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We introduce an embedded method that simultaneously selects relevant features during classifier construction by penalizing each feature's use in the dual formulation of support vector machines (SVM). This approach called kernel-penalized SVM (KP-SVM) optimizes the shape of an anisotropic RBF Kernel eliminating features that have low relevance for the(More)
  • Linda Cox, Harold Nelson, Richard Lockey, Workgroup, Christopher Calabria, Thomas Chacko +49 others
  • 2010
Immunology have jointly accepted responsibility for establishing ''Allergen immunotherapy: A practice parameter third update.'' This is a complete and comprehensive document at the current time. The medical environment is a changing environment, and not all recommendations will be appropriate for all patients. Because this document incorporated the efforts(More)
Demand forecasts play a crucial role for supply chain management. The future demand for a certain product is the basis for the respective replenishment systems. Several forecasting techniques have been developed, each one with its particular advantages and disadvantages compared to other approaches. This motivates the development of hybrid systems combining(More)
We propose a linearly penalized support vector machines (LP-SVM) model for feature selection. Its application to a problem of customer retention and a comparison with other feature selection techniques underlines its effectiveness. 1 Introduction One of the tasks of Statistics and Data Mining consists of extracting patterns contained in large data bases. In(More)
When a user visits a web site, important information concerning his/her preferences and behavior is stored implicitly in the associated log files. This information can be revealed by using data mining techniques and can be used in order to improve both, content and structure of the respective web site. From the set of possible that define the visitor's(More)
For many companies and/or institutions it is no longer sufficient to have a web site and high quality products or services. What in many cases makes the difference between success and failure of e-business is the potential of the respective web site to attract and retain visitors. This potential is determined by a site's content, its design, and technical(More)
Dynamic data mining is increasingly attracting attention from the respective research community. On the other hand, users of installed data mining systems are also interested in the related techniques and will be even more since most of these installations will need to be updated in the future. For each data mining technique used, we need diierent(More)