-
1
-
-
67650425418
-
-
M.E. Califf, R.J. Mooney, Relational learning of pattern-match rules for information extraction, in: Proceedings of the 19th National Conference on Artificial Intelligence, 21 (1), 2006, pp. 87-90.
-
M.E. Califf, R.J. Mooney, Relational learning of pattern-match rules for information extraction, in: Proceedings of the 19th National Conference on Artificial Intelligence, vol. 21 (1), 2006, pp. 87-90.
-
-
-
-
2
-
-
26644433856
-
Class-based n-gram models of natural language
-
Brown P., and Della V. Class-based n-gram models of natural language. Computational Linguistics 32 4 (2006) 477-480
-
(2006)
Computational Linguistics
, vol.32
, Issue.4
, pp. 477-480
-
-
Brown, P.1
Della, V.2
-
3
-
-
65349084556
-
Natural language analysis for semantic document modeling
-
Terje B., and Jon A. Natural language analysis for semantic document modeling. Data and Knowledge Engineering 44 1 (2007) 45-62
-
(2007)
Data and Knowledge Engineering
, vol.44
, Issue.1
, pp. 45-62
-
-
Terje, B.1
Jon, A.2
-
5
-
-
39049138232
-
Abstraction and pattern classification
-
Bellman R., and Kalaba L.A. Abstraction and pattern classification. JMAA 54 1 (2007) 1-7
-
(2007)
JMAA
, vol.54
, Issue.1
, pp. 1-7
-
-
Bellman, R.1
Kalaba, L.A.2
-
6
-
-
0031343557
-
Statistical techniques for natural language parsing
-
Charniak E. Statistical techniques for natural language parsing. AI Magazine 28 4 (2007) 33-43
-
(2007)
AI Magazine
, vol.28
, Issue.4
, pp. 33-43
-
-
Charniak, E.1
-
9
-
-
32844475037
-
Cluster kernels for semi-supervised learning
-
A. Blum, J. Lafferty, R. Reddy, Cluster kernels for semi-supervised learning, in: Proceedings of the 24th International Conference on Machine Learning, 2007, pp. 92-100.
-
(2007)
Proceedings of the 24th International Conference on Machine Learning
, pp. 92-100
-
-
Blum, A.1
Lafferty, J.2
Reddy, R.3
-
11
-
-
0034298140
-
Generalized fuzzy C-means clustering strategies using L p-norm distances
-
Hathaway R.J., Bezdek J., and Hu Y. Generalized fuzzy C-means clustering strategies using L p-norm distances. IEEE Transaction on Fuzzy Systems 14 5 (2006) 576-582
-
(2006)
IEEE Transaction on Fuzzy Systems
, vol.14
, Issue.5
, pp. 576-582
-
-
Hathaway, R.J.1
Bezdek, J.2
Hu, Y.3
-
13
-
-
32844460668
-
Data clustering with partial supervision
-
Springer-Verlag, Berlin, Heidelberg, New York
-
Abdelhamid B., and Witold P. Data clustering with partial supervision. Data Mining and Knowledge Discovery, Lecture Notes in Computer Science vol. 12 (2006), Springer-Verlag, Berlin, Heidelberg, New York
-
(2006)
Data Mining and Knowledge Discovery, Lecture Notes in Computer Science
, vol.12
-
-
Abdelhamid, B.1
Witold, P.2
-
14
-
-
67650425417
-
Automatic subspace clustering of high dimensional data
-
Springer-Verlag, Berlin, Heidelberg, New York
-
Rakesh A., Johannes G., and Dimitrios G. Automatic subspace clustering of high dimensional data. Data Mining and Knowledge Discovery, Lecture Notes in Computer Science vol. 13 (2007), Springer-Verlag, Berlin, Heidelberg, New York
-
(2007)
Data Mining and Knowledge Discovery, Lecture Notes in Computer Science
, vol.13
-
-
Rakesh, A.1
Johannes, G.2
Dimitrios, G.3
-
15
-
-
33745107289
-
A rule-based approach for process discovery, dealing with noise and imbalance in process logs
-
Springer-Verlag, Berlin, Heidelberg, New York
-
Laura A., and Weljters A.J. A rule-based approach for process discovery, dealing with noise and imbalance in process logs. Data Mining and Knowledge Discovery, Lecture Notes in Computer Science vol. 13 (2007), Springer-Verlag, Berlin, Heidelberg, New York
-
(2007)
Data Mining and Knowledge Discovery, Lecture Notes in Computer Science
, vol.13
-
-
Laura, A.1
Weljters, A.J.2
-
16
-
-
32144447557
-
Process Mining: Extending the α-Algorithm to Mine Short Loops
-
WP 113, Eindhoven University of Technology, Eindhoven
-
A. Medeiros, Process Mining: Extending the α-Algorithm to Mine Short Loops, BETA Working Paper Series, WP 113, Eindhoven University of Technology, Eindhoven, 2004.
-
(2004)
BETA Working Paper Series
-
-
Medeiros, A.1
-
17
-
-
67650425415
-
Data mining for inventory item selection with cross-selling considerations
-
Springer-Verlag, Berlin, Heidelberg, New York
-
Raymond C., and Wang K. Data mining for inventory item selection with cross-selling considerations. Data Mining and Knowledge Discovery, Lecture Notes in Computer Science vol. 13 (2007), Springer-Verlag, Berlin, Heidelberg, New York
-
(2007)
Data Mining and Knowledge Discovery, Lecture Notes in Computer Science
, vol.13
-
-
Raymond, C.1
Wang, K.2
-
18
-
-
33646589614
-
Mining multiple data sources: local pattern analysis
-
Springer-Verlag, Berlin, Heidelberg, New York
-
Zhang S.C., and Mnhammed J. Mining multiple data sources: local pattern analysis. Data Mining and Knowledge Discovery, Lecture Notes in Computer Science vol. 12 (2006), Springer-Verlag, Berlin, Heidelberg, New York
-
(2006)
Data Mining and Knowledge Discovery, Lecture Notes in Computer Science
, vol.12
-
-
Zhang, S.C.1
Mnhammed, J.2
-
19
-
-
67650425414
-
Mining adaptive ratio rules from distributed data sources
-
Springer-Verlag, Berlin, Heidelberg, New York
-
Yang J., Ning L., and Yang Q. Mining adaptive ratio rules from distributed data sources. Data Mining and Knowledge Discovery, Lecture Notes in Computer Science vol. 13 (2007), Springer-Verlag, Berlin, Heidelberg, New York
-
(2007)
Data Mining and Knowledge Discovery, Lecture Notes in Computer Science
, vol.13
-
-
Yang, J.1
Ning, L.2
Yang, Q.3
-
20
-
-
67650449093
-
On high dimensional projected clustering of data streams
-
Springer-Verlag, Berlin, Heidelberg, New York
-
Chang C.R., He J.W., and Wang J.Y. On high dimensional projected clustering of data streams. Data Mining and Knowledge Discovery, Lecture Notes in Computer Science vol. 12 (2006), Springer-Verlag, Berlin, Heidelberg, New York
-
(2006)
Data Mining and Knowledge Discovery, Lecture Notes in Computer Science
, vol.12
-
-
Chang, C.R.1
He, J.W.2
Wang, J.Y.3
-
21
-
-
27944443169
-
GenMax: an efficient algorithm for mining maximal frequent item sets
-
Springer-Verlag, Berlin, Heidelberg, New York
-
Karam G., and Mohammed J. GenMax: an efficient algorithm for mining maximal frequent item sets. Data Mining and Knowledge Discovery, Lecture Notes in Computer Science vol. 11 (2005), Springer-Verlag, Berlin, Heidelberg, New York
-
(2005)
Data Mining and Knowledge Discovery, Lecture Notes in Computer Science
, vol.11
-
-
Karam, G.1
Mohammed, J.2
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