標(biāo)題: Titlebook: Advances in Knowledge Discovery and Data Mining; 18th Pacific-Asia Co Vincent S. Tseng,Tu Bao Ho,Hung-Yu Kao Conference proceedings 2014 Sp [打印本頁] 作者: 相似 時(shí)間: 2025-3-21 16:17
書目名稱Advances in Knowledge Discovery and Data Mining影響因子(影響力)
書目名稱Advances in Knowledge Discovery and Data Mining影響因子(影響力)學(xué)科排名
書目名稱Advances in Knowledge Discovery and Data Mining網(wǎng)絡(luò)公開度
書目名稱Advances in Knowledge Discovery and Data Mining網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Advances in Knowledge Discovery and Data Mining被引頻次
書目名稱Advances in Knowledge Discovery and Data Mining被引頻次學(xué)科排名
書目名稱Advances in Knowledge Discovery and Data Mining年度引用
書目名稱Advances in Knowledge Discovery and Data Mining年度引用學(xué)科排名
書目名稱Advances in Knowledge Discovery and Data Mining讀者反饋
書目名稱Advances in Knowledge Discovery and Data Mining讀者反饋學(xué)科排名
作者: Thyroid-Gland 時(shí)間: 2025-3-21 21:44 作者: 斜 時(shí)間: 2025-3-22 01:57
Persistent Community Detection in Dynamic Social Networkst, wie sie bei uns vielfach schon vorhanden sind, für s?mtliche wirtschaftsberatenden Berufe notwendig sind, oder ob sie sich gegebenenfalls als Hemmschuh für diese Gruppen erweisen. Mu?, beziehungsweise soll grunds?tzlich allen freien Berufen im Rahmen unseres Wettbewerbsrechts eine Sonderstellung 作者: duplicate 時(shí)間: 2025-3-22 04:51 作者: Reservation 時(shí)間: 2025-3-22 11:00 作者: agglomerate 時(shí)間: 2025-3-22 15:47 作者: extinguish 時(shí)間: 2025-3-22 19:04 作者: charisma 時(shí)間: 2025-3-22 22:02
Learning from Crowds under Experts’ Supervision sondere in der Art ausüben, da? es noch Aspekte oder Ans?tze geben mag, unter denen sie bisher noch nicht behandelt wurden und die neuere, bessere oder tiefere oder auch nur andere Einsichten erlauben. Ein solches Thema ist das zwischen dem Ersten und dem Zweiten im Ablauf, zwischen Pionier und Nac作者: chondromalacia 時(shí)間: 2025-3-23 02:43
Franz Gerstenbrand,Werner Poewe,Gerald Sternascades caused by a noteworthy event. The results of extensive empirical experiments on real-life big social networks data show that our algorithm performs much better than a set of baseline methods, including two alternative models and the state-of-the-art.作者: 征服 時(shí)間: 2025-3-23 07:03
https://doi.org/10.1007/b138742ce of crowdsourcing learning tasks with some additional expert labels by treating each labeler as a personal classifier and combining all labelers’ opinions from a model combination perspective. Experiments show that our method can significantly improve the learning quality as compared with those methods solely using crowd labels.作者: 得意牛 時(shí)間: 2025-3-23 11:29 作者: hemoglobin 時(shí)間: 2025-3-23 15:16
0302-9743 Data Mining, PAKDD 2014, held in Tainan, Taiwan, in May 2014. The 40 full papers and the 60 short papers presented within these proceedings were carefully reviewed and selected from 371 submissions. They cover the general fields of pattern mining; social network and social media; classification; gr作者: 概觀 時(shí)間: 2025-3-23 21:34
Lips, Teeth, Chin, and Smile Analysis,g model, thus allowing for more natural interpretations of the prediction intervals. In the experimentation, we provide an empirical comparison of our conformal regressors to traditional conformal regressors and show that the proposed modification results in more robust two-tailed predictions, and more efficient one-tailed predictions.作者: 小平面 時(shí)間: 2025-3-24 01:47
0302-9743 ; novel algorithms; clustering; biomedical data mining; stream mining; outlier and anomaly detection; multi-sources mining; and unstructured data and text mining.978-3-319-06607-3978-3-319-06608-0Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 連詞 時(shí)間: 2025-3-24 05:08
Dermatological Signs of Medical Emergenciescenter (G-SOC) , during the entire year of 2012. We showcase the effectiveness of . by discovering interesting patterns and anomalies on this enormous dataset. We observed static and time-evolving patterns, that a vast majority of the known malicious behavior seem to follow.作者: 大炮 時(shí)間: 2025-3-24 10:12
Clinical Examination in Orthopedicseck that is easy to incorporate in a depth-first search algorithm for mining the minimal patterns. We demonstrate that it is polynomial-delay and polynomial-space. Experiments on traditional benchmarks complete our study.作者: 吹氣 時(shí)間: 2025-3-24 12:20 作者: 芳香一點(diǎn) 時(shí)間: 2025-3-24 15:59 作者: 打火石 時(shí)間: 2025-3-24 22:37
,The “Facial Points of Interest”,duce the bias towards majority class. The patterns are detected from HeDEx and the new instances generated are applied after verification process using Hellinger Distance Decision Trees. Our experiments show that the proposed methods show performance improvements on imbalanced datasets over the state-of-the-art Hellinger Distance Decision Trees.作者: debacle 時(shí)間: 2025-3-25 02:41 作者: 熱情贊揚(yáng) 時(shí)間: 2025-3-25 04:08 作者: Communal 時(shí)間: 2025-3-25 09:16
W. Poewe,F. Gerstenbrand,G. Ransmayrand Handbill strategy can obtain good solution efficiently. Combination strategy is the best algorithm or matches the best algorithm in terms of both accuracy and efficiency, and it is more balanced than the state-of-the-art algorithms.作者: 擺動(dòng) 時(shí)間: 2025-3-25 12:32 作者: falsehood 時(shí)間: 2025-3-25 17:36 作者: 顯而易見 時(shí)間: 2025-3-25 21:13 作者: Explosive 時(shí)間: 2025-3-26 02:21
Fast Vertical Mining of Sequential Patterns Using Co-occurrence Information978-3-663-09132-5作者: Crayon 時(shí)間: 2025-3-26 07:35 作者: BLUSH 時(shí)間: 2025-3-26 10:13
Analyzing Location Predictability on Location-Based Social Networks978-3-663-12891-5作者: 審問,審訊 時(shí)間: 2025-3-26 15:18 作者: Genetics 時(shí)間: 2025-3-26 17:33 作者: 輕浮女 時(shí)間: 2025-3-26 23:16
Hash-Based Stream LDA: Topic Modeling in Social Streams978-3-658-07440-1作者: POINT 時(shí)間: 2025-3-27 02:22
Two Sides of a Coin: Separating Personal Communication and Public Dissemination Accounts in Twitter978-3-8349-4220-3作者: 調(diào)整校對(duì) 時(shí)間: 2025-3-27 05:30 作者: acrophobia 時(shí)間: 2025-3-27 13:29 作者: 怎樣才咆哮 時(shí)間: 2025-3-27 15:26 作者: Dignant 時(shí)間: 2025-3-27 21:33
Detecting and Analyzing Influenza Epidemics with Social Media in Chinaerungen. Die Aussage ?Recht ist Kultur und ereignet sich als Geschichte“. bewahrheitet sich. Werbespots sch?pfen aus einem Fundus kultureller Tradition und sind Ausdruck kollektiven Lebensgefiihls. Bis Mitte des Jahrhunderts war Werbung vor allem Plakatkunst in den Metropolen. Anzeigen, die nicht me作者: peak-flow 時(shí)間: 2025-3-27 23:03 作者: 角斗士 時(shí)間: 2025-3-28 04:52 作者: 救護(hù)車 時(shí)間: 2025-3-28 07:06 作者: EVEN 時(shí)間: 2025-3-28 11:37 作者: corpus-callosum 時(shí)間: 2025-3-28 15:25 作者: MAIZE 時(shí)間: 2025-3-28 21:25 作者: 向下五度才偏 時(shí)間: 2025-3-28 23:16
Franz Gerstenbrand,Werner Poewe,Gerald Sternining those techniques, we can improve the precision and recall by at least ten percent. Finally, we analyze the spatial and temporal patterns for positive influenza posts and tell when and where influenza epidemic is more likely to occur.作者: eustachian-tube 時(shí)間: 2025-3-29 04:58 作者: 貪婪的人 時(shí)間: 2025-3-29 10:11
,The “Facial Points of Interest”, datasets such as Epinions, Slashdot, and Wikipedia. In many cases it shows almost perfect prediction accuracy. Moreover, our model can also be efficiently updated as the underlying social network evolves.作者: 名詞 時(shí)間: 2025-3-29 14:20 作者: 過去分詞 時(shí)間: 2025-3-29 15:36
Views of Clinical Facial Photography,tems can indicate new users’ tastes according to their responses to the interview questions. In our experiments, we evaluate our methods using a public dataset for recommendations. The results show that our method leads to better performance than other baselines.作者: CRUE 時(shí)間: 2025-3-29 20:06 作者: insincerity 時(shí)間: 2025-3-30 02:36
https://doi.org/10.1007/978-2-8178-0411-8 of . is employed to extract the frequent patterns. Normally, in a given domain, a set of items can be grouped into a category and a pattern may contain the items which belong to multiple categories. In several applications, it may be useful to distinguish between the pattern having items belonging 作者: embolus 時(shí)間: 2025-3-30 04:28
Clinical Examination in Orthopedicsh attention with very general proposals. In contrast, the minimal patterns remained in the shadows in particular because of their difficult extraction. In this paper, we present a generic framework for minimal patterns mining by introducing the concept of minimizable set system. This framework addre作者: DEMN 時(shí)間: 2025-3-30 10:27
Examination of the Cervical Spine, and have excellent overall performance. The vertical representation allows generating patterns and calculating their supports without performing costly database scans. However, a crucial performance bottleneck of vertical algorithms is that they use a generate-candidate-and-test approach that can g作者: Acquired 時(shí)間: 2025-3-30 12:24 作者: 熄滅 時(shí)間: 2025-3-30 18:31
W. Poewe,F. Gerstenbrand,G. Ransmayret so that the number of final influenced nodes can be maximized. In this paper, we propose three strategies to solve this problem. First, Billboard strategy chooses the most influential nodes as the seeds. Second, Handbill strategy chooses the most cost-effective nodes as the seeds. Finally, Combin作者: 昏睡中 時(shí)間: 2025-3-30 21:11
Franz Gerstenbrand,Werner Poewe,Gerald Sternvolving social network data. We propose an algorithm, Persistent Community Detection (PCD), to identify those communities that exhibit persistent behavior over time, for usage in such settings. Our motivation is to distinguish between steady-state network activity, and impermanent behavior such as c作者: 無情 時(shí)間: 2025-3-31 04:43 作者: 漂浮 時(shí)間: 2025-3-31 06:05
W. Poewe,F. Gerstenbrand,G. Ransmayrdata, predicting a user’s next check-in place is of much interest recently. There is, however, little study on the limit of predictability of this task and its correlation with users’ demographics. These studies can give deeper insight to the prediction task and bring valuable insights to the design作者: AVANT 時(shí)間: 2025-3-31 09:10 作者: 財(cái)主 時(shí)間: 2025-3-31 17:21 作者: Abnormal 時(shí)間: 2025-3-31 21:03
,The “Facial Points of Interest”,ch members may have certain attitude, positive or negative, toward each other, and so the network consists of a mixture of both positive and negative relationships. Our goal is to predict the sign of a given relationship based on the evidences provided in the current snapshot of the network. More pr作者: 團(tuán)結(jié) 時(shí)間: 2025-4-1 00:38 作者: 很是迷惑 時(shí)間: 2025-4-1 03:10