書目名稱Knowledge Discovery in Databases: PKDD 2005影響因子(影響力)學(xué)科排名
書目名稱Knowledge Discovery in Databases: PKDD 2005網(wǎng)絡(luò)公開度
書目名稱Knowledge Discovery in Databases: PKDD 2005網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Knowledge Discovery in Databases: PKDD 2005被引頻次
書目名稱Knowledge Discovery in Databases: PKDD 2005被引頻次學(xué)科排名
書目名稱Knowledge Discovery in Databases: PKDD 2005年度引用
書目名稱Knowledge Discovery in Databases: PKDD 2005年度引用學(xué)科排名
書目名稱Knowledge Discovery in Databases: PKDD 2005讀者反饋
書目名稱Knowledge Discovery in Databases: PKDD 2005讀者反饋學(xué)科排名
作者: constitutional 時間: 2025-3-21 22:37
,-Anonymous Patternsconcept of . from data to patterns, we formally characterize the notion of a threat to anonymity in the context of pattern discovery, and provide a methodology to efficiently and effectively identify all possible such threats that might arise from the disclosure of a set of extracted patterns.作者: 熒光 時間: 2025-3-22 01:29
Realistic, Mathematically Tractable Graph Generation and Evolution, Using Kronecker Multiplicationfer to as “Kronecker graphs”..We show that Kronecker graphs naturally obey all the above properties; in fact, we can rigorously . that they do so. We also provide empirical evidence showing that they can mimic very well several real graphs.作者: 無脊椎 時間: 2025-3-22 07:37
Conference proceedings 2005ere jointly organized this year for the ?fth time in a row, after some years of mutual independence before. After Freiburg (2001), Helsinki (2002), Cavtat (2003) and Pisa (2004), Porto received the 16th edition of ECML and the 9th PKDD in October 3–7. Having the two conferences together seems to be 作者: CHASE 時間: 2025-3-22 11:18 作者: FLUSH 時間: 2025-3-22 15:17
Interestingness is Not a Dichotomy: Introducing Softness in Constrained Pattern Miningsolution, in this paper we introduce the new paradigm of pattern discovery based on .. Albeit simple, the proposed paradigm overcomes all the major methodological drawbacks of the classical constraint-based paradigm, representing an important step further towards practical pattern discovery.作者: Anterior 時間: 2025-3-22 17:22
Generating Dynamic Higher-Order Markov Models in Web Usage Mining three real world data sets. The results show that some pages require a long history to understand the users choice of link, while others require only a short history. We also show that the number of additional states induced by the method can be controlled through a probability threshold parameter.作者: 牙齒 時間: 2025-3-23 00:29 作者: 表主動 時間: 2025-3-23 02:21
Protein Sequence Pattern Mining with Constraintsadth or a depth first traversal are possible. The experimental evaluation, in synthetic and real life protein databases, has shown that our algorithm has superior performance to state-of-the art algorithms. The use of constraints has also proved to be a very useful tool to specify user interesting patterns.作者: 暫停,間歇 時間: 2025-3-23 08:25 作者: 摻假 時間: 2025-3-23 09:52
Improving Generalization by Data Categorizationuite different nature, they give similar and reasonable categorization. Results with real-world datasets further demonstrate that treating the three data categories differently in learning can improve generalization.作者: 種類 時間: 2025-3-23 16:51
0302-9743 s (PKDD) were jointly organized this year for the ?fth time in a row, after some years of mutual independence before. After Freiburg (2001), Helsinki (2002), Cavtat (2003) and Pisa (2004), Porto received the 16th edition of ECML and the 9th PKDD in October 3–7. Having the two conferences together se作者: Immortal 時間: 2025-3-23 19:46
Focus the Mining Beacon: Lessons and Challenges from the World of E-Commercee present important lessons and challenges using e-commerce examples across two dimensions: (i) business-level to technical, and (ii) the mining lifecycle from data collection, data warehouse construction, to discovery and deployment. Many of the lessons and challenges are applicable to domains outside e-commerce.作者: 一瞥 時間: 2025-3-23 23:54 作者: 歌劇等 時間: 2025-3-24 04:27
Cluster Aggregate Inequality and Multi-level Hierarchical Clusteringsion of clusters can be translated into kNN consistency which is guaranteed by the multi-level algorithm; (3) For similarity-based linkage functions, the multi-level algorithm is naturally implemented as graph contraction. The effectiveness of our algorithms is demonstrated on a number of real life applications.作者: 文藝 時間: 2025-3-24 06:37 作者: infringe 時間: 2025-3-24 12:42
A Correspondence Between Maximal Complete Bipartite Subgraphs and Closed Patterns subgraph, there always exists a unique pair of closed patterns that matches the two vertex sets of the subgraph. Therefore, we can enumerate all maximal complete bipartite subgraphs by using efficient algorithms for mining closed patterns which have been extensively studied in the data mining field.作者: 關(guān)心 時間: 2025-3-24 17:38 作者: Polydipsia 時間: 2025-3-24 21:52 作者: Extemporize 時間: 2025-3-24 23:42 作者: FOLD 時間: 2025-3-25 05:44 作者: 闡明 時間: 2025-3-25 08:18
Chi-Hoon Lee,Russell Greiner,Mark Schmidt ?on December 2011, and the thi.rd in Hammamet?on December 2013.The last seminar, which took place December 18th to 23rd 2015 in Monastir, Tunisia, has promoted further research in all the fields where the main focus was in the area of Analysis, algebra and geometry and on topics of joint collaborat作者: myalgia 時間: 2025-3-25 13:21 作者: 無畏 時間: 2025-3-25 16:47 作者: HERE 時間: 2025-3-25 21:16 作者: 虛情假意 時間: 2025-3-26 01:02 作者: BUCK 時間: 2025-3-26 07:00
Machine Learning for Natural Language Processing (and Vice Versa?)the role that natural language processing might play in machine learning research. Here, I will explain the kinds of text-based features that are relatively easy to incorporate into machine learning data sets. In addition, I’ll outline some problems from natural language processing that require, or 作者: cardiopulmonary 時間: 2025-3-26 10:39
Statistical Relational Learning: An Inductive Logic Programming Perspectiveand Cussens[2], Bayesian logic programs[10,8] by Kersting and De Raedt, and Logical Hidden Markov Models[11]..The main contribution of this talk is the introduction of three probabilistic inductive logic programming settings which are derived from the learning from entailment, from interpretations a作者: 轉(zhuǎn)折點 時間: 2025-3-26 14:32 作者: pacifist 時間: 2025-3-26 20:40 作者: 補(bǔ)助 時間: 2025-3-26 21:11 作者: notice 時間: 2025-3-27 03:05 作者: CONE 時間: 2025-3-27 05:43 作者: Needlework 時間: 2025-3-27 11:31 作者: 有特色 時間: 2025-3-27 14:33
978-3-540-29244-9Springer-Verlag Berlin Heidelberg 2005作者: 賞心悅目 時間: 2025-3-27 19:46
Knowledge Discovery in Databases: PKDD 2005978-3-540-31665-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 直言不諱 時間: 2025-3-28 00:43
https://doi.org/10.1007/11564126SVM classification; algorithmic learning; association rule mining; bayesian learning; clustering; data an作者: 妨礙議事 時間: 2025-3-28 04:42 作者: crescendo 時間: 2025-3-28 06:25
ave appeared in recent years at mathematics competitions around the globe, as well as on some classical examples and theorems. It is based on the combined teaching experience of the authors (coaches of several Mathematical Olympiad teams in Brazil, Romania and the USA) and? presents comprehensive th作者: Outmoded 時間: 2025-3-28 10:57 作者: nonsensical 時間: 2025-3-28 16:53 作者: 昏睡中 時間: 2025-3-28 20:27
Eamonn Keoghnd tested examples and exercises have been included. The translator, Prof. Charles Thomas, has solved the difficult problem of the German text into English in an admirable way. He deserves transferring our ‘Unreserved praise and special thailks. Finally, we would like to express our gratitude to Spr作者: agitate 時間: 2025-3-28 23:36
Pedro Gabriel Ferreira,Paulo J. Azevedoups.Includes hot topics presented at the 5th Tunisian-Japane.This book presents a number of important contributions focusing on harmonic analysis and representation theory of Lie groups. All were originally presented at the 5.th. Tunisian–Japanese conference “Geometric and Harmonic Analysis on Homog作者: 極端的正確性 時間: 2025-3-29 04:47 作者: Confess 時間: 2025-3-29 11:04
Chi-Hoon Lee,Russell Greiner,Mark Schmidtcludes the most recent developments on other areas of mathematics including algebra and geometry..Lie group representation theory and harmonic analysis on Lie groups and on their homogeneous?spaces form a significant and important area of mathematical research. These areas are interrelated with?vari作者: Console 時間: 2025-3-29 14:07
Jurij Leskovec,Deepayan Chakrabarti,Jon Kleinberg,Christos Faloutsosperformance appears to be quite different from that of robots. Human haptic perception is not compatible with Riemannian geometry, the foundation of classical mechanics and robot control. Instead, evidence suggests that human control is based on dynamic primitives, which enable highly dynamic behavi作者: multiply 時間: 2025-3-29 15:46
Jinyan Li,Haiquan Li,Donny Soh,Limsoon Wongructure of complex body movements in humans helps to develop flexible technical algorithms for movement synthesis. This chapter summarizes work that uses learned structured representations for the synthesis of complex human-like body movements in real-time. This work follows two different general ap作者: lymphoma 時間: 2025-3-29 21:05 作者: 支形吊燈 時間: 2025-3-30 00:20 作者: MUTED 時間: 2025-3-30 05:24
Machine Learning for Natural Language Processing (and Vice Versa?)ge processing. This talk will begin by covering the history of this transformation. In particular, learning methods have proved successful in producing stand-alone text-processing components to handle a number of linguistic tasks. Moreover, these components can be combined to produce systems that ex作者: SKIFF 時間: 2025-3-30 09:47 作者: circumvent 時間: 2025-3-30 16:22
Recent Advances in Mining Time Series Data”time series”, including text, DNA, video, images etc. The last decade has seen an explosion of interest in mining time series data from the academic community. There has been significant work on algorithms to classify, cluster, segment, index, discover rules, visualize, and detect anomalies/novelti作者: CLEAR 時間: 2025-3-30 19:40
Focus the Mining Beacon: Lessons and Challenges from the World of E-Commercenable domain, and measurable ROI, multiple companies use data mining and knowledge discovery to understand their customers and improve interactions. We present important lessons and challenges using e-commerce examples across two dimensions: (i) business-level to technical, and (ii) the mining lifec作者: ANTE 時間: 2025-3-30 22:00
Data Streams and Data Synopses for Massive Data Setsrithmic techniques and data structures are not always suitable to handle the amount of data that is required and the fact that the data often streams by and cannot be accessed again. A field of research established over the past decade is that of handling massive data sets using data synopses, and d作者: 珍奇 時間: 2025-3-31 01:25
,-Anonymous Patterns and patterns, in order to ensure a required statistical significance, represent a large number of individuals and thus conceal individual identities: this is the case of the minimum support threshold in association rule mining. In this paper we show that this belief is ill-founded. By shifting the 作者: 充氣女 時間: 2025-3-31 05:33 作者: Fsh238 時間: 2025-3-31 11:29
Generating Dynamic Higher-Order Markov Models in Web Usage Miningv model that accurately represents second-order transition probabilities given by a collection of navigation sessions. Herein, we propose a generalisation of the method that takes into account higher-order conditional probabilities. The method makes use of the state cloning concept together with a c作者: Aggressive 時間: 2025-3-31 17:11
, , – Decision Trees for Tree Structured Datatate-of-the-art tree mining with sophisticated pruning techniques to find the most discriminative pattern in each node. In contrast to existing methods, .. uses no heuristics and only a single, statistically well founded parameter has to be chosen by the user. The experiments show that .. classifier作者: 障礙 時間: 2025-3-31 18:21 作者: 闡釋 時間: 2025-3-31 23:34 作者: Muscularis 時間: 2025-4-1 04:16 作者: assail 時間: 2025-4-1 09:40
Protein Sequence Pattern Mining with Constraints(several hundreds of sequences), we propose a new sequence mining algorithm (.). . was developed for linear sequence pattern mining and results from the combination of some of the most efficient techniques used in sequence and itemset mining. The algorithm exhibits a high adaptability, yielding a sm
