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检索条件"任意字段=5th International Conference on Machine Learning and Data Mining in Pattern Recognition"
3165 条 记 录,以下是2651-2660 订阅
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Development of an agreement metric based upon the RAND index for the evaluation of dimensionality reduction techniques, with applications to mapping customer data  1
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5th international conference on machine learning and data mining in pattern recognition
作者: France, Stephen Carroll, Douglas Rutgers State Univ Grad Sch Management Newark NJ 07102 USA
We develop a metric Psi, based upon the RAND index, for the comparison and evaluation of dimensionality reduction techniques. this metric is designed to test the preservation of neighborhood structure in derived lower... 详细信息
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mining maximal frequent itemsets in data streams based on FP-Tree  1
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5th international conference on machine learning and data mining in pattern recognition
作者: Ao, Fujiang Yan, Yuejin Huang, Jian Huang, Kedi Natl Univ Def & Technol Sch Mech Engn & Automat Changsha 410073 Peoples R China Natl Univ Def Technol Sch Comp Sci Changsha 410073 Peoples R China
mining maximal frequent itemsets in data streams is more difficult than mining them in static databases for the huge, high-speed and continuous characteristics of data streams. In this paper, we propose a novel one-pa... 详细信息
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A unified view of objective interestingness measures  1
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5th international conference on machine learning and data mining in pattern recognition
作者: Hebert, Celine Cremilleux, Bruno Univ Caen GREYC CNRS UMR 6072 Campus Cote Nacre F-14032 Caen France
Association rule mining often results in an overwhelming number of rules. In practice, it is difficult for the final user to select the most relevant rules. In order to tackle this problem, various interestingness mea... 详细信息
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Blog mining for the fortune 500  1
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5th international conference on machine learning and data mining in pattern recognition
作者: Geller, James Parikh, Sapankumar Krishnan, Sriram New Jersey Inst Technol Dept Comp Sci Coll Comp Sci Newark NJ 07102 USA
In recent years there has been a tremendous increase in the number of users maintaining online blogs on the Internet. Companies, in particular, have become aware of this medium of communication and have taken a keen i... 详细信息
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Application of Fractal theory for on-line and off-line farsi digit recognition  1
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5th international conference on machine learning and data mining in pattern recognition
作者: Mozaffari, Saeed Faez, Karim Maergner, Volker Amirkabir Univ Technol Pattern Recognit & Image Proc Lab Dept Elect Engn Tehran 15914 Iran Techl Univ Braunschweig Inst Comm Technol IfN Braunschweig Germany
Fractal theory has been used for computer graphics, image compression and different fields of pattern recognition. In this paper, a fractal based method for recognition of both on-line and off-line Farsi/Arabic handwr... 详细信息
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mining frequent trajectories of moving objects for location prediction  1
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5th international conference on machine learning and data mining in pattern recognition
作者: Morzy, Mikolaj Poznan Univ Tech Inst Comp Sci PL-60965 Poznan Poland
Advances in wireless and mobile technology flood us with amounts of moving object data that preclude all means of manual data processing. the volume of data gathered from position sensors of mobile phones, PDAs, or ve... 详细信息
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FIDS: Monitoring frequent items over distributed data streams  1
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5th international conference on machine learning and data mining in pattern recognition
作者: Fuller, Robert Kantardzic, Mehmed Univ Louisville Dept Comp Sci & Comp Engn Louisville KY 40292 USA
Many applications require the discovery of items which have occur frequently within multiple distributed data streams. Past solutions for this problem either require a high degree of error tolerance or can only provid... 详细信息
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Generic probability density function reconstruction for randomization in privacy-preserving data mining  1
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5th international conference on machine learning and data mining in pattern recognition
作者: Tan, Vincent Yan Fu Ng, See-Kiong MIT 77 Massachusetts Ave Cambridge MA 02139 USA Inst Infocomm Res I2R Singapore 119613 Singapore
data perturbation with random noise signals has been shown to be useful for data hiding in privacy-preserving data mining. Perturbation methods based on additive randomization allows accurate estimation of the Probabi... 详细信息
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data selection using SASH trees for support vector machines  1
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5th international conference on machine learning and data mining in pattern recognition
作者: Sun, Chaofan Vilalta, Ricardo Univ Houston Dept Comp Sci 4800 Calhoun Rd Houston TX 77204 USA Ctr Res & Adv Studies CINVESTAV Guadalajara 45010 Jalisco Mexico
this paper presents a data preprocessing procedure to select support vector (SV) candidates. We select decision boundary region vectors (BRVs) as SV candidates. Without the need to use the decision boundary, BRVs can ... 详细信息
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Probabilistic model for structured document mapping application to automatic HTML to XML conversion
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5th international conference on machine learning and data mining in pattern recognition
作者: Wisniewski, Guillaume Maes, Francis Denoyer, Ludovic Gallinari, Patrick Univ Paris 06 LIP6 104 Ave Prsident Kennedy F-75015 Paris France
We address the problem of learning automatically to map heterogeneous semi-structured documents onto a mediated target XML schema. We adopt a machine learning approach where the mapping between input and target docume... 详细信息
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