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WMCSA
2003
IEEE
14 years 3 months ago
Proximity Mining: Finding Proximity using Sensor Data History
Emerging ubiquitous and pervasive computing applications often need to know where things are physically located. To meet this need, many locationsensing systems have been develope...
Toshihiro Takada, Satoshi Kurihara, Toshio Hirotsu...
KDD
2007
ACM
202views Data Mining» more  KDD 2007»
14 years 10 months ago
Support feature machine for classification of abnormal brain activity
In this study, a novel multidimensional time series classification technique, namely support feature machine (SFM), is proposed. SFM is inspired by the optimization model of suppo...
Wanpracha Art Chaovalitwongse, Ya-Ju Fan, Rajesh C...
APWEB
2006
Springer
14 years 1 months ago
Efficient Mining Strategy for Frequent Serial Episodes in Temporal Database
Discovering patterns with great significance is an important problem in data mining discipline. A serial episode is defined to be a partially ordered set of events for consecutive ...
Kuo-Yu Huang, Chia-Hui Chang
ICDE
2004
IEEE
144views Database» more  ICDE 2004»
14 years 11 months ago
Spatio-Temporal Aggregation Using Sketches
Several spatio-temporal applications require the retrieval of summarized information about moving objects that lie in a query region during a query interval (e.g., the number of m...
Yufei Tao, George Kollios, Jeffrey Considine, Feif...
COMPSAC
2004
IEEE
14 years 1 months ago
Efficient Partial Multiple Periodic Patterns Mining without Redundant Rules
Partial periodic patterns mining is a very interesting domain in data mining problem. In the previous studies, full and partial multiple periodic patterns mining problems are cons...
Wenpo Yang, Guanling Lee