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GECCO
2008
Springer
115views Optimization» more  GECCO 2008»
15 years 8 months ago
A genetic programming approach to business process mining
The aim of process mining is to identify and extract process patterns from data logs to reconstruct an overall process flowchart. As business processes become more and more comple...
Chris J. Turner, Ashutosh Tiwari, Jörn Mehnen
PAKDD
2004
ACM
131views Data Mining» more  PAKDD 2004»
16 years 15 days ago
A Tree-Based Approach to the Discovery of Diagnostic Biomarkers for Ovarian Cancer
Computational diagnosis of cancer is a classification problem, and it has two special requirements on a learning algorithm: perfect accuracy and small number of features used in t...
Jinyan Li, Kotagiri Ramamohanarao
SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
15 years 8 months ago
MACH: Fast Randomized Tensor Decompositions
Tensors naturally model many real world processes which generate multi-aspect data. Such processes appear in many different research disciplines, e.g, chemometrics, computer visio...
Charalampos E. Tsourakakis
KDD
2012
ACM
185views Data Mining» more  KDD 2012»
13 years 9 months ago
A framework for summarizing and analyzing twitter feeds
The firehose of data generated by users on social networking and microblogging sites such as Facebook and Twitter is enormous. Real-time analytics on such data is challenging wit...
Xintian Yang, Amol Ghoting, Yiye Ruan, Srinivasan ...
ICDE
2006
IEEE
152views Database» more  ICDE 2006»
16 years 8 months ago
Mining Actionable Patterns by Role Models
Data mining promises to discover valid and potentially useful patterns in data. Often, discovered patterns are not useful to the user. "Actionability" addresses this pro...
Ke Wang, Yuelong Jiang, Alexander Tuzhilin