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» Intrusion Detection Based on Data Mining
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PAKDD
2004
ACM
137views Data Mining» more  PAKDD 2004»
15 years 5 months ago
Fast and Light Boosting for Adaptive Mining of Data Streams
Supporting continuous mining queries on data streams requires algorithms that (i) are fast, (ii) make light demands on memory resources, and (iii) are easily to adapt to concept dr...
Fang Chu, Carlo Zaniolo
APBC
2004
121views Bioinformatics» more  APBC 2004»
15 years 1 months ago
Using Emerging Pattern Based Projected Clustering and Gene Expression Data for Cancer Detection
Using gene expression data for cancer detection is one of the famous research topics in bioinformatics. Theoretically, gene expression data is capable to detect all types of early...
Larry T. H. Yu, Fu-Lai Chung, Stephen Chi-fai Chan...
ICARIS
2007
Springer
15 years 6 months ago
Towards a Novel Immune Inspired Approach to Temporal Anomaly Detection
Abstract. In this conceptual paper, we report on studies and initial definitions of an immune-inspired approach to temporal anomaly detection problems, where there is a strict temp...
Thiago S. Guzella, Tomaz A. Mota-Santos, Walmir M....
KDD
2008
ACM
183views Data Mining» more  KDD 2008»
16 years 7 days ago
Knowledge transfer via multiple model local structure mapping
The effectiveness of knowledge transfer using classification algorithms depends on the difference between the distribution that generates the training examples and the one from wh...
Jing Gao, Wei Fan, Jing Jiang, Jiawei Han
EPIA
2005
Springer
15 years 5 months ago
Monitoring the Quality of Meta-data in Web Portals Using Statistics, Visualization and Data Mining
We propose a methodology to monitor the quality of the meta-data used to describe content in web portals. It is based on the analysis of the meta-data using statistics, visualizati...
Carlos Soares, Alípio Mário Jorge, M...