標(biāo)題: Titlebook: Advances in Knowledge Discovery and Data Mining, Part I; 14th Pacific-Asia Co Mohammed J. Zaki,Jeffrey Xu Yu,Vikram Pudi Conference proceed [打印本頁(yè)] 作者: 喝水 時(shí)間: 2025-3-21 19:54
書(shū)目名稱Advances in Knowledge Discovery and Data Mining, Part I影響因子(影響力)
書(shū)目名稱Advances in Knowledge Discovery and Data Mining, Part I影響因子(影響力)學(xué)科排名
書(shū)目名稱Advances in Knowledge Discovery and Data Mining, Part I網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Advances in Knowledge Discovery and Data Mining, Part I網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Advances in Knowledge Discovery and Data Mining, Part I被引頻次
書(shū)目名稱Advances in Knowledge Discovery and Data Mining, Part I被引頻次學(xué)科排名
書(shū)目名稱Advances in Knowledge Discovery and Data Mining, Part I年度引用
書(shū)目名稱Advances in Knowledge Discovery and Data Mining, Part I年度引用學(xué)科排名
書(shū)目名稱Advances in Knowledge Discovery and Data Mining, Part I讀者反饋
書(shū)目名稱Advances in Knowledge Discovery and Data Mining, Part I讀者反饋學(xué)科排名
作者: 性學(xué)院 時(shí)間: 2025-3-22 00:02
Discovery of Patterns in Global Earth Science Data Using Data Miningd questions.Uniquely ties together theological reflections o.This book argues that the dominant descriptions of the ‘caste system’ are rooted in the Western Christian experience of India. Thus, caste studies tell us more about the West than about India. It further demonstrates the imperative to move作者: 公式 時(shí)間: 2025-3-22 02:17 作者: 積云 時(shí)間: 2025-3-22 08:18
As Time Goes by: Discovering Eras in Evolving Social Networksof ideas which form the basis for its political, economic and social system, and which often take the form of unstated and untested assumptions underlying thought and expression. ‘Individualism ’ is a main constituent of American ideology: it postulates that the individual is the foundation of socie作者: 古老 時(shí)間: 2025-3-22 09:32
Online Sampling of High Centrality Individuals in Social Networkshrliche Pflanzenportraits von 88 heimischen Heilpflanzen.Aus.Das Buch beschreibt umfassend und praxisnah, wie die Integration von westlichen Kr?utern in den Alltag einer Praxis für?Alternativmedizin gelingt. Dabei werden die chinesischen Syndrommuster anhand der fünf Wandlungsphasen übersichtlich un作者: FLAIL 時(shí)間: 2025-3-22 13:09
Estimate on Expectation for Influence Maximization in Social Networksarüber gestritten, ob die Irakpolitik, der Sturz der Diktatur und der Aufbau einer parlamentarischen Ordnung, letztlich nicht doch als Erfolg gelten kann. Ex-Vizepr?sident Cheney erkl?rte, die US-Regierung habe im Irak alles erreicht, was sie sich zum Ziel gesetzt habe.847 In seinen im November 2010作者: myelography 時(shí)間: 2025-3-22 19:00 作者: 水汽 時(shí)間: 2025-3-23 00:42 作者: 口訣法 時(shí)間: 2025-3-23 02:42
General Aspects of Endocrinology,platforms, provide terabytes of temporal, spatial and spatio-temporal data. These massive and information-rich datasets offer huge potential for understanding and predicting the behavior of the Earth’s ecosystem and for advancing the science of climate change.作者: 濕潤(rùn) 時(shí)間: 2025-3-23 06:56
General Aspects of Endocrinology,-means and most other clustering heuristics that can only work with real-valued data and distance measures taken from specific families, GlobalRSC has the advantage that it can work with any distance measure, and any data representation. We also discuss various techniques for boosting the scalability of GlobalRSC.作者: 劇本 時(shí)間: 2025-3-23 11:37
https://doi.org/10.1007/978-1-4939-2428-8 expander graphs. We empirically evaluate this method in addition to other online sampling strategies on several real-world social networks. We find that, by sampling nodes to maximize the expansion of the sample, we are able to approximate the set of most influential individuals across . measures of centrality.作者: Psa617 時(shí)間: 2025-3-23 15:46
https://doi.org/10.1007/978-3-642-96158-8tly obtained some interesting results: (a) Discovering influential nodes in social networks using the Shapley value, and (b) Identifying topologies of strategically formed social networks using a game theoretic approach.作者: tangle 時(shí)間: 2025-3-23 21:18 作者: 放縱 時(shí)間: 2025-3-24 02:12 作者: glacial 時(shí)間: 2025-3-24 03:50
Clinical Epidemiology and Biostatisticse tested our technique on major UCI machine learning databases and compared the results to state of the art techniques. Our method resulted in significant improvements in the performance of the K-NN classifier and also performed better than other techniques on major databases.作者: 災(zāi)禍 時(shí)間: 2025-3-24 10:00 作者: 不足的東西 時(shí)間: 2025-3-24 11:17 作者: atopic-rhinitis 時(shí)間: 2025-3-24 17:46 作者: 保守黨 時(shí)間: 2025-3-24 20:50 作者: peritonitis 時(shí)間: 2025-3-25 03:12 作者: FEMUR 時(shí)間: 2025-3-25 06:46 作者: 門窗的側(cè)柱 時(shí)間: 2025-3-25 11:15 作者: CLAN 時(shí)間: 2025-3-25 15:28
https://doi.org/10.1007/978-1-4939-2428-8marginal gains via expectation rather than running Monte-Carlo simulation. Experimental results demonstrate that our algorithm can effectively reduce the running time while maintaining the influence spread.作者: floodgate 時(shí)間: 2025-3-25 16:56
Epidemiologic Research Design: an Overviewscretization, which uses an accurate estimation of the support threshold. Experimental results show that our classifier attains higher accuracy than other understandable classifiers, while being competitive with Nearest Neighbors and Support Vector Machines classifiers.作者: outset 時(shí)間: 2025-3-25 21:13 作者: 四指套 時(shí)間: 2025-3-26 03:58
Empower People with Knowledge: The Next Frontier for Web Search978-1-137-58399-4作者: Inflammation 時(shí)間: 2025-3-26 05:03 作者: laxative 時(shí)間: 2025-3-26 09:44
A Set Correlation Model for Partitional Clustering978-1-349-18345-6作者: Small-Intestine 時(shí)間: 2025-3-26 15:24 作者: TRAWL 時(shí)間: 2025-3-26 19:00 作者: convulsion 時(shí)間: 2025-3-27 00:48 作者: 跳脫衣舞的人 時(shí)間: 2025-3-27 01:55
Mining Antagonistic Communities from Social Networks978-0-230-37773-8作者: 宣傳 時(shí)間: 2025-3-27 07:28
A Novel Scalable Multi-class ROC for Effective Visualization and Computation978-3-658-24894-9作者: Cytokines 時(shí)間: 2025-3-27 12:52 作者: jettison 時(shí)間: 2025-3-27 15:27 作者: Harpoon 時(shí)間: 2025-3-27 20:12
Advances in Knowledge Discovery and Data Mining, Part I14th Pacific-Asia Co作者: 輕快來(lái)事 時(shí)間: 2025-3-28 00:32
Front Matteran as a “mosaic” [one of Kissinger’s favourite terms] in which each of the parts is integral to the whole conception’.. But the best improvisations emanate from a concept underneath the apparent spontaneity, and this was in fact the case with Kissinger’s most important policies.作者: SPALL 時(shí)間: 2025-3-28 05:13
Discovery of Patterns in Global Earth Science Data Using Data Miningp impacts on our understanding of contemporary India and the Indians of the diaspora...?.This collection will be of interest to scholars and students of caste studies, India studies, religion in South Asia, postcolonial studies, history, anthropology and sociology..978-3-319-81743-9978-3-319-38761-1作者: cushion 時(shí)間: 2025-3-28 08:32
A Robust Seedless Algorithm for Correlation Clusteringervatism against technology was not to blame for China’s slow development in steamship building. Rather, it was government officials’ failure to realize the scale of institutional and techno-scientific changes required in importing and disperse new knowledge and skills.? ?978-1-349-92803-3978-1-137-59813-4作者: 松果 時(shí)間: 2025-3-28 11:53 作者: 喊叫 時(shí)間: 2025-3-28 16:40 作者: archaeology 時(shí)間: 2025-3-28 20:20
Estimate on Expectation for Influence Maximization in Social Networksgestürzt und mit dem neuen irakischen Staat die despotische Tradition der Region gebrochen. ?hnliches ist in der aktuellen Diskussion über die Revolutionen in den arabischen L?ndern zu vernehmen. So erkl?rte Elliott Abrams, ein ehemaliger Berater im Wei?en Haus, dass die Aufst?nde in Tunesien und ?g作者: 我怕被刺穿 時(shí)間: 2025-3-29 02:25 作者: HAWK 時(shí)間: 2025-3-29 04:32 作者: ANTE 時(shí)間: 2025-3-29 07:38
https://doi.org/10.1007/978-1-4939-2428-8graphic dataset; we illustrate how the discovered temporal clustering highlights the crucial moments when the network had profound changes in its structure. Our approach is finally boosted by introducing a meaningful labeling of the obtained clusters, such as the characterizing topics of each discov作者: Freeze 時(shí)間: 2025-3-29 13:25 作者: GROWL 時(shí)間: 2025-3-29 19:30
Antenatal Screening/Prenatal Diagnosis,loper ecosystem and enabling the development of millions of micro-vertical services and applications to serve users’ various information need. In this new world, there is an opportunity to build a more powerful and intelligent search engine that understands what users are trying to accomplish and he作者: 悲觀 時(shí)間: 2025-3-29 20:13 作者: 關(guān)心 時(shí)間: 2025-3-30 00:35 作者: 刺耳 時(shí)間: 2025-3-30 04:05 作者: Certainty 時(shí)間: 2025-3-30 08:14
General Aspects of Endocrinology,n .×. image . where the objects are reordered to reveal hidden cluster structure as dark blocks along the diagonal of the image. A major limitation of such methods is the inability to highlight cluster structure in . when . contains highly complex clusters. To address this problem, this paper propos作者: DOLT 時(shí)間: 2025-3-30 14:13 作者: 出價(jià) 時(shí)間: 2025-3-30 18:57
Calciotropic hormones and bone metabolism,tering of data with mixed type attributes. Most existing solutions suffer from one or both of the following drawbacks: Either they require input parameters which are difficult to estimate, or/and they do not adequately support mixed type attributes. Our technique INTEGRATE is a novel clustering appr作者: fodlder 時(shí)間: 2025-3-30 22:13 作者: infarct 時(shí)間: 2025-3-31 03:15 作者: 有組織 時(shí)間: 2025-3-31 06:50 作者: Obstreperous 時(shí)間: 2025-3-31 11:49
https://doi.org/10.1007/978-1-4939-2428-8alyzing the evolution on the global and the local scale, extracting properties of either the entire network or local patterns. In this paper, we focus instead on detecting clusters of temporal snapshots of a network, to be interpreted as . of evolution. To this aim, we introduce a novel hierarchical作者: VEST 時(shí)間: 2025-3-31 14:11 作者: TRACE 時(shí)間: 2025-3-31 20:46
https://doi.org/10.1007/978-1-4939-2428-8rategy, which, although provides a good approximation, suffers from high computation cost on estimating the influence function even if adopting an efficient optimization. In this paper, we propose a simple yet effective evaluation, the ., to estimate the influence function. We formulate the expectat作者: 織物 時(shí)間: 2025-4-1 00:48 作者: 無(wú)法解釋 時(shí)間: 2025-4-1 02:32 作者: 不能仁慈 時(shí)間: 2025-4-1 07:50
Epidemiologic Research Design: an Overview of rough margins. However, the standard solvers for them are time consuming and not feasible for large datasets. On the other hand, the core vector machine (CVM) is an optimization technique based on the minimum enclosing ball that can scale up an SVM to handle very large datasets. While the 2-norm作者: NOT 時(shí)間: 2025-4-1 11:39 作者: stratum-corneum 時(shí)間: 2025-4-1 16:29
Epidemiologic Research Design: an Overviewerstand the classification in terms of the application domain, mostly if the prediction disagrees with the expected results. Many accurate classifiers are unable to explain their classification results in terms understandable by an application expert. Emerging Pattern classifiers, on the other hand,作者: xanthelasma 時(shí)間: 2025-4-1 18:53 作者: 膽小懦夫 時(shí)間: 2025-4-2 00:21
Mohammed J. Zaki,Jeffrey Xu Yu,Vikram Pudiup-to-date results.fast track conference proceedings.state-of-the-art report
