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» Evaluation of Sampling for Data Mining of Association Rules
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CORR
2010
Springer
179views Education» more  CORR 2010»
14 years 9 months ago
Comparison of Support Vector Machine and Back Propagation Neural Network in Evaluating the Enterprise Financial Distress
Recently, applying the novel data mining techniques for evaluating enterprise financial distress has received much research alternation. Support Vector Machine (SVM) and back prop...
Ming-Chang Lee, To Chang
108
Voted
ICDM
2005
IEEE
177views Data Mining» more  ICDM 2005»
15 years 6 months ago
Average Number of Frequent (Closed) Patterns in Bernouilli and Markovian Databases
In data mining, enumerate the frequent or the closed patterns is often the first difficult task leading to the association rules discovery. The number of these patterns represen...
Loïck Lhote, François Rioult, Arnaud S...
105
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KDD
2010
ACM
208views Data Mining» more  KDD 2010»
14 years 11 months ago
Towards mobility-based clustering
Identifying hot spots of moving vehicles in an urban area is essential to many smart city applications. The practical research on hot spots in smart city presents many unique feat...
Siyuan Liu, Yunhuai Liu, Lionel M. Ni, Jianping Fa...
115
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GI
2009
Springer
14 years 10 months ago
Modelling Missing Values for Audience Measurement in Outdoor Advertising Using GPS Data
Abstract: GPS technology has made it possible to evaluate the performance of outdoor advertising campaigns in an objective manner. Given the GPS trajectories of a sample of test pe...
Michael May, Christine Körner, Dirk Hecker, M...
PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
15 years 7 months ago
Sparse Kernel SVMs via Cutting-Plane Training
We explore an algorithm for training SVMs with Kernels that can represent the learned rule using arbitrary basis vectors, not just the support vectors (SVs) from the training set. ...
Thorsten Joachims, Chun-Nam John Yu