-
5
-
-
33748467598
-
A model-based frequency constraint for mining associations from transaction data
-
DOI 10.1007/s10618-005-0026-2
-
Michael Hahsler. A model-based frequency constraint for mining associations from transaction data. Data Mining and Knowledge Discovery, 13(2):137-166, September 2006. (Pubitemid 44352880)
-
(2006)
Data Mining and Knowledge Discovery
, vol.13
, Issue.2
, pp. 137-166
-
-
Hahsler, M.1
-
8
-
-
41549140071
-
New probabilistic interest measures for association rules
-
Michael Hahsler and K. Hornik. New probabilistic interest measures for association rules. Intelligent Data Analysis, 11(5):437-455, 2007a.
-
(2007)
Intelligent Data Analysis
, vol.11
, Issue.5
, pp. 437-455
-
-
Hahsler, M.1
Hornik, K.2
-
9
-
-
84879593107
-
Building on the arules infrastructure for analyzing transaction data with R
-
R. Decker and H.-J. Lenz, editors, March 8-10 2006, Studies in Classification, Data Analysis, and Knowledge Organization, Springer-Verlag
-
Michael Hahsler and K. Hornik. Building on the arules infrastructure for analyzing transaction data with R. In R. Decker and H.-J. Lenz, editors, Advances in Data Analysis, Proceedings of the 30th Annual Conference of the Gesellschaft für Klassifikation e.V., Freie Universität Berlin, March 8-10, 2006, Studies in Classification, Data Analysis, and Knowledge Organization, pages 449-456. Springer-Verlag, 2007b.
-
(2007)
Advances in Data Analysis, Proceedings of the 30th Annual Conference of the Gesellschaft für Klassifikation E.V., Freie Universität Berlin
, pp. 449-456
-
-
Hahsler, M.1
Hornik, K.2
-
10
-
-
27544480125
-
Arules - A computational environment for mining association rules and frequent item sets
-
October
-
Michael Hahsler, Bettina Grün, and K. Hornik. arules - A computational environment for mining association rules and frequent item sets. Journal of Statistical Software, 14(15):1-25, October 2005.
-
(2005)
Journal of Statistical Software
, vol.14
, Issue.15
, pp. 1-25
-
-
Hahsler, M.1
Grün, B.2
Hornik, K.3
-
11
-
-
41849127968
-
Selective association rule generation
-
April
-
Michael Hahsler, Christian Buchta, and K. Hornik. Selective association rule generation. Computational Statistics, 23(2):303-315, April 2008.
-
(2008)
Computational Statistics
, vol.23
, Issue.2
, pp. 303-315
-
-
Hahsler, M.1
Buchta, C.2
Hornik, K.3
-
15
-
-
79960121054
-
-
R package version 1.2.
-
Graham Williams, Michael Hahsler, Hemant Ishwaran, Udaya B. Kogalur, and Rajarshi Guha. pmml: Generate PMML for various models, 2010. URL http://CRAN.R-project.org/package=pmml. R package version 1.2.22.
-
(2010)
Pmml: Generate PMML for Various Models
, vol.22
-
-
Williams, G.1
Hahsler, M.2
Ishwaran, H.3
Kogalur, U.B.4
Guha, R.5
-
16
-
-
0034826102
-
SPADE: An efficient algorithm for mining frequent sequences
-
DOI 10.1023/A:1007652502315
-
Mohammed J. Zaki. SPADE: an efficient algorithm for mining frequent sequences. Machine Learning, 42:31-60, January-February 2001. (Pubitemid 32872398)
-
(2001)
Machine Learning
, vol.42
, Issue.1-2
, pp. 31-60
-
-
Zaki, M.J.1
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