-
1
-
-
23044534550
-
Not all school dropouts are the same: Ethnic differences in the relation between reason for leaving school and adolescent substance use
-
10.1002/pits.10054
-
Aloise-Young PA, Chavez EL (2002) Not all school dropouts are the same: Ethnic differences in the relation between reason for leaving school and adolescent substance use. Psychol Sch 39(5):539-547
-
(2002)
Psychol Sch
, vol.39
, Issue.5
, pp. 539-547
-
-
Aloise-Young, P.A.1
Chavez, E.L.2
-
2
-
-
67650260875
-
Factors influencing university drop out rates
-
10.1016/j.compedu.2009.03.013
-
Araque F, Roldan C, Salguero A (2009) Factors influencing university drop out rates. Comput Educ 53:563-574
-
(2009)
Comput Educ
, vol.53
, pp. 563-574
-
-
Araque, F.1
Roldan, C.2
Salguero, A.3
-
5
-
-
0024103809
-
Prism: An algorithm for inducing modular rules
-
0638.68110 10.1016/S0020-7373(87)80003-2
-
Cendrowska J (1987) Prism: an algorithm for inducing modular rules. Int J Man-Mach Stud 27(4):349-370
-
(1987)
Int J Man-Mach Stud
, vol.27
, Issue.4
, pp. 349-370
-
-
Cendrowska, J.1
-
8
-
-
84862152671
-
Improving classification performance of support vector machine by genetically optimising kernel shape and hyper-parameters
-
10.1007/s10489-010-0260-1
-
Diosan L, Rogozan A, Pecuchet J (2012) Improving classification performance of support vector machine by genetically optimising kernel shape and hyper-parameters. Appl Intell 36:280-294
-
(2012)
Appl Intell
, vol.36
, pp. 280-294
-
-
Diosan, L.1
Rogozan, A.2
Pecuchet, J.3
-
10
-
-
34047173470
-
Typology of students at risk of dropping out of school: Description by personal, family and school factors
-
10.1007/BF03173508
-
Fourtin L, Marcotte D, Potvin P, Roger E, Joly J (2006) Typology of students at risk of dropping out of school: description by personal, family and school factors. Eur J Psychol Educ 21(4):363-383
-
(2006)
Eur J Psychol Educ
, vol.21
, Issue.4
, pp. 363-383
-
-
Fourtin, L.1
Marcotte, D.2
Potvin, P.3
Roger, E.4
Joly, J.5
-
13
-
-
33645584933
-
-
Tech. rep, University of Waikato, Department of Computer Science, Hamilton, New Zealand
-
Hall MA, Holmes G (2002) Benchmarking attribute selection techniques for data mining. Tech. rep, University of Waikato, Department of Computer Science, Hamilton, New Zealand
-
(2002)
Benchmarking Attribute Selection Techniques for Data Mining
-
-
Hall, M.A.1
Holmes, G.2
-
16
-
-
0027580356
-
Very simple classification rules perform well on most commonly used datasets
-
0850.68278 10.1023/A:1022631118932
-
Holte RC (1993) Very simple classification rules perform well on most commonly used datasets. Mach Learn 11:63-91
-
(1993)
Mach Learn
, vol.11
, pp. 63-91
-
-
Holte, R.C.1
-
19
-
-
84857478947
-
Educational data mining: A case study for predicting dropout-prone students
-
10.1504/IJKESDP.2009.022718
-
Kotsiantis S (2009) Educational data mining: a case study for predicting dropout-prone students. Int J Knowl Eng Soft Data Paradig 1(2):101-111
-
(2009)
Int J Knowl Eng Soft Data Paradig
, vol.1
, Issue.2
, pp. 101-111
-
-
Kotsiantis, S.1
-
20
-
-
77954923145
-
A combinational incremental ensemble of classifiers as a technique for predicting students performance in distance education
-
10.1016/j.knosys.2010.03.010
-
Kotsiantis S, Patriarcheas K, Xenos M (2010) A combinational incremental ensemble of classifiers as a technique for predicting students performance in distance education. Knowl-Based Syst 23(6):529-535
-
(2010)
Knowl-Based Syst
, vol.23
, Issue.6
, pp. 529-535
-
-
Kotsiantis, S.1
Patriarcheas, K.2
Xenos, M.3
-
22
-
-
67650236153
-
Dropout prediction in e-learning courses through the combination of machine learning techniques
-
10.1016/j.compedu.2009.05.010
-
Lykourentzou I, Giannoukos I, Nikolopoulos V, Mpardis G, Loumos V (2009) Dropout prediction in e-learning courses through the combination of machine learning techniques. Comput Educ 53:950-965
-
(2009)
Comput Educ
, vol.53
, pp. 950-965
-
-
Lykourentzou, I.1
Giannoukos, I.2
Nikolopoulos, V.3
Mpardis, G.4
Loumos, V.5
-
24
-
-
77958152987
-
Predicting student outcomes using discriminant function analysis
-
Martínez D (2001) Predicting student outcomes using discriminant function analysis. In: Annual meeting of the research and planning group, pp 163-173
-
(2001)
Annual Meeting of the Research and Planning Group
, pp. 163-173
-
-
Martínez, D.1
-
25
-
-
77958152552
-
Predicting student success
-
McDonald B (2004) Predicting student success. J Math Teach Learn 1:1-14
-
(2004)
J Math Teach Learn
, vol.1
, pp. 1-14
-
-
McDonald, B.1
-
26
-
-
39749145052
-
Factors associated with persistence in science and engineering majors: An exploratory study using classification trees and random forests
-
Mendez G, Buskirk TD, Lohr S, Haag S (2008) Factors associated with persistence in science and engineering majors: an exploratory study using classification trees and random forests. J Eng Educ 97:57-70
-
(2008)
J Eng Educ
, vol.97
, pp. 57-70
-
-
Mendez, G.1
Buskirk, T.D.2
Lohr, S.3
Haag, S.4
-
27
-
-
41949129128
-
Predicting who will drop out of nursing courses: A machine learning exercise
-
10.1016/j.nedt.2007.07.012
-
Moseley LG, Mead DM (2008) Predicting who will drop out of nursing courses: a machine learning exercise. Nurse Educ Today 28:469-475
-
(2008)
Nurse Educ Today
, vol.28
, pp. 469-475
-
-
Moseley, L.G.1
Mead, D.M.2
-
28
-
-
84862117598
-
The use of genetic programming for the construction of a financial management model in an enterprise
-
10.1007/s10489-010-0259-7
-
Pan W (2012) The use of genetic programming for the construction of a financial management model in an enterprise. Appl Intell 36:271-279
-
(2012)
Appl Intell
, vol.36
, pp. 271-279
-
-
Pan, W.1
-
29
-
-
3843142878
-
A study of variables that predict dropout from distance education
-
Parker A (1999) A study of variables that predict dropout from distance education. Int J Educ Technol 1(2):1-11
-
(1999)
Int J Educ Technol
, vol.1
, Issue.2
, pp. 1-11
-
-
Parker, A.1
-
30
-
-
84876176113
-
Drop out feature of student data for academic performance using decision tree techniques
-
Quadril MN, Kalyankar NV (2010) Drop out feature of student data for academic performance using decision tree techniques. J Comput Sci Technol 10:2-5
-
(2010)
J Comput Sci Technol
, vol.10
, pp. 2-5
-
-
Quadril, M.N.1
Kalyankar, N.V.2
-
32
-
-
68349148286
-
Two decades of RDR research
-
10.1017/S0269888909000241
-
Richards D (2009) Two decades of RDR research. Knowl Eng Rev 24(2):159-184
-
(2009)
Knowl Eng Rev
, vol.24
, Issue.2
, pp. 159-184
-
-
Richards, D.1
-
34
-
-
84876194312
-
Web usage mining for predicting final marks of MOODLE students
-
in press
-
Romero C, Espejo PG, Zafra A, Romero JR, Ventura S (2012, in press) Web usage mining for predicting final marks of MOODLE students. Comput Appl Eng Educ, 1-12
-
(2012)
Comput Appl Eng Educ
, pp. 1-12
-
-
Romero, C.1
Espejo, P.G.2
Zafra, A.3
Romero, J.R.4
Ventura, S.5
-
35
-
-
77958153220
-
Educational data mining: A review of the state of the art
-
Romero C, Ventura S (2010) Educational data mining: a review of the state of the art. IEEE Trans Syst Man Cybern 6:601-618
-
(2010)
IEEE Trans Syst Man Cybern
, vol.6
, pp. 601-618
-
-
Romero, C.1
Ventura, S.2
-
36
-
-
33748338418
-
-
Master's thesis, University of Canterbury, Christchurch, New Zealand
-
Roy S (2002) Nearest neighbor with generalization. Master's thesis, University of Canterbury, Christchurch, New Zealand
-
(2002)
Nearest Neighbor with Generalization
-
-
Roy, S.1
-
37
-
-
38449115187
-
Reducing high-dimensional data by principal component analysis vs random projection for nearest neighbor classification
-
Deegalla S, Bostrom H (2006) Reducing high-dimensional data by principal component analysis vs random projection for nearest neighbor classification. In: International conference on machine learning and applications, pp 245-250
-
(2006)
International Conference on Machine Learning and Applications
, pp. 245-250
-
-
Deegalla, S.1
Bostrom, H.2
-
38
-
-
61849186005
-
Determination of factors influencing the achievement of the first-year university students using data mining methods
-
Superby JF, Vandamme JP, Meskens N (2006) Determination of factors influencing the achievement of the first-year university students using data mining methods. In: Educational data mining workshop, pp 1-8
-
(2006)
Educational Data Mining Workshop
, pp. 1-8
-
-
Superby, J.F.1
Vandamme, J.P.2
Meskens, N.3
-
41
-
-
84951717416
-
Identifying characteristics of high school dropouts: Data mining with a decision tree model
-
Veitch W (2004) Identifying characteristics of high school dropouts: data mining with a decision tree model. In: Annual meeting of the American educational Research Association, pp 1-11
-
(2004)
Annual Meeting of the American Educational Research Association
, pp. 1-11
-
-
Veitch, W.1
-
42
-
-
0036497945
-
Predictors of web-based performance: The role of self-efficacy and reasons for taking an on-line class
-
10.1016/S0747-5632(01)00042-5
-
Wang AY, Newlin MH (2002) Predictors of web-based performance: the role of self-efficacy and reasons for taking an on-line class. Comput Hum Behav J 18:151-163
-
(2002)
Comput Hum Behav J
, vol.18
, pp. 151-163
-
-
Wang, A.Y.1
Newlin, M.H.2
-
43
-
-
43249084952
-
Leisure boredom and high school dropout in Cape Town, South Africa
-
10.1016/j.adolescence.2007.09.004
-
Wegner L, Flisher AJ, Chikobvu P, Lombard C, King G (2008) Leisure boredom and high school dropout in Cape Town, South Africa. J Adolesc 31:421-431
-
(2008)
J Adolesc
, vol.31
, pp. 421-431
-
-
Wegner, L.1
Flisher, A.J.2
Chikobvu, P.3
Lombard, C.4
King, G.5
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