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» Phenomenal Data Mining: From Data to Phenomena
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PKDD
2009
Springer
103views Data Mining» more  PKDD 2009»
15 years 8 months ago
Kernels for Periodic Time Series Arising in Astronomy
Abstract. We present a method for applying machine learning algorithms to the automatic classification of astronomy star surveys using time series of star brightness. Currently su...
Gabriel Wachman, Roni Khardon, Pavlos Protopapas, ...
PKDD
2009
Springer
136views Data Mining» more  PKDD 2009»
15 years 8 months ago
Integrating Logical Reasoning and Probabilistic Chain Graphs
Probabilistic logics have attracted a great deal of attention during the past few years. While logical languages have taken a central position in research on knowledge representati...
Arjen Hommersom, Nivea de Carvalho Ferreira, Peter...
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ICDM
2007
IEEE
187views Data Mining» more  ICDM 2007»
15 years 8 months ago
Statistical Learning Algorithm for Tree Similarity
Tree edit distance is one of the most frequently used distance measures for comparing trees. When using the tree edit distance, we need to determine the cost of each operation, bu...
Atsuhiro Takasu, Daiji Fukagawa, Tatsuya Akutsu
ICDM
2007
IEEE
132views Data Mining» more  ICDM 2007»
15 years 8 months ago
Learning What Makes a Society Tick
We present a machine learning methodology (models, algorithms, and experimental data) to discovering the agent dynamics that drive the evolution of the social groups in a communit...
Hung-Ching Chen, Mark K. Goldberg, Malik Magdon-Is...
DAWAK
2007
Springer
15 years 7 months ago
OLAP Technology for Business Process Intelligence: Challenges and Solutions
The emerging area of business process intelligence aims at enhancing the analysis power of business process management systems by employing data warehousing and mining technologies...
Svetlana Mansmann, Thomas Neumuth, Marc H. Scholl