دورية أكاديمية
Borgne, “An adaptive modular approach to the mining of sensor network data
| العنوان: | Borgne, “An adaptive modular approach to the mining of sensor network data |
|---|---|
| المؤلفون: | Gianluca Bontempi, Yann-aël Le Borgne |
| المساهمون: | The Pennsylvania State University CiteSeerX Archives |
| المصدر: | http://www.ulb.ac.be/di/map/gbonte/ftp/bontempi_leborgne.pdfTest. |
| سنة النشر: | 2005 |
| المجموعة: | CiteSeerX |
| الوصف: | This paper proposes a two-layer modular architecture to adaptively perform data mining tasks in large sensor networks. The architecture consists in a lower layer which performs data aggregation in a modular fashion and in an upper layer which employs an adaptive local learning technique to extract a prediction model from the aggregated information. The rationale of the approach is that a modular aggregation of sensor data can serve jointly two purposes: first, the organization of sensors in clusters, then reducing the communication effort, second, the dimensionality reduction of the data mining task, then improving the accuracy of the sensing task. 1 Introduction. |
| نوع الوثيقة: | text |
| وصف الملف: | application/pdf |
| اللغة: | English |
| العلاقة: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.335.9897Test; http://www.ulb.ac.be/di/map/gbonte/ftp/bontempi_leborgne.pdfTest |
| الإتاحة: | http://www.ulb.ac.be/di/map/gbonte/ftp/bontempi_leborgne.pdfTest |
| حقوق: | Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
| رقم الانضمام: | edsbas.7C5354F3 |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |