existing algorithms actually belong to a few categories which are decided by the broader design strategies. Overall the aim of the chapter is to provide a comprehensive account of the challenges and issues i作者: MITE 時間: 2025-3-23 20:48 作者: anachronistic 時間: 2025-3-23 23:25 作者: 荒唐 時間: 2025-3-24 02:29
Parallel and Distributed Data Mining: An Introductionrom it. Data mining refers to the entire process of extracting useful and novel patterns/models from large datasets. Due to the huge size of data and amount of computation involved in data mining, high-performance computing is an essential component for any successful large-scale data mining applica作者: tendinitis 時間: 2025-3-24 10:30
The Integrated Delivery of Large-Scale Data Mining: The ACSys Data Mining Projectoperative Research Centre for Advanced Computational Systems (ACSys) is a link between industry and research focusing on the deployment of high performance computers for data mining. We present an overview of the work of the ACSys Data Mining projects where the use of large-scale, high performance c作者: alleviate 時間: 2025-3-24 12:30 作者: 沉著 時間: 2025-3-24 14:55 作者: mendacity 時間: 2025-3-24 22:36 作者: 無王時期, 時間: 2025-3-25 00:29 作者: 使迷醉 時間: 2025-3-25 07:11
Parallel Generalized Association Rule Mining on Large Scale PC Clusterorithms and candidate duplication based load balancing strategies for mining generalized association rules and showed our algorithms could attain good performance on 16 nodes parallel computer system. However, as the number of nodes increase, it would be difficult to achieve flat workload distributi作者: 一起 時間: 2025-3-25 09:51 作者: 消極詞匯 時間: 2025-3-25 12:42
Parallel Predictor Generationem to predict the properties of new data. For a wide range of techniques, combining predictors built on samples from the training dataset provides lower error rates, faster construction, or both, than a predictor built from the entire training dataset. This provides a natural parallelization strateg作者: 射手座 時間: 2025-3-25 16:48 作者: languid 時間: 2025-3-25 22:34 作者: Ptosis 時間: 2025-3-26 03:20
Collective, Hierarchical Clustering from Distributed, Heterogeneous Dataes local cluster models and then combines them to generate the global cluster model of the data. The proposed algorithm runs in .(|.|..) time, with a .(|.|.) space requirement and .(.) communication requirement, where . is the number of elements in the data set and . is the number of data sites. Thi作者: canvass 時間: 2025-3-26 06:40 作者: 改變立場 時間: 2025-3-26 09:50
naher Zukunft zweifellos eine Beschleunigung erf?hrt (vgl. Gei?ler/Meyer 1996: 336).. Dennoch sei darauf hingewiesen, dass es zwischen empirisch feststellbaren demografischen Ver?nderungen und deren ?ffentlicher Wahrnehmung zu unterscheiden gilt. Für die sozialwissenschaftliche Theorie und Empirie i作者: angiography 時間: 2025-3-26 14:27 作者: 檔案 時間: 2025-3-26 18:43 作者: 提名的名單 時間: 2025-3-26 22:36 作者: 虛弱 時間: 2025-3-27 02:02 作者: Ebct207 時間: 2025-3-27 06:00
Erik L. Johnson,Hillol Karguptaund Freiheit. Jetzt erhielten wir auch noch die Einheit. Und der Frieden, soweit wir uns von ihm einen . Begriff machen, also damit Abwesenheit von Krieg meinen, ist uns sicherer denn je geworden. Vor allem den gro?en Krieg, die ?nukleare Sintflut‘, die die, Unsterblichkeit der menschlichen Zivilisa作者: 倔強一點 時間: 2025-3-27 13:01 作者: expdient 時間: 2025-3-27 14:51 作者: 耐寒 時間: 2025-3-27 17:59
Active Mining in a Distributed Settingimilarity Discovery, can be re-architected so that they maintain valid mined information across i) database updates, and ii) user interactions in a client-server setting, while minimizing the amount of data re-accessed.作者: cortisol 時間: 2025-3-28 01:16 作者: 昏睡中 時間: 2025-3-28 03:38 作者: legislate 時間: 2025-3-28 06:47
A Data-Clustering Algorithm on Distributed Memory Multiprocessorsodes, and essentially linear scaleup in the size of the data set and in the number of clusters desired. For a 2 gigabyte test data set, our implementation drives the 16 node SP2 at more than 1.8 gigaflops.作者: 不可思議 時間: 2025-3-28 13:09
Parallel Sequence Mining on Shared-Memory Machiness can be solved independently on each processor requiring no synchronization. However, dynamic inter-class and intra-class load balancing must be exploited to ensure that each processor gets an equal amount of work. Experiments on a 12 processor SGI Origin 2000 shared memory system show good speedup and excellent scaleup results.作者: 異端邪說下 時間: 2025-3-28 16:42
Parallel and Distributed Data Mining: An Introductiontion. This chapter presents a survey on large-scale parallel and distributed data mining algorithms and systems, serving as an introduction to the rest of this volume. It also discusses the issues and challenges that must be overcome for designing and implementing successful tools for large-scale data mining.作者: sterilization 時間: 2025-3-28 21:13
Parallel Predictor Generationy in which predictors based on samples are built independently and hence concurrently. We discuss the performance implications for two subclasses: those in which predictors are independent, and those in which knowing a set of predictors reduces the difficulty of finding a new one.作者: 鼓掌 時間: 2025-3-29 02:42
Collective, Hierarchical Clustering from Distributed, Heterogeneous Dataering and results comparing its performance with that of a centralized clustering algorithm are presented. An analysis of the algorithm complexity, in terms of overall computation time and communication requirements, is presented.作者: Vaginismus 時間: 2025-3-29 03:32
https://doi.org/10.1007/3-540-46502-2classification; data mining; distributed information systems; information extraction; information retrie作者: 在駕駛 時間: 2025-3-29 08:12
Mohammed J. Zaki,Ching-Tien HoIncludes supplementary material: 作者: Mere僅僅 時間: 2025-3-29 13:57
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/l/image/581404.jpg作者: 思想上升 時間: 2025-3-29 18:03
978-3-540-67194-7Springer-Verlag Berlin Heidelberg 2000作者: Eviction 時間: 2025-3-29 21:04 作者: 熒光 時間: 2025-3-30 01:36 作者: 換話題 時間: 2025-3-30 07:19 作者: 傻 時間: 2025-3-30 11:50 作者: 有幫助 時間: 2025-3-30 13:05
Buddhism and Emotions: Asian Enlightenment and the Anxieties of European Identitytian missionaries. Beginning with Eugène Burnouf’s .,? Buddhism was first described from the perspective of missionaries who needed to understand an entrenched religion before they could overcome it through conversion. With the work of Max Müeller, it was then described as a historical fact that spo作者: GRIEF 時間: 2025-3-30 19:56 作者: 有組織 時間: 2025-3-31 00:31
Franz Kehl,Sebastian Schulz-StübnerKompakt, digital und für die Schnelle: Wissensvertiefung für die Intensivmedizin.über 170 Multiple-Choice-Fragen, kommentierte Antworten und die wichtigsten Studien.Plus App SN Flashcards zum digitale
