Difference between revisions of "References for KDD work"

Revision as of 12:51, 7 March 2015

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 http://nlp.stanford.edu/IR-book/html/.../k-means-1.html#sec:kmeans
• Scoring Term, Weighting, vector space model http://nlp.stanford.edu/IR-book/pdf/06vect.pdf...
• Data Mining Book http://www-users.cs.umn.edu/~kumar/dm.../index.php
• Mining Massive Datasets http://i.stanford.edu/~ullman/mmds/booka.pdf...
• Dimensionality Reduction http://www.stat.cmu.edu/~cshalizi/490.../pca-handout.pdf

Tutorials

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

Software