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» Fast algorithms for time series mining
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108
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PKDD
2010
Springer
184views Data Mining» more  PKDD 2010»
14 years 10 months ago
Shift-Invariant Grouped Multi-task Learning for Gaussian Processes
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
Yuyang Wang, Roni Khardon, Pavlos Protopapas
94
Voted
ICDM
2006
IEEE
149views Data Mining» more  ICDM 2006»
15 years 6 months ago
Pattern Mining in Frequent Dynamic Subgraphs
Graph-structured data is becoming increasingly abundant in many application domains. Graph mining aims at finding interesting patterns within this data that represent novel knowl...
Karsten M. Borgwardt, Hans-Peter Kriegel, Peter Wa...
KDD
2012
ACM
212views Data Mining» more  KDD 2012»
13 years 2 months ago
Fast bregman divergence NMF using taylor expansion and coordinate descent
Non-negative matrix factorization (NMF) provides a lower rank approximation of a matrix. Due to nonnegativity imposed on the factors, it gives a latent structure that is often mor...
Liangda Li, Guy Lebanon, Haesun Park
KDD
2004
ACM
198views Data Mining» more  KDD 2004»
15 years 5 months ago
Mining traffic data from probe-car system for travel time prediction
We are developing a technique to predict travel time of a vehicle for an objective road section, based on real time traffic data collected through a probe-car system. In the area ...
Takayuki Nakata, Jun-ichi Takeuchi
COMBINATORICS
2004
99views more  COMBINATORICS 2004»
15 years 8 days ago
A Fast Algorithm for MacMahon's Partition Analysis
This paper deals with evaluating constant terms of a special class of rational functions, the Elliott-rational functions. The constant term of such a function can be read off immed...
Guoce Xin