Abstract: Visualizing data by graphing a response against certain factors, and conditioning on other factors, has arisen independently in many contexts. One is the interaction plot...
Montserrat Fuentes, Bowei Xi, William S. Cleveland
Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
Background: There is a vast need to find clinically applicable protein biomarkers as support in cancer diagnosis and tumour classification. In proteomics research, a number of met...
Current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (if anything)...
Tuning database system configuration parameters to proper values according to the expected query workload plays a very important role in determining DBMS performance. However, the ...
Biplob K. Debnath, Mohamed F. Mokbel, David J. Lil...