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DMIN
2006
174views Data Mining» more  DMIN 2006»
15 years 5 months ago
Association Rule Mining from XML Data
- With the growing usage of XML in the World Wide Web and elsewhere as a standard for the exchange of data and to represent semistructured data, there is an imminent need for tools...
Qin Ding, Gnanasekaran Sundarraj
PAKDD
2005
ACM
133views Data Mining» more  PAKDD 2005»
15 years 10 months ago
An Anomaly Detection Method for Spacecraft Using Relevance Vector Learning
This paper proposes a novel anomaly detection system for spacecrafts based on data mining techniques. It constructs a nonlinear probabilistic model w.r.t. behavior of a spacecraft ...
Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida
DIS
2009
Springer
15 years 11 months ago
A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams
Some challenges in frequent pattern mining from data streams are the drift of data distribution and the computational efficiency. In this work an additional challenge is considered...
Fabio Fumarola, Anna Ciampi, Annalisa Appice, Dona...
KDD
2008
ACM
178views Data Mining» more  KDD 2008»
16 years 4 months ago
iSAX: indexing and mining terabyte sized time series
Current research in indexing and mining time series data has produced many interesting algorithms and representations. However, it has not led to algorithms that can scale to the ...
Jin Shieh, Eamonn J. Keogh
KDD
2002
ACM
150views Data Mining» more  KDD 2002»
16 years 4 months ago
Querying multiple sets of discovered rules
Rule mining is an important data mining task that has been applied to numerous real-world applications. Often a rule mining system generates a large number of rules and only a sma...
Alexander Tuzhilin, Bing Liu