標(biāo)題: Titlebook: WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles; 4th International Wo Osmar R. Za?ane,Jaideep Srivastava,Brij Mas [打印本頁] 作者: 萬能 時間: 2025-3-21 17:08
書目名稱WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles影響因子(影響力)
書目名稱WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles影響因子(影響力)學(xué)科排名
書目名稱WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles網(wǎng)絡(luò)公開度
書目名稱WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles被引頻次
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書目名稱WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles年度引用
書目名稱WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles年度引用學(xué)科排名
書目名稱WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles讀者反饋
書目名稱WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles讀者反饋學(xué)科排名
作者: 水汽 時間: 2025-3-22 00:15 作者: 推延 時間: 2025-3-22 02:06
Bettina Berendt,Bamshad Mobasher,Miki Nakagawa,Myra Spiliopoulou作者: 追逐 時間: 2025-3-22 07:37
Bettina Berendt,Bamshad Mobasher,Miki Nakagawa,Myra Spiliopoulou作者: calumniate 時間: 2025-3-22 10:51
WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles4th International Wo作者: Buttress 時間: 2025-3-22 14:43
Landesregierung und die Gemeinsame Gesch?ftsordnung für die Ministerien und die Staatskanzlei, wie in Bayern die auf Erm?chtigung der Verfassung gestützte Verordnung der Staatsregierung über deren Gesch?ftsverteilung, wie in in Baden-Württemberg die auf Beschlu? der Landesregierung beruhende Bekann作者: Lumbar-Stenosis 時間: 2025-3-22 20:17 作者: octogenarian 時間: 2025-3-22 23:24 作者: penance 時間: 2025-3-23 03:22 作者: legitimate 時間: 2025-3-23 09:28 作者: 無辜 時間: 2025-3-23 10:52 作者: Banquet 時間: 2025-3-23 15:41
Shigeru Oyanagi,Kazuto Kubota,Akihiko Nakaseo several physical models of interest in Celestial Mechanics (Section 7.3). However, the original versions of the theory gave concrete results very far from the physical measurements of the parameters involved in the proof. The implementation of computer-assisted KAM proofs allowed us to obtain real作者: 不怕任性 時間: 2025-3-23 22:00
Andreas Geyer-Schulz,Michael Hahsler biosynthesized on a large scale in microorganisms encoded by DNA recombinant methods, and insulin analogues made through recombinant DNA technology represent the first successful attempts to tailor protein hormones for therapy (Brange ., 1988; Markussen ., 1988).作者: Intruder 時間: 2025-3-23 23:26
Andreas Geyer-Schulz,Michael Hahslerl dominance condition or the positivity of principal minors of a matrix etc. Certain results which are valid for linear autonomous ordinary and delay-differential equations cannot be generalized (or extended) to neutral equations. It has been shown by Gromova and Zverkin [1986] that a linear neutral作者: 鋪子 時間: 2025-3-24 03:33
nserving lumped-parameter physical systems with independent storage elements, and strictly contain the class of EL models. We identify a class of PCH models for which PBC ensures the Hamiltonian structure is preserved, with storage function the energy balance. One final advantage of the method is th作者: NOMAD 時間: 2025-3-24 09:08 作者: 后退 時間: 2025-3-24 12:42 作者: Merited 時間: 2025-3-24 18:14
On the Use of Constrained Associations for Web Log Mining,hat pages accessed recently have a greater influence on pages that will be accessed in the near future. The approach not only results in better predictions, it also prunes the rule-space significantly, thus enabling faster online prediction. Further refinements based on sequential dominance are also作者: 推延 時間: 2025-3-24 22:09
On the Use of Constrained Associations for Web Log Mining,hat pages accessed recently have a greater influence on pages that will be accessed in the near future. The approach not only results in better predictions, it also prunes the rule-space significantly, thus enabling faster online prediction. Further refinements based on sequential dominance are also作者: abolish 時間: 2025-3-25 01:04 作者: nocturnal 時間: 2025-3-25 04:55 作者: 音樂學(xué)者 時間: 2025-3-25 08:55
The Impact of Site Structure and User Environment on Session Reconstruction in Web Usage Analysis, a frame-based and a frame-free version of a site. We investigate the behavior of cookies, server-generated session identification, and heuristics that exploit session duration, page stay time and page linkage. Different measures of session reconstruction quality, as well as experiments on the impac作者: LOPE 時間: 2025-3-25 14:13
The Impact of Site Structure and User Environment on Session Reconstruction in Web Usage Analysis, a frame-based and a frame-free version of a site. We investigate the behavior of cookies, server-generated session identification, and heuristics that exploit session duration, page stay time and page linkage. Different measures of session reconstruction quality, as well as experiments on the impac作者: 先兆 時間: 2025-3-25 16:56
Conference proceedings 2003pective customers, allowing microsegmentation and personalized interactions. While Web mining as a domain is several years old, the challenges that characterize data analysis in this area continue to be formidable. Though p- processing data routinely takes up a major part of the e?ort in data mining作者: 宿醉 時間: 2025-3-25 23:15
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/w/image/1020056.jpg作者: Longitude 時間: 2025-3-26 00:27
https://doi.org/10.1007/b11784Alignment; Session; WWW; algorithms; association rule mining; clustering; data mining; knowledge discovery; 作者: excrete 時間: 2025-3-26 05:49 作者: 證實 時間: 2025-3-26 12:29 作者: Indicative 時間: 2025-3-26 15:55
0302-9743 s. Web usage mining in particular, a relatively young discipline, investigates methodologies and techniques that - dress the unique challenges of discovering insights from Web usage data, aiming toevaluateWebusability,understandtheinterestsandexpectationsofusersand assess the e?ectiveness of content作者: Radiculopathy 時間: 2025-3-26 19:41
Web Usage Mining by Means of Multidimensional Sequence Alignment Methods, databases and uses heuristics to compute a multidimensional cost based on one-dimensional optimal trajectories. Empirical results show that MDSAM identifies profiles showing visited pages, visiting time spent on pages and the order in which pages are visited on a web site.作者: 過時 時間: 2025-3-26 23:03 作者: demote 時間: 2025-3-27 02:51
LumberJack: Intelligent Discovery and Analysis of Web User Traffic Composition,99% [Heer02b]. In this paper, we describe the further development of this work into a prototype service called LumberJack, a push-button analysis system that is both more automated and accurate than past systems.作者: glowing 時間: 2025-3-27 08:23
Mining eBay: Bidding Strategies and Shill Detection, that might lead to the identified behaviors. We then apply a clustering algorithm to look at each bidder’s behavior across several engagements, and find a few natural clusters. Finally, we apply association rule analysis to the data and find cases of likely shill behavior, but find no cross-correlation with any particular bidding behavior.作者: 土坯 時間: 2025-3-27 12:29 作者: 矛盾心理 時間: 2025-3-27 16:31 作者: 食道 時間: 2025-3-27 21:37 作者: COW 時間: 2025-3-28 00:06 作者: languor 時間: 2025-3-28 04:05
Coping with Sparsity in a Recommender System,nts", artificial users that rate in accordance with some predefined preferences. We show that both ideas pay off, albeit in different ways: Transitive correlations provide a small help for virtually no price, whereas rating agents improve the coverage of the system significantly but also have a negative impact on the system performance.作者: Merited 時間: 2025-3-28 07:21 作者: Overthrow 時間: 2025-3-28 10:30 作者: 嚴(yán)重傷害 時間: 2025-3-28 17:30
Mining WWW Access Sequence by Matrix Clustering,ster of similar sequences. The resulting sequence elements are composed into a generalized sequence..Our method is evaluated with practical WWW access log, which shows that it is practically useful in finding long sequences and in presenting the generalized sequence in a graph.作者: 鉆孔 時間: 2025-3-28 21:12 作者: 輕彈 時間: 2025-3-29 02:01 作者: PHONE 時間: 2025-3-29 06:35
LumberJack: Intelligent Discovery and Analysis of Web User Traffic Composition, as association rules have been used in business applications. We have developed an automated method to directly infer the major groupings of user traffic on a Web site [Heer01]. We do this by utilizing multiple data features of user sessions in a clustering analysis. We have performed an extensive,作者: jealousy 時間: 2025-3-29 11:00 作者: BARGE 時間: 2025-3-29 15:16 作者: 楓樹 時間: 2025-3-29 18:04 作者: Muscularis 時間: 2025-3-29 20:07 作者: 間諜活動 時間: 2025-3-30 02:27
A Customizable Behavior Model for Temporal Prediction of Web User Sequences,ronment for users. A key prerequisite for such services is the modeling of user behavior and a natural starting place for this are Web logs. In this paper we propose a model for predicting sequences of user accesses which is distinguished by two elements: it is customizable and it reflects sequentia作者: MOT 時間: 2025-3-30 08:06 作者: ENNUI 時間: 2025-3-30 09:54
A Customizable Behavior Model for Temporal Prediction of Web User Sequences,ronment for users. A key prerequisite for such services is the modeling of user behavior and a natural starting place for this are Web logs. In this paper we propose a model for predicting sequences of user accesses which is distinguished by two elements: it is customizable and it reflects sequentia作者: 敵意 時間: 2025-3-30 12:26
Coping with Sparsity in a Recommender System, We repeat well-known methods such as the Pearson method, but also address common problems of recommender systems, in particular the sparsity problem. The sparsity problem is the problem of having too few ratings and hence too few correlations between users. We address this problem in two different 作者: Priapism 時間: 2025-3-30 17:26
Coping with Sparsity in a Recommender System, We repeat well-known methods such as the Pearson method, but also address common problems of recommender systems, in particular the sparsity problem. The sparsity problem is the problem of having too few ratings and hence too few correlations between users. We address this problem in two different 作者: 完全 時間: 2025-3-30 22:58
On the Use of Constrained Associations for Web Log Mining,e behavior of users on the web for business intelligence and browser performance enhancements. Web usage mining strategies range from strategies such as clustering and collaborative filtering, to accurately modeling sequential pattern navigation. However, many of these approaches suffer problems in 作者: Fretful 時間: 2025-3-31 01:08
On the Use of Constrained Associations for Web Log Mining,e behavior of users on the web for business intelligence and browser performance enhancements. Web usage mining strategies range from strategies such as clustering and collaborative filtering, to accurately modeling sequential pattern navigation. However, many of these approaches suffer problems in 作者: 進入 時間: 2025-3-31 06:02 作者: macular-edema 時間: 2025-3-31 10:07
Mining WWW Access Sequence by Matrix Clustering, sequence pattern mining. However, it suffers from inherent difficulties in finding long sequential patterns and in extracting interesting patterns among a huge amount of results..This article proposes a new method for finding generalized sequence pattern by matrix clustering. This method decomposes作者: 高原 時間: 2025-3-31 16:47 作者: MOTTO 時間: 2025-3-31 20:27 作者: Carcinogen 時間: 2025-3-31 22:13
The Impact of Site Structure and User Environment on Session Reconstruction in Web Usage Analysis,sion identifiers have been designed to allow an accurate session reconstruction. However, in the absence of reliable methods, analysts must employ heuristics (a) to identify unique visitors to a site, and (b) to distinguish among the activities of such users during independent sessions. The characte
