References for KDD work

Some important references for Data-driven Analysis of Nuclear Simulation Data. For a more comprehensive list, please visit the bibliography of the published work on "Knowledge Discovery for Nuclear Reactor Simulation Data".

Research Papers

• Efficient algorithms for mining outliers from large data sets
• On-line Monitoring for improving performance of Nuclear Power Plants
• LOF: Local Outlier Factor
• Outlier Detection by Active Learning
• On Estimation of a Probability Density Function and Mode
• Anomaly Detection: A Survey On Estimation of a Probability Density Function and Mode
• Parzen-Window Network Intrusion Detectors
• Anomaly Detection in Large Graphs
• MAFIA (Maximal Frequent Itemset Mining)
• Neighborhood Formation and Anomaly Detection in Bipartite Graphs
• Anomaly Detection Applet

Books/Book Chapters

• kmeans algorithm
• Scoring Term, Weighting, vector space model
• Data Mining Book
• Mining Massive Datasets
• Dimensionality Reduction

Tutorials

• Data Mining / Machine Learning Tutorial
• Kernel Density Estimate
• MAFIA (Maximal Frequent Itemset Mining)

Software

• MAFIA (Maximal Frequent Itemset Mining)
• Anomaly Detection Applet
• Outlier Detection Toolbox