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KDD
2009
ACM
269views Data Mining» more  KDD 2009»
16 years 11 days ago
Extracting discriminative concepts for domain adaptation in text mining
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
Bo Chen, Wai Lam, Ivor Tsang, Tak-Lam Wong
ACSC
2009
IEEE
15 years 6 months ago
A ConceptLink Graph for Text Structure Mining
Most text mining methods are based on representing documents using a vector space model, commonly known as a bag of word model, where each document is modeled as a linear vector r...
Rowena Chau, Ah Chung Tsoi, Markus Hagenbuchner, V...
BPM
2006
Springer
153views Business» more  BPM 2006»
15 years 3 months ago
Decision Mining in ProM
Process-aware Information Systems typically log events (e.g., in transaction logs or audit trails) related to the actual business process executions. Proper analysis of these execu...
Anne Rozinat, Wil M. P. van der Aalst
ICMLA
2009
14 years 9 months ago
Knowledge Transfer for Feature Generation in Document Classification
One important problem in machine learning is how to extract knowledge from prior experience, then transfer and apply this knowledge in new learning tasks. To address this problem, ...
Jian Zhang, Shobhit S. Shakya
IMC
2006
ACM
15 years 5 months ago
Semi-automated discovery of application session structure
While the problem of analyzing network traffic at the granularity of individual connections has seen considerable previous work and tool development, understanding traffic at a ...
Jayanthkumar Kannan, Jaeyeon Jung, Vern Paxson, Ca...