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SDM
2012
SIAM
247views Data Mining» more  SDM 2012»
13 years 9 months ago
Simplex Distributions for Embedding Data Matrices over Time
Early stress recognition is of great relevance in precision plant protection. Pre-symptomatic water stress detection is of particular interest, ultimately helping to meet the chal...
Kristian Kersting, Mirwaes Wahabzada, Christoph R&...
JISE
2008
108views more  JISE 2008»
15 years 7 months ago
Efficient Discovery of Frequent Continuities by Projected Window List Technology
Mining frequent patterns in databases is a fundamental and essential problem in data mining research. A continuity is a kind of causal relationship which describes a definite temp...
Kuo-Yu Huang, Chia-Hui Chang, Kuo-Zui Lin
KDD
2008
ACM
159views Data Mining» more  KDD 2008»
16 years 7 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
KDD
2005
ACM
80views Data Mining» more  KDD 2005»
16 years 7 months ago
Wavelet synopsis for data streams: minimizing non-euclidean error
We consider the wavelet synopsis construction problem for data streams where given n numbers we wish to estimate the data by constructing a synopsis, whose size, say B is much sma...
Sudipto Guha, Boulos Harb
KDD
2002
ACM
155views Data Mining» more  KDD 2002»
16 years 7 months ago
SyMP: an efficient clustering approach to identify clusters of arbitrary shapes in large data sets
We propose a new clustering algorithm, called SyMP, which is based on synchronization of pulse-coupled oscillators. SyMP represents each data point by an Integrate-and-Fire oscill...
Hichem Frigui