update

PerfSONAR/Paper/mybibfile.bib

@@ -0,0 +1,159 @@
+@MISC{jedan,
+    author = {Brian Tierney and Joe Metzger and Jeff Boote and Eric Boyd and Aaron Brown and Rich Carlson and Matt Zekauskas and Jason Zurawski and Martin Swany and Maxim Grigoriev},
+    title = {perfSONAR: Instantiating a Global Network Measurement Framework},
+    year = {}
+}
+
+@article{dva,
+ author = {Chandola, Varun and Banerjee, Arindam and Kumar, Vipin},
+ title = {Anomaly Detection: A Survey},
+ journal = {ACM Comput. Surv.},
+ issue_date = {July 2009},
+ volume = {41},
+ number = {3},
+ month = jul,
+ year = {2009},
+ issn = {0360-0300},
+ pages = {15:1--15:58},
+ articleno = {15},
+ numpages = {58},
+ url = {http://doi.acm.org/10.1145/1541880.1541882},
+ doi = {10.1145/1541880.1541882},
+ acmid = {1541882},
+ publisher = {ACM},
+ address = {New York, NY, USA},
+ keywords = {Anomaly detection, outlier detection},
+} 
+
+@article{tri,
+title = "Real-time anomaly detection systems for Denial-of-Service attacks by weighted k-nearest-neighbor classifiers",
+journal = "Expert Systems with Applications",
+volume = "38",
+number = "4",
+pages = "3492 - 3498",
+year = "2011",
+issn = "0957-4174",
+doi = "https://doi.org/10.1016/j.eswa.2010.08.137",
+url = "http://www.sciencedirect.com/science/article/pii/S0957417410009450",
+author = "Ming-Yang Su",
+keywords = "KNN (k-nearest-neighbor) classification, Genetic algorithm, NIDS (network intrusion detection system), Network security, DoS attacks, Feature selection, Feature weighting"
+}
+
+@inproceedings{cetiri,
+ author = {Sakurada, Mayu and Yairi, Takehisa},
+ title = {Anomaly Detection Using Autoencoders with Nonlinear Dimensionality Reduction},
+ booktitle = {Proceedings of the MLSDA 2014 2Nd Workshop on Machine Learning for Sensory Data Analysis},
+ series = {MLSDA'14},
+ year = {2014},
+ isbn = {978-1-4503-3159-3},
+ location = {Gold Coast, Australia QLD, Australia},
+ pages = {4:4--4:11},
+ articleno = {4},
+ numpages = {8},
+ url = {http://doi.acm.org/10.1145/2689746.2689747},
+ doi = {10.1145/2689746.2689747},
+ acmid = {2689747},
+ publisher = {ACM},
+ address = {New York, NY, USA},
+ keywords = {anomaly detection, auto-assosiative neural network, autoencoder, denoising autoencoder, dimensionality reduction, fault detection, nonlinear, novelty detection, spacecrafts},
+} 
+
+@article{pet,
+ author = {Rajasegarar, Sutharshan and Leckie, Christopher and Bezdek, James C. and Palaniswami, Marimuthu},
+ title = {Centered Hyperspherical and Hyperellipsoidal One-class Support Vector Machines for Anomaly Detection in Sensor Networks},
+ journal = {Trans. Info. For. Sec.},
+ issue_date = {September 2010},
+ volume = {5},
+ number = {3},
+ month = sep,
+ year = {2010},
+ issn = {1556-6013},
+ pages = {518--533},
+ numpages = {16},
+ url = {http://dx.doi.org/10.1109/TIFS.2010.2051543},
+ doi = {10.1109/TIFS.2010.2051543},
+ acmid = {1861998},
+ publisher = {IEEE Press},
+ address = {Piscataway, NJ, USA},
+ keywords = {Anomaly detection, anomaly detection, distributed computing, information security, machine learning, outlier detection, security, support vector machines (SVMs), wireless sensor networks},
+} 
+
+@MISC{sest,
+  title   = "Ideas on Anomaly Detection for Data Quality Monitoring.",
+  URL = {http://bit.ly/2GtohJ7},
+  year    = "2016",
+  author  = "J. Catmore"
+}
+
+@article{sedam,
+ ISSN = {10170405, 19968507},
+ URL = {http://www.jstor.org/stable/24310185},
+ author = {Nancy R. Zhang and David O. Siegmund},
+ journal = {Statistica Sinica},
+ number = {4},
+ pages = {1507-1538},
+ publisher = {Institute of Statistical Science, Academia Sinica},
+ title = {MODEL SELECTION FOR HIGH-DIMENSIONAL, MULTI-SEQUENCE CHANGE-POINT PROBLEMS},
+ volume = {22},
+ year = {2012}
+}
+
+
+@article{osam,
+title = "Stochastic gradient boosting",
+journal = "Computational Statistics \& Data Analysis",
+volume = "38",
+number = "4",
+pages = "367 - 378",
+year = "2002",
+note = "Nonlinear Methods and Data Mining",
+issn = "0167-9473",
+doi = "https://doi.org/10.1016/S0167-9473(01)00065-2",
+url = "http://www.sciencedirect.com/science/article/pii/S0167947301000652",
+author = "Jerome H. Friedman"
+}
+
+@Article{devet,
+author="Coppersmith, Don
+and Hong, Se June
+and Hosking, Jonathan R.M.",
+title="Partitioning Nominal Attributes in Decision Trees",
+journal="Data Mining and Knowledge Discovery",
+year="1999",
+month="Jun",
+day="01",
+volume="3",
+number="2",
+pages="197--217",
+issn="1573-756X",
+doi="10.1023/A:1009869804967",
+url="https://doi.org/10.1023/A:1009869804967"
+}
+
+@article{deset,
+title = "A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting",
+journal = "Journal of Computer and System Sciences",
+volume = "55",
+number = "1",
+pages = "119 - 139",
+year = "1997",
+issn = "0022-0000",
+doi = "https://doi.org/10.1006/jcss.1997.1504",
+url = "http://www.sciencedirect.com/science/article/pii/S002200009791504X",
+author = "Yoav Freund and Robert E Schapire"
+}
+
+@ARTICLE{jedanaest,
+   author = {{Kingma}, D.~P. and {Ba}, J.},
+    title = "{Adam: A Method for Stochastic Optimization}",
+  journal = {ArXiv e-prints},
+archivePrefix = "arXiv",
+   eprint = {1412.6980},
+ primaryClass = "cs.LG",
+ keywords = {Computer Science - Learning},
+     year = 2014,
+    month = dec,
+   adsurl = {http://adsabs.harvard.edu/abs/2014arXiv1412.6980K},
+  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
+}
+