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Difference between revisions of "References for KDD work"
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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". | 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 == | == Research Papers == | ||
| − | * | + | * [http://delivery.acm.org/10.1145/34000.../p427-ramaswamy.pdf?ip=128.219.49.13&acc=ACTIVE%20SERVICE&CFID=187949940&CFTOKEN=26392576&acm=1351603535_5fa4e0fbe85b940c14ecab8e9a668695 Efficient algorithms for mining outliers from large data sets] |
| − | * | + | * [http://www-pub.iaea.org/MTCD/publicat.../Pub1323_web.pdf On-line Monitoring for improving performance of Nuclear Power Plants] |
| − | * | + | * [http://www.dbs.ifi.lmu.de/Publikation.../LOF.pdf LOF: Local Outlier Factor] |
| − | * | + | * [http://delivery.acm.org/10.1145/11600.../p504-abe.pdf?ip=128.219.49.13&acc=ACTIVE%20SERVICE&CFID=187949940&CF Outlier Detection by Active Learning] |
| − | * | + | * [http://projecteuclid.org/DPubS/Reposi.../1177704472 |
| − | * Anomaly Detection: A Survey http://delivery.acm.org/10.1145/15500.../a15-chandola.pdf?ip=128.219.49.13&acc=ACTIVE%20SERVICE&CFID=187949940&CFTOKEN=26392576&acm=1352303119_2444e6229cfc560eff2a04d04e01a48b | + | * Anomaly Detection: A Survey http://delivery.acm.org/10.1145/15500.../a15-chandola.pdf?ip=128.219.49.13&acc=ACTIVE%20SERVICE&CFID=187949940&CFTOKEN=26392576&acm=1352303119_2444e6229cfc560eff2a04d04e01a48b On Estimation of a Probability Density Function and Mode] |
| − | * | + | * [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1047476... Parzen-Window Network Intrusion Detectors] |
| − | * | + | * [http://www.cs.cmu.edu/~lakoglu/pubs/oddball_TR.pdf Anomaly Detection in Large Graphs] |
| − | * | + | * [http://www.cs.cornell.edu/johannes/pa.../icde2001-mafia.pdf MAFIA (Maximal Frequent Itemset Mining)] |
| − | * | + | * [http://www.cs.cmu.edu/afs/cs.cmu.edu/.../icdm05.pdf Neighborhood Formation and Anomaly Detection in Bipartite Graphs] |
| − | + | * [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1467713... Anomaly Detection Applet] | |
| + | |||
== Books/Book Chapters == | == Books/Book Chapters == | ||
* kmeans algorithm http://nlp.stanford.edu/IR-book/html/.../k-means-1.html#sec:kmeans | * kmeans algorithm http://nlp.stanford.edu/IR-book/html/.../k-means-1.html#sec:kmeans | ||
Revision as of 12:48, 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
- [http://projecteuclid.org/DPubS/Reposi.../1177704472
- Anomaly Detection: A Survey http://delivery.acm.org/10.1145/15500.../a15-chandola.pdf?ip=128.219.49.13&acc=ACTIVE%20SERVICE&CFID=187949940&CFTOKEN=26392576&acm=1352303119_2444e6229cfc560eff2a04d04e01a48b 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)