標題: Titlebook: Advances in Knowledge Discovery and Data Mining; 17th Pacific-Asia Co Jian Pei,Vincent S. Tseng,Guandong Xu Conference proceedings 2013 Spr [打印本頁] 作者: legerdemain 時間: 2025-3-21 20:01
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: 難管 時間: 2025-3-21 22:32 作者: 無思維能力 時間: 2025-3-22 00:25
Cutaneous Complications of Malignancyipant of a certain rank from another, we assign weights to nodes in the DAG. As such, a meeting can be modeled as a weighted DAG, from which weighted frequent interaction patterns can be discovered. Experimental results showed the effectiveness of our proposed DAG-based method for mining interaction作者: 整頓 時間: 2025-3-22 06:15 作者: anesthesia 時間: 2025-3-22 10:41
Ira Shetty M.D.,William A. Scott M.D.larizer. The second method belongs to the category of threshold methods, where we set a window and select the SV set from correctly classified PVs closer and farther from the decision boundaries in the case of classification. For regression, we obtain the SV set by selecting the PVs with least minim作者: contradict 時間: 2025-3-22 13:56
Steven Dymarkowski MD, PhD,Hilde Bosmans PhDl studies on a large number of random and scale-free graphs, using four structurally distinguishable indexes, demonstrate that our spectral decomposition method is robust and almost always exhibits an accuracy of 70% or above.作者: 單獨 時間: 2025-3-22 20:43
Hubert F. Baars,Jeroen F. van der Heijdenbe finally used to construct a rule-based classifier. DICH essentially speeds up the discriminative clique-pattern mining process and solves the unlimited clique-pattern expanding problem in graph stream mining. Experimental results on two real-world graph stream data sets demonstrate that DICH can 作者: hardheaded 時間: 2025-3-22 23:02
Discovering Local Subgroups, with an Application to Fraud Detection,978-3-662-10900-7作者: Water-Brash 時間: 2025-3-23 03:47
Mining Frequent Patterns from Human Interactions in Meetings Using Directed Acyclic Graphs,978-3-8351-9088-7作者: Provenance 時間: 2025-3-23 08:18
Mining Appliance Usage Patterns in Smart Home Environment,978-3-642-92584-9作者: apropos 時間: 2025-3-23 11:55 作者: 卷發(fā) 時間: 2025-3-23 15:21
Latent Patient Profile Modelling and Applications with Mixed-Variate Restricted Boltzmann Machine,978-3-7091-4153-3作者: Inexorable 時間: 2025-3-23 19:59 作者: 可耕種 時間: 2025-3-23 22:16
Sparse Reductions for Fixed-Size Least Squares Support Vector Machines on Large Scale Data,978-3-211-27187-2作者: linguistics 時間: 2025-3-24 06:06 作者: Entrancing 時間: 2025-3-24 08:33 作者: Surgeon 時間: 2025-3-24 11:19 作者: 高興去去 時間: 2025-3-24 18:16
PUF-Tree: A Compact Tree Structure for Frequent Pattern Mining of Uncertain Data,rei Aggregatzust?nde der Materie werden in 1.3 besprochen, mit dem Schwerpunkt auf den Kristallstrukturen. Die Gittereigenschaften und die Energieb?nder der Festk?rper, die bei der Vereinigung einzelner Atome zum Festk?rper entstehen, erkl?ren die verschiedenen Arten von Festk?rpern — Metalle, Halbl作者: Insul島 時間: 2025-3-24 21:18
ClaSP: An Efficient Algorithm for Mining Frequent Closed Sequences,gt eine Beschreibung und physikali- sche Deutung der elektrischen und magnetischen Eigenschaften der Werkstoffe, insbesondere im Hinblick auf Anwendungen in passiven Bauelementen und Sensoren. Mechanische Eigenschaften und Materialprüfverfahren werden nur in dem Umfange behandelt, der für die Allgem作者: 容易生皺紋 時間: 2025-3-25 00:14 作者: 敬禮 時間: 2025-3-25 04:22 作者: Verify 時間: 2025-3-25 11:12
Discovery of Regional Co-location Patterns with ,-Nearest Neighbor Graph,schaft hat weder die Aufgabe in enzyklop?discher Vollst?ndigkeit auf die Vielzahl der Werkstoffe i genschafteneinzugehen, noch durch übertri ebene forma- wissenschaftliche Strenge sich im Detail zu verlieren. Es soll hier eine Gesamtschau vermittelt werden. Man k?nnte den Inhalt des Buches in zwei Teile teile978-3-7091-4155-7作者: Gerontology 時間: 2025-3-25 14:07
Front Matterhen Version auf verschiedenen Endger?ten zu verbessern.??.Die Zielgruppen.Das Buch bietet für Studierende der Ingenieurwissenschaften an Universit?ten und Fachhochschulen eine kompakte und systematische Darstellung der Werkstoffkunde und Werkstoffwissenschaft auf neuestem Stand..978-3-662-58846-8978-3-662-58847-5作者: 蓋他為秘密 時間: 2025-3-25 17:11 作者: 遣返回國 時間: 2025-3-25 20:35 作者: 有權(quán) 時間: 2025-3-26 03:37
https://doi.org/10.1007/0-387-29170-9assBayes yields better classification accuracy than the existing generative classifiers in large data sets. As it works with fixed-size subsets of training data, it has constant training time complexity and constant space complexity, and it can easily scale up to very large data sets.作者: 整頓 時間: 2025-3-26 05:52 作者: 偉大 時間: 2025-3-26 10:05 作者: RALES 時間: 2025-3-26 13:55
https://doi.org/10.1007/978-3-642-10858-7xperimental verification in a real world dataset, we demonstrate that our algorithm performs well in the ETP analysis task. It can efficiently reduce the updating time complexity; and it is effective in solving the continuity limitation.作者: fatty-streak 時間: 2025-3-26 17:28 作者: Rct393 時間: 2025-3-26 23:49 作者: 形上升才刺激 時間: 2025-3-27 01:47 作者: savage 時間: 2025-3-27 06:46
Conference proceedings 2013ng, PAKDD 2013, held in Gold Coast, Australia, in April 2013. The total of 98 papers presented in these proceedings was carefully reviewed and selected from 363 submissions. They cover the general fields of data mining and KDD extensively, including pattern mining, classification, graph mining, appl作者: 跑過 時間: 2025-3-27 11:19
Conference proceedings 2013ications, machine learning, feature selection and dimensionality reduction, multiple information sources mining, social networks, clustering, text mining, text classification, imbalanced data, privacy-preserving data mining, recommendation, multimedia data mining, stream data mining, data preprocessing and representation.作者: 白楊 時間: 2025-3-27 17:02
Cardiac Complications of Malignancyerns from the tree. Experimental results show that (i)?our tree is usually more compact than the UF-tree or UFP-tree, (ii)?our tree can be as compact as the FP-tree, and (iii)?our mining algorithm finds frequent patterns efficiently.作者: 膽大 時間: 2025-3-27 18:15
Renal Complications of Malignancyanking fraud detection show that the ConvergMiner greatly outperforms the existing cost-sensitive classification methods in terms of predicative accuracy. In particular, the efficiency improves with the increase of data imbalance.作者: inscribe 時間: 2025-3-28 01:29
Alon Barsheshet MD,Ilan Goldenberg MDs which capture the representative usage behaviors of appliances in a smart home environment and (ii) the corresponding algorithms for discovering usage patterns efficiently. Finally, we apply our algorithms on a real-world dataset to show the practicability of usage pattern mining.作者: Indurate 時間: 2025-3-28 02:17
Atrioventricular Nodal Reentry Tachycardiare additional data access. Both reduce A2DE’s learning bias, improving its effectiveness for big data. Furthermore, we demonstrate that the techniques are complementary. The resulting combined technique delivers computationally efficient low-bias learning well suited to learning from big data.作者: preeclampsia 時間: 2025-3-28 08:07 作者: Pandemic 時間: 2025-3-28 11:14 作者: atopic-rhinitis 時間: 2025-3-28 18:27
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/148609.jpg作者: 直言不諱 時間: 2025-3-28 22:42
https://doi.org/10.1007/978-3-642-37453-1big data; recommender systems; social media mining; text classification; transfer learning作者: 消瘦 時間: 2025-3-28 23:33 作者: 正常 時間: 2025-3-29 05:34
Advances in Knowledge Discovery and Data Mining978-3-642-37453-1Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: hair-bulb 時間: 2025-3-29 08:02 作者: phase-2-enzyme 時間: 2025-3-29 13:30
General Concepts in Cancer Managementses, such an approach works well because the general population is rather homogeneous, and the subgroup encompasses clear outliers. In more complex situations however, the investigated population is a mixture of various subpopulations, and reporting all of these as interesting subgroups is undesirab作者: 蚊子 時間: 2025-3-29 17:48
Cardiac Complications of Malignancyrs, researchers have paid attention to frequent pattern mining from uncertain data. When handling uncertain data, UF-growth and UFP-growth are examples of well-known mining algorithms, which use the UF-tree and the UFP-tree respectively. However, these trees can be large, and thus degrade the mining作者: 簡潔 時間: 2025-3-29 20:30 作者: Consequence 時間: 2025-3-30 03:15
Cutaneous Complications of Malignancyaled by discovering interaction patterns from these meetings. An existing method mines interaction patterns from meetings using tree structures. However, such a tree-based method may not capture all kinds of triggering relations between interactions, and it may not distinguish a participant of a cer作者: 因無茶而冷淡 時間: 2025-3-30 04:22 作者: 我正派 時間: 2025-3-30 11:35
Renal Complications of Malignancyhe class imbalanced problem, which has been proved to be a big challenge in mining large scale data. This paper introduces a novel pattern, i.e. converging pattern, which refers to the itemsets whose supports contrast sharply from the minority class to the majority one. A novel algorithm, ConvergMin作者: inferno 時間: 2025-3-30 13:18 作者: laxative 時間: 2025-3-30 19:26 作者: 標準 時間: 2025-3-31 00:04 作者: Gesture 時間: 2025-3-31 04:50 作者: 性別 時間: 2025-3-31 07:55 作者: 佛刊 時間: 2025-3-31 13:00 作者: Debrief 時間: 2025-3-31 17:23 作者: 高度贊揚 時間: 2025-3-31 19:55
Ira Shetty M.D.,William A. Scott M.D.M solves an over-determined system of . linear equations by using Nystr?m approximations on a set of prototype vectors (PVs) in the primal. This introduces sparsity in the model along with ability to scale for large datasets. But there exists no formal method for selection of the right value of .. I作者: 輕而薄 時間: 2025-4-1 01:45 作者: paleolithic 時間: 2025-4-1 05:06
Steven Dymarkowski MD, PhD,Hilde Bosmans PhDdom and scale-free graphs, there may be a great variation in the performances of indexes of graph queries. Unfortunately, the structures of graph indexes are often complex and ., so deriving an accurate performance model is a daunting task. As a result, database practitioners may encounter difficult作者: 講個故事逗他 時間: 2025-4-1 08:59
Nonischemic Myocardial Disease,ry that the relative frequencies obey a power-law (sub-linear, or super-linear), for a wide variety of diverse settings: tasks in a phone-call network, like count of friends, count of phone-calls, total count of minutes; tasks in a twitter-like network, like count of tweets, count of followees etc. 作者: 帶來 時間: 2025-4-1 10:37 作者: 向宇宙 時間: 2025-4-1 16:08
Hubert F. Baars,Jeroen F. van der Heijdenicant research interest. The aim of graph stream classification is to learn a discriminative model from a stream of graphs represented by sets of edges on a complex network. In this paper, we propose a fast graph stream classification method using DIscriminative Clique Hashing (DICH). The main idea
