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检索条件"任意字段=5th International Conference on Machine Learning and Data Mining in Pattern Recognition"
3185 条 记 录,以下是2881-2890 订阅
learning instance greedily cloning naive Bayes for ranking
Learning instance greedily cloning naive Bayes for ranking
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5th IEEE international conference on data mining
作者: Jiang, LX Zhang, H China Univ Geosci Fac Comp Sci Wuhan 430074 Peoples R China
Naive Bayes(simply NB)[12] has been widely used in machine learning and data mining as a simple and effective classification algorithm. Since its conditional independence assumption is rarely true, researchers have ma... 详细信息
来源: 评论
Interactive classification using a granule network
Interactive classification using a granule network
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4th IEEE international conference on Cognitive Informatics (ICCI 2005)
作者: Zhao, Y Yao, YY Univ Regina Dept Comp Sci Regina SK S4S 0A2 Canada
Classification is one of the main tasks in machine learning, data mining and pattern recognition. Compared with the extensively studied data-driven approaches, the interactively user-driven approaches are less explore... 详细信息
来源: 评论
mining ontological knowledge from domain-specific text documents
Mining ontological knowledge from domain-specific text docum...
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5th IEEE international conference on data mining, ICDM 2005
作者: Jiang, Xing Tan, Ah-Hwee School of Computer Engineering Nanyang Technological University Nanyang Avenue Singapore 639798 Singapore
Traditional text mining systems employ shallow parsing techniques and focus on concept extraction and taxonomic relation extraction. this paper presents a novel system called CRCTOL for mining rich semantic knowledge ... 详细信息
来源: 评论
Variational learning for Noisy-OR Component Analysis
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5th SIAM international conference on data mining
作者: Singliar, Tomas Hauskrecht, Milos Univ Pittsburgh Dept Comp Sci Pittsburgh PA 15260 USA
Latent factor models offer a very useful framework for modeling dependencies in high-dimensional multivariate data. In this work we investigate a class of latent factor models with hidden noisy-or units that let us de... 详细信息
来源: 评论
Fuzzy frequent pattern discovering based on recursive elimination
Fuzzy frequent pattern discovering based on recursive elimin...
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ICMLA 2005: 4th international conference on machine learning and Applications
作者: Xiaomeng, Wang Borgelt, Christian Kruse, Rudolf Department of Knowledge Processing and Language Engineering School of Computer Science Otto-von-Guericke-University of Magdeburg Universitätsplatz 2 39106 Magdeburg Germany
Real life transaction data often miss some occurrences of items that are actually present. As a consequence some potentially interesting frequent patterns cannot be discovered, since with exact matching the number of ... 详细信息
来源: 评论
Discriminant analysis: A unified approach
Discriminant analysis: A unified approach
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5th IEEE international conference on data mining
作者: Zhang, P Peng, J Riedel, N Tulane Univ Dept Elect Engn & Comp Sci New Orleans LA 70118 USA
Linear discriminant analysis (LDA) as a dimension reduction method is widely used in data mining and machine learning. It however suffers from the small sample size (SSS) problem when data dimensionality is greater th... 详细信息
来源: 评论
pattern mining across domain-specific text collections
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4th international conference on machine learning and data mining in pattern recognition, MLDM 2005
作者: Gillam, Lee Ahmad, Khurshid Department of Computing School of Electronics and Physical Sciences University of Surrey Guildford GU2 7XH United Kingdom
this paper discusses a consistency in patterns of language use across domain-specific collections of text. We present a method for the automatic identification of domain-specific keywords - specialist terms - based on... 详细信息
来源: 评论
CoLe: A cooperative data mining approach and its application to early diabetes detection
CoLe: A cooperative data mining approach and its application...
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5th IEEE international conference on data mining, ICDM 2005
作者: Gao, Jie Denzinger, Jörg James, Robert C. Dept of Computer Science University of Calgary Alta. Canada Aechidna Health Informatics Winnipeg Man. Canada
We present CoLe, a cooperative data mining approach for discovering hybrid knowledge. It employs multiple different data mining algorithms, and combines results from them to enhance the mined knowledge. For our medica... 详细信息
来源: 评论
Privacy-preserving frequent pattern mining across private databases
Privacy-preserving frequent pattern mining across private da...
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5th IEEE international conference on data mining, ICDM 2005
作者: Fu, Ada Wai-Chee Wong, Raymond Chi-Wing Wang, Ke Department of Computer Science and Engineering Chinese University of Hong Kong Hong Kong Department of Computer Science Simon Fraser University Canada
Privacy consideration has much significance in the application of data mining. It is very important that the privacy of individual parties will not be exposed when data mining techniques are applied to a large collect... 详细信息
来源: 评论
Hot item mining and summarization from multiple auction Web sites
Hot item mining and summarization from multiple auction Web ...
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5th IEEE international conference on data mining, ICDM 2005
作者: Wong, Tak-Lam Lam, Wai Department of Systems Engineering and Engineering Management Chinese University of Hong Kong Shatin Hong Kong
Online auction Web sites are fast changing, highly dynamic, and complex as they involve tremendous sellers and potential buyers, as well as a huge amount of items listed for bidding. We develop a two-phase framework w... 详细信息
来源: 评论