-
2
-
-
0037282574
-
Extracting share frequent itemsets with infrequent subsets
-
2008
-
BARBER, B. AND HAMILTON, H. J. 2008. Extracting share frequent itemsets with infrequent subsets. Data Mining Knowl. Discovery 7, 2, 153-185.
-
Data Mining Knowl. Discovery
, vol.7
, Issue.2
, pp. 153-185
-
-
Barber, B.1
Hamilton, H.J.2
-
3
-
-
84867817851
-
Mining minimal nonredundant association rules using frequent closed itemsets
-
London, UK
-
BASTIDE, Y., PASQUIER, N., TAOUIL, R., STUMME, G., AND LAKHAL, L. 2000. Mining minimal nonredundant association rules using frequent closed itemsets. In Proceedings of the 1st International Conference on Computational Logic. London, UK. 972-986.
-
(2000)
Proceedings of the 1st International Conference on Computational Logic
, pp. 972-986
-
-
Bastide, Y.1
Pasquier, N.2
Taouil, R.3
Stumme, G.4
Lakhal, L.5
-
6
-
-
0003802343
-
-
Wadsworth and Brooks, Pacific Grove, CA
-
BREIMAN, L., FREIDMAN, J., OLSHEN, R., AND STONE, C. 1984. Classification and Regression Trees. Wadsworth and Brooks, Pacific Grove, CA.
-
(1984)
Classification and Regression Trees
-
-
Breiman, L.1
Freidman, J.2
Olshen, R.3
Stone, C.4
-
7
-
-
84953355673
-
Mining association rules with weighted items
-
Cardiff, UK
-
CAI, C. H., Fu, A. W., CHENG, C. H., AND KWONG, W. W. 1998. Mining association rules with weighted items. In Proceedings of the International Database Engineering and Applications Symposium (IDEAS '98). Cardiff, UK. 68-77.
-
(1998)
Proceedings of the International Database Engineering and Applications Symposium (IDEAS '98)
, pp. 68-77
-
-
Cai, C.H.1
Fu, A.W.2
Cheng, C.H.3
Kwong, W.W.4
-
8
-
-
84947734129
-
Share-Based measures for itemsets
-
Trondheim, Norway
-
CARTER, C. L., HAMILTON, H. J., AND CERCONE, N. 1997. Share-Based measures for itemsets. In Proceedings of the 1st European Symposium on Principles of Data Mining and Knowledge Discovery (PKDD '97). Trondheim, Norway. 14-24.
-
(1997)
Proceedings of the 1st European Symposium on Principles of Data Mining and Knowledge Discovery (PKDD '97)
, pp. 14-24
-
-
Carter, C.L.1
Hamilton, H.J.2
Cercone, N.3
-
10
-
-
78149303209
-
Mining high-utility itemsets
-
Melbourne, FL
-
CHAN, R., YANG, Q., AND SHEN, Y. 2003. Mining high-utility itemsets. In Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM '03). Melbourne, FL. 19-26.
-
(2003)
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM '03)
, pp. 19-26
-
-
Chan, R.1
Yang, Q.2
Shen, Y.3
-
14
-
-
0002433547
-
From data mining to knowledge discovery: An overview
-
U. M. Fayyad et al., Eds. MIT Press. Cambridge, MA
-
FAYYAD, U. M., PIATETSKY-SHAPIRO, G., AND SMYTH, P. 1996. From data mining to knowledge discovery: An overview. In Advances in Knowledge Discovery and Data Mining, U. M. Fayyad et al., Eds. MIT Press. Cambridge, MA, 1-34.
-
(1996)
Advances in Knowledge Discovery and Data Mining
, pp. 1-34
-
-
Fayyad, U.M.1
Piatetsky-Shapiro, G.2
Smyth, P.3
-
15
-
-
84947931008
-
Overfitting revisited: An information-theoretic approach to simplifying discrimination trees
-
FORSYTH, R. S., CLARKE, D. D., AND WRIGHT, R. L. 1994. Overfitting revisited: An information-theoretic approach to simplifying discrimination trees. J. Exp. Theor, Artif, Intell. 6, 289-302.
-
(1994)
J. Exp. Theor, Artif, Intell.
, vol.6
, pp. 289-302
-
-
Forsyth, R.S.1
Clarke, D.D.2
Wright, R.L.3
-
17
-
-
14844361816
-
ROC 'n' rule learning: Towards a better understanding of covering algorithms
-
FÜRNKRANZ, J. AND FLACH, P. A. 2005. ROC 'n' rule learning: Towards a better understanding of covering algorithms. Mach. Learn. 58, 1, 39-77.
-
(2005)
Mach. Learn.
, vol.58
, Issue.1
, pp. 39-77
-
-
Fürnkranz, J.1
Flach, P.A.2
-
19
-
-
33646260440
-
Efficient spatio-temporal data mining with GenSpace graphs
-
HAMILTON, H. J., GENG, L., FINDLATER, L., AND RANDALL, D. J. 2006. Efficient spatio-temporal data mining with GenSpace graphs. J. Appl. Logic 4, 2, 192-214.
-
(2006)
J. Appl. Logic
, vol.4
, Issue.2
, pp. 192-214
-
-
Hamilton, H.J.1
Geng, L.2
Findlater, L.3
Randall, D.J.4
-
20
-
-
0042492460
-
Mining market basket data using share measures and characterized itemsets
-
Melbourne, Australia
-
HILDEHMAN, R. J., CARTER, C. L., HAMILTON, H. J., AND CERCONE, N. 1998. Mining market basket data using share measures and characterized itemsets. In Proceedings of the 2nd Pacific Asia Conference on Knowledge Discovery in Databases (PAKDD-98). Melbourne, Australia. 72-86.
-
(1998)
Proceedings of the 2nd Pacific Asia Conference on Knowledge Discovery in Databases (PAKDD-98)
, pp. 72-86
-
-
Hildehman, R.J.1
Carter, C.L.2
Hamilton, H.J.3
Cercone, N.4
-
22
-
-
0004006017
-
-
HOAGLIN, D. C., MOSTELLER, F., AND TUKEY, J. W., EDS. Wiley, New York
-
HOAGLIN, D. C., MOSTELLER, F., AND TUKEY, J. W., EDS. 1985. Exploring Data Tables, Trends, and Shapes. Wiley, New York.
-
(1985)
Exploring Data Tables, Trends, and Shapes
-
-
-
24
-
-
0002192370
-
Explora: A multipattern and multistrategy discovery assistant
-
U. M. Fayyad et al., Eds. MIT Press, Cambridge, MA
-
KLOSGEN, W. 1996. Explora: A multipattern and multistrategy discovery assistant. In Advances in Knowledge Discovery and Data Mining, U. M. Fayyad et al., Eds. MIT Press, Cambridge, MA, 249-271.
-
(1996)
Advances in Knowledge Discovery and Data Mining
, pp. 249-271
-
-
Klosgen, W.1
-
25
-
-
0034133513
-
Distance based outliers: Algorithms and applications
-
KNORR, E. M., NG, R. T., AND TUCAKOV, V. 2000. Distance based outliers: Algorithms and applications. Int. J. Very Large Databases 8, 237-253.
-
(2000)
Int. J. Very Large Databases
, vol.8
, pp. 237-253
-
-
Knorr, E.M.1
Ng, R.T.2
Tucakov, V.3
-
26
-
-
84949207526
-
Rule evaluation measures: A unifying view
-
Bled, Slovenia. Springer-Verlag
-
LAVHAC, N., FLACH, P., AND ZUPAN, B. 1999. Rule evaluation measures: A unifying view. In Proceedings of the 9th International Workshop on Inductive Logic Programming (ILP '99). Bled, Slovenia. Springer-Verlag, 174-185.
-
(1999)
Proceedings of the 9th International Workshop on Inductive Logic Programming (ILP '99)
, pp. 174-185
-
-
Lavhac, N.1
Flach, P.2
Zupan, B.3
-
27
-
-
11944264452
-
A multicriteria decision aid for interestingness measure selection
-
May 2004 LUSSI Department, GET/ENST, Bretagne, France
-
LENCA, P., MEYER, P., VAILLANT, B., AND LALLICH, S. 2004. A multicriteria decision aid for interestingness measure selection. Tech. Rep. LUSSI-TR-2004-01-EN, May 2004. LUSSI Department, GET/ENST, Bretagne, France.
-
(2004)
Tech. Rep.
, vol.LUSSI-TR-2004-01-EN
-
-
Lenca, P.1
Meyer, P.2
Vaillant, B.3
Lallich, S.4
-
29
-
-
33646423978
-
Mining optimal actions for profitable CRM
-
Maebashi City, Japan
-
LING, C., CHEN, T., YANG, Q., AND CHEN, J. 2002. Mining optimal actions for profitable CRM. In Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM '02). Maebashi City, Japan.767-770.
-
(2002)
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM '02)
, pp. 767-770
-
-
Ling, C.1
Chen, T.2
Yang, Q.3
Chen, J.4
-
30
-
-
0003269280
-
Using general impressions to analyze discovered classification rules
-
Newport Beach, CA
-
Liu, B., HSU, W., AND CHEN, S. 1997. Using general impressions to analyze discovered classification rules. In Proceedings of the 3rd International Conference on Knowledge Discovery and Data Mining (KDD-97). Newport Beach, CA. 31-36.
-
(1997)
Proceedings of the 3rd International Conference on Knowledge Discovery and Data Mining (KDD-97)
, pp. 31-36
-
-
Liu, B.1
Hsu, W.2
Chen, S.3
-
31
-
-
0033333282
-
Finding interesting patterns using user expectations
-
Liu, B., Hsu, W., MUN, L., AND LEE, H. 1999. Finding interesting patterns using user expectations. IEEE Trans. Knowl. Data Eng. 11, 6, 817-832.
-
(1999)
IEEE Trans. Knowl. Data Eng.
, vol.11
, Issue.6
, pp. 817-832
-
-
Liu, B.1
Hsu, W.2
Mun, L.3
Lee, H.4
-
32
-
-
0345929952
-
Mining weighted association rules
-
LU, S., HU, H., AND LI, F. 2001. Mining weighted association rules. Intell. Data Anal. 5, 3, 211-225.
-
(2001)
Intell. Data Anal.
, vol.5
, Issue.3
, pp. 211-225
-
-
Lu, S.1
Hu, H.2
Li, F.3
-
33
-
-
28544452631
-
A survey of interestingness measures for knowledge discovery
-
MCGARHY, K. 2005. A survey of interestingness measures for knowledge discovery. Knowl. Eng. Review 20, 1, 39-61.
-
(2005)
Knowl. Eng. Review
, vol.20
, Issue.1
, pp. 39-61
-
-
Mcgarhy, K.1
-
34
-
-
0002431740
-
Automatic construction of decision trees from data: A multi-disciplinary survey
-
MURTHY, S. K. 1998. Automatic construction of decision trees from data: A multi-disciplinary survey. Data Mining Knowl. Discovery 2, 4, 345-389.
-
(1998)
Data Mining Knowl. Discovery
, vol.2
, Issue.4
, pp. 345-389
-
-
Murthy, S.K.1
-
35
-
-
32344439645
-
Evaluation of rule interestingness measures with a clinical dataset on hepatitis
-
Pisa, Italy
-
OHSAKI, M., KITAGUCHI, S., OKAMOTO, K., YOKOI, H., AND YAMAGUCHI, T. 2004. Evaluation of rule interestingness measures with a clinical dataset on hepatitis. In Proceedings of the 8th European Conference on Principles of Data Mining and Knowledge Discovery (PKDD 2004). Pisa, Italy. 862-373.
-
(2004)
Proceedings of the 8th European Conference on Principles of Data Mining and Knowledge Discovery (PKDD 2004)
, pp. 862-1373
-
-
Ohsaki, M.1
Kitaguchi, S.2
Okamoto, K.3
Yokoi, H.4
Yamaguchi, T.5
-
38
-
-
0025389210
-
Boolean feature discovery in empirical leaning
-
PAGALLO, G. AND HAUSSLER, D. 1990. Boolean feature discovery in empirical leaning. Mach. Learn. B, 1, 71-99.
-
(1990)
Mach. Learn. B
, vol.1
, pp. 71-99
-
-
Pagallo, G.1
Haussler, D.2
-
39
-
-
0002877253
-
Discovery, analysis, and presentation of strong rules
-
G. Piatetsky-Shapiro and W. J. Frawley, Eds. MIT Press, Cambridge, MA
-
PIATETSKST-SHAPIRO, G. 1991. Discovery, analysis, and presentation of strong rules. In Knowledge Discovery in Databases, G. Piatetsky-Shapiro and W. J. Frawley, Eds. MIT Press, Cambridge, MA, 229-248.
-
(1991)
Knowledge Discovery in Databases
, pp. 229-248
-
-
Piatetskst-Shapiro, G.1
-
41
-
-
33744584654
-
Induction of decision trees
-
QUINLAN, J. R. 1986. Induction of decision trees. Mach. Learn. 1, 1, 81-106.
-
(1986)
Mach. Learn
, vol.1
, Issue.1
, pp. 81-106
-
-
Quinlan, J.R.1
-
44
-
-
84890506262
-
Discovery-driven exploration of OLAP data cubes
-
Valencia, Spain
-
SARAWAGI, S., AGRAWAL, R., AND MEGIDDO, N. 1998. Discovery-driven exploration of OLAP data cubes. In Proceedings of the 6th International Conference of Extending Database Technology (EDBT '98). Valencia, Spain. 168-182.
-
(1998)
Proceedings of the 6th International Conference of Extending Database Technology (EDBT '98)
, pp. 168-182
-
-
Sarawagi, S.1
Agrawal, R.2
Megiddo, N.3
-
45
-
-
78149295579
-
Objective-Oriented utility-based association mining
-
Maebashi City, Japan
-
SHEN, Y. D., ZHANG, Z., AND YANG, Q. 2002. Objective-Oriented utility-based association mining. In Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM '02). Maebashi City, Japan. 426-433.
-
(2002)
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM '02)
, pp. 426-433
-
-
Shen, Y.D.1
Zhang, Z.2
Yang, Q.3
-
47
-
-
0030380606
-
What makes patterns interesting in knowledge discovery systems
-
SILBERSCHATZ, A. AND TUZHILIN, A. 1996. What makes patterns interesting in knowledge discovery systems. IEEE Trans. Knowl. Data Eng. 8, 6, 970-974.
-
(1996)
IEEE Trans. Knowl. Data Eng.
, vol.8
, Issue.6
, pp. 970-974
-
-
Silberschatz, A.1
Tuzhilin, A.2
-
48
-
-
0037868122
-
Interestingness measures for association patterns: A perspective
-
Department of Computer Science, University of Minnesota
-
TAN, P. AND KUMAR, V. 2000. Interestingness measures for association patterns: A perspective. Tech. Rep. 00-036, Department of Computer Science, University of Minnesota.
-
(2000)
Tech. Rep.
, Issue.36
-
-
Tan, P.1
Kumar, V.2
-
49
-
-
0242625291
-
Selecting the right interestingness measure for association patterns
-
Edmonton, Canada.
-
TAN, P., KUMAR, V., AND SRIVASTAVA, J. 2002. Selecting the right interestingness measure for association patterns. In Proceedings of the 8th International Conference on Knowledge Discovery and Data Mining (KDD 2002). Edmonton, Canada. 32-41.
-
(2002)
Proceedings of the 8th International Conference on Knowledge Discovery and Data Mining (KDD 2002)
, pp. 32-41
-
-
Tan, P.1
Kumar, V.2
Srivastava, J.3
-
50
-
-
33745295400
-
A clustering of interestingness measures
-
Padova, Italy
-
VAILLANT, B., LENCA, P., AND LALLICH, S. 2004. A clustering of interestingness measures. In Proceedings of the 7th International Conference on Discovery Science (DS 2004). Padova, Italy. 290-297.
-
(2004)
Proceedings of the 7th International Conference on Discovery Science (DS 2004)
, pp. 290-297
-
-
Vaillant, B.1
Lenca, P.2
Lallich, S.3
-
51
-
-
0033877395
-
Minimum description length induction, Bayesianism, and Kolmogorov complexity
-
VITANYI, P. M. B. AND Li, M. 2000. Minimum description length induction, Bayesianism, and Kolmogorov complexity. IEEE Trans. Inf. Theory 46, 2, 446-464.
-
(2000)
IEEE Trans. Inf. Theory
, vol.46
, Issue.2
, pp. 446-464
-
-
Vitanyi, P.M.B.1
Li, M.2
-
52
-
-
84883810104
-
Profit mining: From patterns to actions
-
Prague, Czech Republic
-
WANG, K., ZHOU, S., AND HAN, J. 2002. Profit mining: From patterns to actions. In Proceedings of the 8th Conference on Extending Database Technology (EDBT 2002). Prague, Czech Republic. 70-87.
-
(2002)
Proceedings of the 8th Conference on Extending Database Technology (EDBT 2002)
, pp. 70-87
-
-
Wang, K.1
Zhou, S.2
Han, J.3
-
54
-
-
70449408968
-
A measurement-theoretic foundation of rule interestingness evaluation
-
T. Y. Lin et al., Eds. Springer-Verlag, Berlin
-
YAO, Y. Y., CHEN, Y. H., AND YANG, X. D. 2006. A measurement-theoretic foundation of rule interestingness evaluation. In Foundations and Novel Approaches in Data Mining, T. Y. Lin et al., Eds. Springer-Verlag, Berlin, 41-59.
-
(2006)
Foundations and Novel Approaches in Data Mining
, pp. 41-59
-
-
Yao, Y.Y.1
Chen, Y.H.2
Yang, X.D.3
-
56
-
-
2942590769
-
A foundational approach for mining itemset utilities from databases
-
Orlando, FL
-
YAO, H., HAMILTON, H. J., AND BUTZ, C. J. 2004. A foundational approach for mining itemset utilities from databases. In Proceedings of the SIAM International Conference on Data Mining. Orlando, FL. 482-486.
-
(2004)
Proceedings of the SIAM International Conference on Data Mining
, pp. 482-486
-
-
Yao, H.1
Hamilton, H.J.2
Butz, C.J.3
-
57
-
-
33749250911
-
Mining itemset utilities from transaction databases
-
YAO, H. AND HAMILTON, H. J. 2006. Mining itemset utilities from transaction databases. Data Knowl. Eng. 59, 3.
-
(2006)
Data Knowl. Eng.
, vol.59
, pp. 3
-
-
Yao, H.1
Hamilton, H.J.2
-
58
-
-
33644977630
-
On mining summaries by objective measures of interestingness
-
ZBIDI, N., FAIZ, S., AND LIMAM, M. 2006. On mining summaries by objective measures of interestingness. Mach. Learn. 62, 3, 175-198.
-
(2006)
Mach. Learn.
, vol.62
, Issue.3
, pp. 175-198
-
-
Zbidi, N.1
Faiz, S.2
Limam, M.3
-
59
-
-
12244294068
-
On the discovery of significant statistical quantitative rules
-
Seattle, WA
-
ZHANG, H., PADMANABHAN, B., AND TUZHILIN, A. 2004. On the discovery of significant statistical quantitative rules. In Proceedings of the 10th International Conference on Knowledge Discovery and Data Mining (KDD 2004). Seattle, WA. 374-383.
-
(2004)
Proceedings of the 10th International Conference on Knowledge Discovery and Data Mining (KDD 2004)
, pp. 374-383
-
-
Zhang, H.1
Padmanabhan, B.2
Tuzhilin, A.3
-
60
-
-
0041347740
-
Peculiarity oriented multidatabase mining
-
ZHONG, N., YAO, Y. Y., AND OHSHIMA, M. 2003. Peculiarity oriented multidatabase mining. IEEE Trans. Knowl. Data Engi. 15, 4, 952-960.
-
(2003)
IEEE Trans. Knowl. Data Engi.
, vol.15
, Issue.4
, pp. 952-960
-
-
Zhong, N.1
Yao, Y.Y.2
Ohshima, M.3
|