-
4
-
-
0040121972
-
Statistical inference regarding Markov chain models
-
C. Chatfield. Statistical inference regarding Markov chain models. Appl. Statist, 22:7-20, 1973.
-
(1973)
Appl. Statist
, vol.22
, pp. 7-20
-
-
Chatfield, C.1
-
6
-
-
0032108294
-
Discovering models of software processes from event-based data
-
J. Cook and A. Wolf. Discovering models of software processes from event-based data. ACM Trans. Software Eng. and Methodology, 7(3):215-249, 1998.
-
(1998)
ACM Trans. Software Eng. and Methodology
, vol.7
, Issue.3
, pp. 215-249
-
-
Cook, J.1
Wolf, A.2
-
8
-
-
0030243475
-
The optimal error exponent for Markov order estimation
-
L. Finesso, C.-C. Liu, and P. Narayan. The optimal error exponent for Markov order estimation. IEEE Trans. on Information Theory, 42(5):1488-1497, 1996.
-
(1996)
IEEE Trans. on Information Theory
, vol.42
, Issue.5
, pp. 1488-1497
-
-
Finesso, L.1
Liu, C.-C.2
Narayan, P.3
-
9
-
-
33947152078
-
Mining workflow patterns through event-data analysis
-
W. Gaaloul, S. Alaoui, K. Baïna, and C. Godart. Mining workflow patterns through event-data analysis. In Proc. SAINT Workshops, pages 226-229, 2005.
-
(2005)
Proc. SAINT Workshops
, pp. 226-229
-
-
Gaaloul, W.1
Alaoui, S.2
Baïna, K.3
Godart, C.4
-
10
-
-
35048871942
-
Discovering workflow transactional behavior from event-based log
-
W. Gaaloul, S. Bhiri, and C. Godart. Discovering workflow transactional behavior from event-based log. In Proc 12th Int'l Conf. CoopIS, pages 3-18, 2004.
-
(2004)
Proc 12th Int'l Conf. CoopIS
, pp. 3-18
-
-
Gaaloul, W.1
Bhiri, S.2
Godart, C.3
-
12
-
-
3242806004
-
Lessons and challenges from mining retail e-commerce data
-
R. Kohavi, L. Mason, and Z. Zheng. Lessons and challenges from mining retail e-commerce data. Machine Learning, 57:83-113, 2004.
-
(2004)
Machine Learning
, vol.57
, pp. 83-113
-
-
Kohavi, R.1
Mason, L.2
Zheng, Z.3
-
13
-
-
0346984143
-
Decomposition of event sequences into independent components
-
H. Mannila and D. Rusakov. Decomposition of event sequences into independent components. In Proc. 1st SIAM Conf. Data Mining, pages 1-17, 2001.
-
(2001)
Proc. 1st SIAM Conf. Data Mining
, pp. 1-17
-
-
Mannila, H.1
Rusakov, D.2
-
14
-
-
27144468394
-
Discovery of frequent episodes in event sequences
-
H. Mannila, H. Toivonen, and A. Verkamo. Discovery of frequent episodes in event sequences. Data Mining and Knowledge Discovery, 1(3):259-289, 1997.
-
(1997)
Data Mining and Knowledge Discovery
, vol.1
, Issue.3
, pp. 259-289
-
-
Mannila, H.1
Toivonen, H.2
Verkamo, A.3
-
15
-
-
65449135001
-
Web mining: Pattern discovery from world wide web transactions
-
B. Mobasher, N. Jain, E. Han, and J. Srivastava. Web mining: Pattern discovery from world wide web transactions. In TR 96-050, Univ. of Minnesota, Dept of Computer Science, 1996.
-
(1996)
TR 96-050, Univ. of Minnesota, Dept of Computer Science
-
-
Mobasher, B.1
Jain, N.2
Han, E.3
Srivastava, J.4
-
16
-
-
0035016443
-
PrefixSpan: Mining sequential patterns efficiently by prefix-projected pattern growth
-
J. Pei, J. Han, B. Mortazavi-Asl, H. Pinto, Q. Chen, U. Dayal, and M.-C. Hsu. PrefixSpan: Mining sequential patterns efficiently by prefix-projected pattern growth. In Int. Conf. Data Engineering, 2001.
-
(2001)
Int. Conf. Data Engineering
-
-
Pei, J.1
Han, J.2
Mortazavi-Asl, B.3
Pinto, H.4
Chen, Q.5
Dayal, U.6
Hsu, M.-C.7
-
17
-
-
33749996462
-
Decision mining in ProM
-
A. Rozinat and W. van der Aalst. Decision mining in ProM. In LNCS, pages 420-425, 2006.
-
(2006)
LNCS
, pp. 420-425
-
-
Rozinat, A.1
van der Aalst, W.2
-
18
-
-
70849107247
-
Easy ticket: A ticket routing recommendation engine for enterprise problem resolution
-
Q. Shao, Y. Chen, S. Tao, X. Yan, and N. Anerousis. Easy ticket: A ticket routing recommendation engine for enterprise problem resolution. 34th Int'l Conf. VLDB, 2008.
-
(2008)
34th Int'l Conf. VLDB
-
-
Shao, Q.1
Chen, Y.2
Tao, S.3
Yan, X.4
Anerousis, N.5
-
20
-
-
0002000090
-
Web usage mining: Discovery and applications of usage patterns from web data
-
J. Srivastava, R. Cooley, M. Deshpande, and P. Tan. Web usage mining: Discovery and applications of usage patterns from web data. SIGKDD Explorations, l(3):12-23, 2001.
-
(2001)
SIGKDD Explorations
, vol.50
, Issue.3
, pp. 12-23
-
-
Srivastava, J.1
Cooley, R.2
Deshpande, M.3
Tan, P.4
-
22
-
-
0034826102
-
SPADE: An efficient algorithm for mining frequent sequences
-
M. Zaki. SPADE: An efficient algorithm for mining frequent sequences. Machine Learning, 40:31-60, 2001.
-
(2001)
Machine Learning
, vol.40
, pp. 31-60
-
-
Zaki, M.1
|