% This file was created with JabRef 2.3.1.
% Encoding: Cp12
@Inproceedings{me07,
  title =	 "Just Enough Learning (of Association Rules): The
                  {TAR2} Treatment Learner",
  author =	 "T. Menzies and Y. Hu",
  booktitle =	 "Artificial Intelligence Review",
  note =	 "Available from
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  year =	 2007,
  class =	 "hJ"
}

@article{Yang09,
 author = {Yang, Ying and Webb, Geoffrey I.},
 title = {Discretization for naive-Bayes learning: managing discretization bias and variance},
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 year = {2009},
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 pages = {39--74},
 doi = {http://dx.doi.org/10.1007/s10994-008-5083-5},
 publisher = {Kluwer Academic Publishers},
 address = {Hingham, MA, USA},
 }


@inProceedings{quinlan82,
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  Editors =	 "R.S. Mihalski, J.G. Carbonell, T.M. Mitchell"
}


below
@article{ domingos97optimality,
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@article{zhang07,
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   month="September"
}
@article{me07e,
	author = "Tim Menzies and  Alex Dekhtyar and Justin Distefano and Jeremy Greenwald",
	title = "Problems with Precision",
	note = "\url{http://menzies.us/pdf/07precision.pdf}",
	journal = "IEEE Transactions on Software Engineering",
   month="September", 
year=2007,
	class="hJ"
}



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@ARTICLE{Bra99,
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  booktitle = {First IEEE International Conference on Cognitive Informatics},
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  address = {Calgary, Alta., Canada},
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  number = {131}
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  pages = {7--9},
  month = {July},
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@MISC{Del2004,
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	Systems},
  year = {2004}
}

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  year = {2007}
}

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@MISC{Gre2004,
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  month = {June 18, 2004},
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@MISC{Ish2004,
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@MISC{Kuo2004,
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  title = {Data Mining and Statistics: What Is the Connection?},
  year = {2004},
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@INCOLLECTION{Lua2002,
  author = {Luan, J. and Serban, A. M.},
  title = {Data Mining and Its Application in Higher Education},
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	Education: New Directions for Institutional Research},
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  year = {2002}
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@INPROCEEDINGS{Ma2000,
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  year = {2000},
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  address = {Boston, Massachusetts},
  publisher = {ACM Press New York, NY, USA}
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@INPROCEEDINGS{Mas99,
  author = {Massa, S. and Puliafito, P.P.},
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  year = {1999},
  pages = {51-60},
  address = {Prague, Czech Republic}
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@MISC{Men2006,
  author = {Menzies, T.},
  title = {Data Mining Class},
  year = {2006},
  note = {\url{http://menzies.us/cs591o}},
  number = {August 09, 2007},
  volume = {2007}
}

@MISC{Men2007,
  author = {Menzies, T. and Mizuno, O. and Takagi, Y. and Kikuno, T.},
  title = {Explanation vs Performance in Data Mining: A Case Study with Predicting
	Runaway Projects},
  year = {2007},
  note = {\url{http://menzies.us/pdf/07runaway.pdf}}
}

@INPROCEEDINGS{Min2003,
  author = {Minaei-Bidgoli, B. and Kashy, D.A. and Kortmeyer, G. and Punch, W.F.
	},
  title = {Predicting student performance: an application of data mining methods
	with an educational Web-based system},
  booktitle = {33rd Annual Frontiers in Education},
  year = {2003},
  pages = {T2A-13-18 Vol.1},
  address = {Westminster, CO, USA},
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@ARTICLE{Mur99,
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@MASTERSTHESIS{Nan2006,
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  title = {Models for Calculating Confidence Intervals for Neural Networks},
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  year = {2006}
}
@CONFERENCE{Nan2007,
	AUTHOR       = "Nandeshwar, A. and Chaudhari, S.",
	TITLE        = "Student Enrollment Prediction Model Using Admissions Data: A Data Mining Approach",
	YEAR         = "2007",
	ORGANIZATION = "SAS M2007",
	ADDRESS      = "Las Vegas, NV",
	MONTH        = "October",
 	note = {\url{http://stat.wvu.edu/~anandesh/CS591o/Project4/}}
}

@INPROCEEDINGS{Nap2001,
  author = {Naplava, P. and Snorek, N.},
  title = {Modeling of student's quality by means of {GMDH} algorithms},
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	2001. ESM'2001},
  year = {2001},
  pages = {696-700},
  address = {Prague, Czech Republic}
}

@MISC{NCP2007,
  author = {NCPPHE},
  title = {Retention Rates - First-Time College Freshmen Returning Their Second
	Year ({ACT})},
  year = {2007},
  number = {August 07, 2007},
  publisher = {National Center for Public Policy and Higher Education},
  volume = {2007}
}

@BOOK{Net89,
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@article{ngai2008adm,
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  year={2008},
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@ARTICLE{Ng2000,
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  title = {Customer Retention via Data Mining},
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  volume = {14},
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@ARTICLE{Ogo2007,
  author = {Ogor, E.N.},
  title = {Student Academic Performance Monitoring and Evaluation Using Data
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  year = {2007},
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@INPROCEEDINGS{Par2006,
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	C.L.},
  title = {Using Fine Grained Skill Models to Fit Student Performance with Bayesian
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  booktitle = {8th International Conference on Intelligent Tutoring Systems (ITS
	2006)},
  year = {2006},
  pages = {5-12},
  address = {Jhongli, Taiwan}
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@ARTICLE{Pas80,
  author = {Pascarella, E. T. and Terenzini, P. T.},
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@ARTICLE{Pas79,
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@INPROCEEDINGS{Pim2005,
  author = {Pimentel, E. P. and Omar, N. },
  title = {Towards a model for organizing and measuring knowledge upgrade in
	education with data mining},
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	IRI - 2005},
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  pages = {56-60},
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}

@BOOK{Pri77,
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@PHDTHESIS{Jrp2007,
  author = {PURDIE, J. R., II},
  title = {EXAMINING THE ACADEMIC PERFORMANCE AND RETENTION OF FIRST-YEAR STUDENTS
	IN LIVING-LEARNING COMMUNITIES, FRESHMEN INTEREST GROUPS AND FIRST
	YEAR EXPERIENCE COURSES},
  school = {University of Missouri},
  year = {2007}
}

@ARTICLE{Qui96,
  author = {Quinlan, J. R.},
  title = {Improved Use of Continuous Attributes in {C4. 5}},
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@ARTICLE{Qui86,
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@ARTICLE{Rea2003,
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  number = {4}
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@ARTICLE{Roe2005,
  author = {Roe, B. P. and Yang, H. J. and Zhu, J. and Liu, Y. and Stancu, I.
	and McGregor, G.},
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}

@ARTICLE{Rus2004,
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	discovery and data mining},
  year = {2004},
  pages = {671--677},
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}

@ARTICLE{Sal2004,
  author = {Salazar, A. and Gosalbez, J. and Bosch, I. and Miralles, R. and Vergara,
	L.},
  title = {A case study of knowledge discovery on academic achievement, student
	desertion and student retention},
  journal = {Information Technology: Research and Education, 2004. ITRE 2004.
	2nd International Conference on},
  year = {2004},
  pages = {150--154}
}

@INPROCEEDINGS{San95,
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@INPROCEEDINGS{Sca2000,
  author = {Scalise, A. and Besterfield-Sacre, M. and Shuman, L. and Wolfe, H.
	},
  title = {First term probation: models for identifying high risk students},
  booktitle = {30th Annual Frontiers in Education Conference},
  year = {2000},
  pages = {F1F/11-16 vol.1},
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  publisher = {Stripes Publishing}
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@PHDTHESIS{Sch2005,
  author = {Schumann, Jeffrey A.},
  title = {Data mining methodologies in educational organizations},
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@ARTICLE{Smi2000,
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	data mining: a case study},
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@MISC{Sni2004,
  author = {Snider, K.G. and Boston, M.},
  title = {{Longitudinal Effects of College Preparation Programs on College
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  howpublished = {{Paper presented at the Annual Forum of the Association for Institutional
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  timestamp = {2008.03.07}
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@ARTICLE{Spa70,
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@MISC{Ste2001,
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	Ridge Community College},
  year = {2001},
  publisher = {N/A}
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@ARTICLE{Suj2006,
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@INPROCEEDINGS{Sup2006,
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@ARTICLE{Ter80,
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@MISC{Till,
  author = {Tillman, C. and Burns, P.},
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@ARTICLE{Tin88,
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@ARTICLE{Tin82,
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@PHDTHESIS{Ukp2004,
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@MISC{Vei2004,
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  year = {2004}
}

@MISC{Wau94,
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@BOOK{Wit2005,
  title = {Data Mining: Practical Machine Learning Tools and Techniques},
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  edition = {2}
}
@article{Yang2001,
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  year={2001},
  publisher={Springer}
}
@article{Yang2003,
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@ARTICLE{Yor2005,
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@ARTICLE{Yu2007,
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}

@MISC{YuD2007,
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	Lo, Wenjuo and Kaprolet, Charles},
  title = {A Data-Mining Approach to Differentiate Predictors of Retention Between
	Online and Traditional Students},
  year = {2007}
}

@ARTICLE{Zha2006,
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  pages = {7-16},
  number = {131}
}
@inproceedings{Lau2007,
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 year = {2007},
 isbn = {0-7695-3015-X},
 pages = {350--357},
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 publisher = {IEEE Computer Society},
 address = {Washington, DC, USA},
 }
@article{Weiss2004,
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  pages={7--19},
  year={2004},
  publisher={ACM New York, NY, USA}
}
@conference{Kubat1997,
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  pages={179--186},
  year={1997},
  organization={MORGAN KAUFMANN PUBLISHERS, INC.}
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@PHDTHESIS{Pittman2008,
	AUTHOR       = "Kathleen Pittman",
	TITLE        = "Comparison of data mining techniques used to predict student retention",
	SCHOOL       = "Nova Southeastern University",
	YEAR         = "2008"
}

@INPROCEEDINGS{Hall00correlation-basedfeature,
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  booktitle={Proceedings of the Seventeenth International Conference on Machine Learning (ICML-2000): June 29-July 2, 2000, Stanford University},
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  organization={Morgan Kaufmann}
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@Book{Mitchell97,
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@BOOK{Moore06,
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@article{holte93,

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@TECHREPORT{Heckerman96atutorial,
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@conference{rbfnIntroBors,
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@INPROCEEDINGS{Freund99thealternating,
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@Book{quinlanID3,
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@INPROCEEDINGS{Hall00correlation-basedfeature,
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    title = {Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning},
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    year = {2000},
    pages = {359--366},
    publisher = {Morgan Kaufmann}
}

@Book{Mitchell97,
  author = {Tom M. Mitchell},
  title = {Machine Learning},
  publisher = {McGraw-Hill},
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  keywords = {machine learning},
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@BOOK{Moore06,
    author = "David Moore, William Notz",
    title = "Statistics: concepts and controversies",
    pages = "492",
    year = "2006"
}

@article{holte93,
  author =       "R.C. Holte",
  title =        "Very Simple Classification Rules Perform Well on
                  Most Commonly Used Datasets",
  journal =      "Machine Learning",
  volume =       "11",
  pages =        "63",
  year =         "1993"
}

@INPROCEEDINGS{Heckerman96atutorial,
    author = {David Heckerman},
    title = {A Tutorial on Learning With Bayesian Networks},
    institution = {Learning in Graphical Models},
    year = {1996}
}

@BOOK{rbfnIntroBors,
    author = {Adrian Bors},
    title = {Introduction of the {Radial Basis Function (RBF)} Networks},
    pages = {1}
}

@INPROCEEDINGS{Freund99thealternating,
    author = {Yoav Freund and Llew Mason},
    title = {The Alternating Decision Tree Learning Algorithm},
    booktitle = {In Machine Learning: Proceedings of the Sixteenth International Conference},
    year = {1999},
    pages = {124--133},
    publisher = {Morgan Kaufmann}
}







@inproceedings{NB-performance, 
     author = {Rish, Irina}, 
     booktitle = {IJCAI-01 workshop on "Empirical Methods in AI"}, 
     keywords = {bayesian, naive-bayes},
     posted-at = {2005-10-17 10:23:25}, 
     priority = {2}, title = {An empirical study of the naive Bayes classifier}, 
     note= {\url{http://www.intellektik.informatik.tu-darmstadt.de/~tom/IJCAI01/Rish.pdf} }
}

@article{menzies2007problems,
  title={{Problems with Precision: A Response to}},
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  pages={637--640},
  year={2007},
  publisher={Published by the IEEE Computer Society}
}

@article{zhang2007comments,
  title={{Comments on" Data Mining Static Code Attributes to Learn Defect Predictors"}},
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  journal={IEEE Transactions on Software Engineering},
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  number={9},
  pages={635},
  year={2007},
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}
@article{ehrenberg2005tenured,
  title={{Do Tenured and Tenure-Track Faculty Matter?}},
  author={Ehrenberg, R.G. and Zhang, L.},
  journal={Journal of Human Resources},
  volume={40},
  number={3},
  pages={647},
  year={2005}
}
@article{jacoby2006effects,
  title={{Effects of part-time faculty employment on community college graduation rates}},
  author={Jacoby, D.},
  journal={Journal of Higher Education},
  volume={77},
  number={6},
  pages={1081--1103},
  year={2006},
  publisher={Ohio State University Press}
}

@MISC{ipeds,
	AUTHOR       = {{Department~of~Education}},
	year = {2010},
	TITLE        = {{Integrated Postsecondary Education Data System (IPEDS)}},	
	note = {\url{http://nces.ed.gov/ipeds/datacenter/}},
	publisher={{National Center for Education Statistics}}

}

