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DIS
1999
Springer
13 years 9 months ago
Knowledge Discovery from Health Data Using Weighted Aggregation Classifiers
Toru Takae, Minoru Chikamune, Hiroki Arimura, Ayum...
KDD
2003
ACM
148views Data Mining» more  KDD 2003»
14 years 5 months ago
Mining concept-drifting data streams using ensemble classifiers
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han
SEAAI
1998
Springer
13 years 9 months ago
Using knowledge nodes for knowledge discovery and collaboration
Today most of the information we produce is stored digitally. We are slowly forced to leave behind us thinking about information as something stored in physical containers as books...
Per Christiansson
KDD
1998
ACM
145views Data Mining» more  KDD 1998»
13 years 9 months ago
Aggregation of Imprecise and Uncertain Information for Knowledge Discovery in Databases
We consider the problem of aggregation for uncertain and imprecise data. For such data, we define aggregation operators and use them to provide information on properties and patte...
Sally I. McClean, Bryan W. Scotney, Mary Shapcott
SDM
2010
SIAM
156views Data Mining» more  SDM 2010»
13 years 6 months ago
Unsupervised Discovery of Abnormal Activity Occurrences in Multi-dimensional Time Series, with Applications in Wearable Systems
We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
Alireza Vahdatpour, Majid Sarrafzadeh