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» Phenomenal Data Mining: From Data to Phenomena
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KDD
2005
ACM
146views Data Mining» more  KDD 2005»
14 years 9 months ago
Anonymity-preserving data collection
Protection of privacy has become an important problem in data mining. In particular, individuals have become increasingly unwilling to share their data, frequently resulting in in...
Zhiqiang Yang, Sheng Zhong, Rebecca N. Wright
JIB
2010
90views more  JIB 2010»
13 years 7 months ago
Enhancing Data Integration with Text Analysis to Find Proteins Implicated in Plant Stress Response
s text mining techniques over Medline abstracts as a method for accessing both these bodies of evidence in a consistent way. In an example use case, we apply our method to create a...
Keywan Hassani-Pak, Roxane Legaie, Catherine Canev...
SAC
2009
ACM
14 years 3 months ago
Evaluating algorithms that learn from data streams
In the past years, the theory and practice of machine learning and data mining have been focused on static and finite data sets from where learning algorithms generate a static m...
João Gama, Pedro Pereira Rodrigues, Raquel ...
DIS
2004
Springer
14 years 2 months ago
A Methodology for Biologically Relevant Pattern Discovery from Gene Expression Data
Abstract. One of the most exciting scientific challenges in functional genomics concerns the discovery of biologically relevant patterns from gene expression data. For instance, i...
Ruggero G. Pensa, Jérémy Besson, Jea...
IJAR
2011
118views more  IJAR 2011»
13 years 17 days ago
A sequential pattern mining algorithm using rough set theory
Sequential pattern mining is a crucial but challenging task in many applications, e.g., analyzing the behaviors of data in transactions and discovering frequent patterns in time se...
Ken Kaneiwa, Yasuo Kudo