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» Using Anonymized Data for Classification
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128
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ICDE
2005
IEEE
183views Database» more  ICDE 2005»
15 years 6 months ago
Protection of Location Privacy using Dummies for Location-based Services
Recently, highly accurate positioning devices enable us to provide various types of location-based services. On the other hand, because position data obtained by such devices incl...
Hidetoshi Kido, Yutaka Yanagisawa, Tetsuji Satoh
124
Voted
FBIT
2007
IEEE
15 years 4 months ago
Early Detection of Prostate Cancer with Classifier Ensembles
We investigate the performance of different classification models and their ability to recognize prostate cancer in an early state. We build ensembles of classification models in ...
Jörg D. Wichard, Henning Cammann, Carsten Ste...
IJCNN
2000
IEEE
15 years 4 months ago
A Training Method with Small Computation for Classification
A training data selection method for multi-class data is proposed. This method can be used for multilayer neural networks (MLNN). The MLNN can be applied to pattern classification...
Kazuyuki Hara, Kenji Nakayama
218
Voted
ICDE
2008
IEEE
195views Database» more  ICDE 2008»
16 years 1 months ago
LOCUST: An Online Analytical Processing Framework for High Dimensional Classification of Data Streams
Abstract-- In recent years, data streams have become ubiquitous because of advances in hardware and software technology. The ability to adapt conventional mining problems to data s...
Charu C. Aggarwal, Philip S. Yu
97
Voted
EMNLP
2010
14 years 10 months ago
Negative Training Data Can be Harmful to Text Classification
This paper studies the effects of training data on binary text classification and postulates that negative training data is not needed and may even be harmful for the task. Tradit...
Xiaoli Li, Bing Liu, See-Kiong Ng