메뉴 건너뛰기




Volumn 77, Issue 1, 2009, Pages 125-159

Cluster-grouping: From subgroup discovery to clustering

Author keywords

Associative classification; Clustering; Correlated pattern mining; Subgroup discovery

Indexed keywords

DATA MINING; LEARNING ALGORITHMS; LEARNING SYSTEMS;

EID: 69549138078     PISSN: 08856125     EISSN: 15730565     Source Type: Journal    
DOI: 10.1007/s10994-009-5121-y     Document Type: Article
Times cited : (26)

References (49)
  • 2
    • 33750322433 scopus 로고    scopus 로고
    • J. Fürnkranz T. Scheffer M. Spiliopoulou (eds) Springer Berlin
    • Atzmüller, M., & Puppe, F. (2006). SD-Map-a fast algorithm for exhaustive subgroup discovery. In J. Fürnkranz, T. Scheffer, & M. Spiliopoulou (Eds.), Proceedings of the tenth European conference on principles and practice of knowledge discovery in databases (pp. 6-17). Berlin: Springer.
    • (2006) SD-Map-a Fast Algorithm for Exhaustive Subgroup Discovery , pp. 6-17
    • Atzmüller, M.1    Puppe, F.2
  • 3
  • 5
    • 0002343269 scopus 로고    scopus 로고
    • J. W. Shavlik (eds) Morgan Kaufmann San Mateo
    • Blockeel, H., De Raedt, L., & Ramon, J. (1998). Top-down induction of clustering trees. In J. W. Shavlik (Ed.), Proceedings of the fifteenth international conference on machine learning (pp. 55-63). San Mateo: Morgan Kaufmann.
    • (1998) Top-down Induction of Clustering Trees , pp. 55-63
    • Blockeel, H.1    De Raedt, L.2    Ramon, J.3
  • 7
    • 33646417618 scopus 로고    scopus 로고
    • A. Jorge L. Torgo P. Brazdil R. Camacho J. Gama (eds) Springer Berlin
    • 2-Decision trees for tree structured data. In A. Jorge, L. Torgo, P. Brazdil, R. Camacho, & J. Gama (Eds.), 9th European conference on principles and practice of knowledge discovery in databases (pp. 46-58). Berlin: Springer.
    • (2005) 2-Decision Trees for Tree Structured Data , pp. 46-58
    • Bringmann, B.1    Zimmermann, A.2
  • 9
  • 10
    • 34249966007 scopus 로고
    • The CN2 induction algorithm
    • P. Clark T. Niblett 1989 The CN2 induction algorithm Machine Learning 3 261 283
    • (1989) Machine Learning , vol.3 , pp. 261-283
    • Clark, P.1    Niblett, T.2
  • 11
    • 34548554245 scopus 로고    scopus 로고
    • J. Han B. W. Wah V. Raghavan X. Wu R. Rastogi (eds) Houston, Texas, USA November 2005 IEEE New York
    • Coenen, F., & Leng, P. (2005). Obtaining best parameter values for accurate classification. In J. Han, B. W. Wah, V. Raghavan, X. Wu, & R. Rastogi (Eds.), Proceedings of the fifth IEEE international conference on data mining (pp. 597-600), Houston, Texas, USA, November 2005. New York: IEEE.
    • (2005) Obtaining Best Parameter Values for Accurate Classification , pp. 597-600
    • Coenen, F.1    Leng, P.2
  • 12
    • 85149612939 scopus 로고
    • A. Prieditis S. J. Russell (eds) Tahoe City, California, USA July 1995 Morgan Kaufmann San Mateo
    • Cohen, W. W. (1995). Fast effective rule induction. In A. Prieditis, & S. J. Russell (Eds.), Proceedings of the twelfth international conference on machine learning (pp. 115-123), Tahoe City, California, USA, July 1995. San Mateo: Morgan Kaufmann.
    • (1995) Fast Effective Rule Induction , pp. 115-123
    • Cohen, W.W.1
  • 13
    • 77957598014 scopus 로고    scopus 로고
    • Springer Berlin
    • De Raedt, L. (2008). Logical and relational learning. Cognitive technologies. Berlin: Springer.
    • (2008)
    • De Raedt, L.1
  • 14
    • 69549123046 scopus 로고
    • AAAI Press/MIT Press Menlo Park/Cambridge
    • Dietterich, T. G., & Bakiri, G. (1991). Error-correcting output codes: A general method for improving multiclass inductive learning programs. In Proceedings of the 9th national conference on artificial intelligence (pp. 572-577), Anaheim, California, USA, July 1991. Menlo Park/Cambridge: AAAI Press/MIT Press.
    • (1991) , pp. 572-577
    • Dietterich, T.G.1    Bakiri, G.2
  • 16
    • 0343442766 scopus 로고
    • Knowledge acquisition via incremental conceptual clustering
    • D. H. Fisher 1987 Knowledge acquisition via incremental conceptual clustering Machine Learning 2 2 139 172
    • (1987) Machine Learning , vol.2 , Issue.2 , pp. 139-172
    • Fisher, D.H.1
  • 17
    • 0029678997 scopus 로고    scopus 로고
    • Iterative optimization and simplification of hierarchical clusterings
    • D. H. Fisher 1996 Iterative optimization and simplification of hierarchical clusterings Journal of Artificial Intelligence Research (JAIR) 4 147 178
    • (1996) Journal of Artificial Intelligence Research (JAIR) , vol.4 , pp. 147-178
    • Fisher, D.H.1
  • 19
    • 0034832530 scopus 로고    scopus 로고
    • Confirmation-guided discovery of first-order rules with Tertius
    • P. A. Flach N. Lachiche 2001 Confirmation-guided discovery of first-order rules with Tertius Machine Learning 42 1/2 61 95
    • (2001) Machine Learning , vol.42 , Issue.1-2 , pp. 61-95
    • Flach, P.A.1    Lachiche, N.2
  • 20
    • 69549119213 scopus 로고    scopus 로고
    • Morgan Kaufmann San Mateo
    • Frank, E., & Witten, I. H. (1999). Data mining: practical machine learning tools and techniques with Java implementations. San Mateo: Morgan Kaufmann.
    • (1999)
    • Frank, E.1    Witten, I.H.2
  • 22
    • 14844361816 scopus 로고    scopus 로고
    • ROC 'n' rule learning-towards a better understanding of covering algorithms
    • J. Fürnkranz P. A. Flach 2005 ROC 'n' rule learning-towards a better understanding of covering algorithms Machine Learning 58 1 39 77
    • (2005) Machine Learning , vol.58 , Issue.1 , pp. 39-77
    • Fürnkranz, J.1    Flach, P.A.2
  • 25
    • 33747881454 scopus 로고    scopus 로고
    • Apriori-SD: Adapting association rule learning to subgroup discovery
    • B. Kavsek N. Lavrac 2006 Apriori-SD: Adapting association rule learning to subgroup discovery Applied Artificial Intelligence 20 7 543 583
    • (2006) Applied Artificial Intelligence , vol.20 , Issue.7 , pp. 543-583
    • Kavsek, B.1    Lavrac, N.2
  • 26
    • 1542487612 scopus 로고    scopus 로고
    • U. Fayyad G. Piatetsky-Shapiro P. Smyth R. Uthurusamy (eds) MIT Press Cambridge
    • Klösgen, W. (1996). Explora: A multipattern and multistrategy discovery assistant. In U. Fayyad, G. Piatetsky-Shapiro, P. Smyth, & R. Uthurusamy (Eds.), Advances in knowledge discovery and data mining. Cambridge: MIT Press.
    • (1996) Explora: A Multipattern and Multistrategy Discovery Assistant
    • Klösgen, W.1
  • 27
    • 84949207526 scopus 로고    scopus 로고
    • S. Džeroski P. A. Flach (eds) Bled, Slovenia June 1999 Springer Berlin
    • Lavrač, N., Flach, P. A., & Zupan, B. (1999). Rule evaluation measures: A unifying view. In S. Džeroski, P. A. Flach (Eds.), Proceedings of the 9th international workshop on inductive logic programming (pp. 174-185), Bled, Slovenia, June 1999. Berlin: Springer.
    • (1999) Rule Evaluation Measures: A Unifying View , pp. 174-185
    • Lavrač, N.1    Flach, P.A.2    Zupan, B.3
  • 29
    • 78149313084 scopus 로고    scopus 로고
    • N. Cercone T. Y. Lin X. Wu (eds) San José, California, USA November 2001 IEEE Computer Society Los Alamitos
    • Li, W., Han, J., & Pei, J. (2001). CMAR: Accurate and efficient classification based on multiple class-association rules. In N. Cercone, T. Y. Lin, & X. Wu (Eds.), Proceedings of the 2001 IEEE international conference on data mining (pp. 369-376), San José, California, USA, November 2001. Los Alamitos: IEEE Computer Society.
    • (2001) CMAR: Accurate and Efficient Classification Based on Multiple Class-association Rules , pp. 369-376
    • Li, W.1    Han, J.2    Pei, J.3
  • 30
    • 0002776254 scopus 로고    scopus 로고
    • R. Agrawal P. E. Stolorz G. Piatetsky-Shapiro (eds) New York City, New York, USA August 1998 AAAI Press Menlo Park
    • Liu, B., Hsu, W., & Ma, Y. (1998). Integrating classification and association rule mining. In R. Agrawal, P. E. Stolorz, & G. Piatetsky-Shapiro (Eds.), Proceedings of the fourth international conference on knowledge discovery and data mining (pp. 80-86), New York City, New York, USA, August 1998. Menlo Park: AAAI Press.
    • (1998) Integrating Classification and Association Rule Mining , pp. 80-86
    • Liu, B.1    Hsu, W.2    Ma, Y.3
  • 33
    • 69549136065 scopus 로고    scopus 로고
    • Springer Berlin
    • Morik, K., Boulicaut, J.-F., & Siebes, A. (Eds.) (2004). Local pattern detection, international seminar, revised selected papers. Dagstuhl Castle, Germany, April 2004. Berlin: Springer.
    • (2004)
    • Morik, K.1    Boulicaut, J.-F.2    Siebes, A.3
  • 37
    • 0029185047 scopus 로고
    • A branch and bound incremental conceptual clusterer
    • A. J. Nevins 1995 A branch and bound incremental conceptual clusterer Machine Learning 18 1 5 22
    • (1995) Machine Learning , vol.18 , Issue.1 , pp. 5-22
    • Nevins, A.J.1
  • 38
    • 84880677668 scopus 로고    scopus 로고
    • T. Dean (eds) Stockholm, Sweden July 1999 Morgan Kaufmann San Mateo
    • Perkowitz, M., & Etzioni, O. (1999). Adaptive web sites: Conceptual cluster mining. In T. Dean (Ed.), Proceedings of the sixteenth international joint conference on artificial intelligence (pp. 264-269), Stockholm, Sweden, July 1999. San Mateo: Morgan Kaufmann.
    • (1999) Adaptive Web Sites: Conceptual Cluster Mining , pp. 264-269
    • Perkowitz, M.1    Etzioni, O.2
  • 39
    • 0028202408 scopus 로고
    • Representation design and brut-force induction in a Boeing manufacturing domain
    • P. J. Riddle R. Segal O. Etzioni 1994 Representation design and brut-force induction in a Boeing manufacturing domain Applied Artificial Intelligence 8 1 125 147
    • (1994) Applied Artificial Intelligence , vol.8 , Issue.1 , pp. 125-147
    • Riddle, P.J.1    Segal, R.2    Etzioni, O.3
  • 40
    • 0141719772 scopus 로고    scopus 로고
    • Finding the most interesting patterns in a database quickly by using sequential sampling
    • T. Scheffer S. Wrobel 2002 Finding the most interesting patterns in a database quickly by using sequential sampling Journal of Machine Learning Research 3 833 862
    • (2002) Journal of Machine Learning Research , vol.3 , pp. 833-862
    • Scheffer, T.1    Wrobel, S.2
  • 41
    • 35048831030 scopus 로고    scopus 로고
    • J.-F. Boulicaut F. Esposito F. Giannotti D. Pedreschi (eds) Pisa, Italy September 2004 Springer Berlin
    • Sese, J., & Morishita, S. (2004). Itemset classified clustering. In J.-F. Boulicaut, F. Esposito, F. Giannotti, & D. Pedreschi (Eds.), Proceedings of the 8th European conference on principles of data mining and knowledge discovery (pp. 398-409), Pisa, Italy, September 2004. Berlin: Springer.
    • (2004) Itemset Classified Clustering , pp. 398-409
    • Sese, J.1    Morishita, S.2
  • 42
    • 84974662270 scopus 로고    scopus 로고
    • R. L. de Mántaras E. Plaza (eds) Barcelona, Catalonia, Spain May 2000 Springer Berlin
    • Talavera, L. (2000). Dynamic feature selection in incremental hierarchical clustering. In R. L. de Mántaras, & E. Plaza (Eds.), Proceedings of the 11th European conference on machine learning (pp. 392-403), Barcelona, Catalonia, Spain, May 2000. Berlin: Springer.
    • (2000) Dynamic Feature Selection in Incremental Hierarchical Clustering , pp. 392-403
    • Talavera, L.1
  • 43
    • 0000835392 scopus 로고
    • Opus: An efficient admissible algorithm for unordered search
    • G. I. Webb 1995 Opus: An efficient admissible algorithm for unordered search Journal of Artificial Intelligence Research 3 431 465
    • (1995) Journal of Artificial Intelligence Research , vol.3 , pp. 431-465
    • Webb, G.I.1
  • 44
    • 34249653461 scopus 로고    scopus 로고
    • Discovering significant patterns
    • G. I. Webb 2007 Discovering significant patterns Machine Learning 68 1 1 33
    • (2007) Machine Learning , vol.68 , Issue.1 , pp. 1-33
    • Webb, G.I.1
  • 46
    • 34548792706 scopus 로고    scopus 로고
    • J. Komorowski J. Zytkow (eds) Trondheim, Norway 1997 Springer Berlin
    • Wrobel, S. (1997). An algorithm for multi-relational discovery of subgroups. In J. Komorowski, & J. Zytkow (Eds.), Proceedings of the first European symposium on principles of data mining and knowledge discovery (PKDD '97) (pp. 78-87), Trondheim, Norway, 1997. Berlin: Springer.
    • (1997) An Algorithm for Multi-relational Discovery of Subgroups , pp. 78-87
    • Wrobel, S.1
  • 47
    • 22944469100 scopus 로고    scopus 로고
    • J.-F. Boulicaut F. Esposito F. Giannotti D. Pedreschi (eds) Pisa, Italy September 2004 Springer Berlin
    • Zimmermann, A., & De Raedt, L. (2004a). Cluster-grouping: From subgroup discovery to clustering. In J.-F. Boulicaut, F. Esposito, F. Giannotti, & D. Pedreschi (Eds.), Proceedings of the 15th European conference on machine learning (pp. 575-577), Pisa, Italy, September 2004. Berlin: Springer.
    • (2004) Cluster-grouping: From Subgroup Discovery to Clustering , pp. 575-577
    • Zimmermann, A.1    De Raedt, L.2
  • 48
    • 35048886120 scopus 로고    scopus 로고
    • E. Suzuki S. Arikawa (eds) Padova, Italy October 2004 Springer Berlin
    • Zimmermann, A., & De Raedt, L. (2004b). Corclass: Correlated association rule mining for classification. In E. Suzuki, & S. Arikawa (Eds.), Proceedings of the 7th international conference on discovery science (pp. 60-72), Padova, Italy, October 2004. Berlin: Springer.
    • (2004) Corclass: Correlated Association Rule Mining for Classification , pp. 60-72
    • Zimmermann, A.1    De Raedt, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.