Incremental classification rules based on association rules using formal concept analysis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3587 LNAI, Issue , 2005, Pages 11-20

  Gupta, Anamika ^a   Kumar, Naveen ^a   Bhatnagar, Vasudha ^a  

^a UNIVERSITY OF DELHI   (India)

Author keywords

Classification rules; Concept lattice; Data Mining; Formal concept analysis

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; REAL TIME SYSTEMS; SOFTWARE ENGINEERING;

CLASSIFICATION RULES; CONCEPT LATTICE; FORMAL CONCEPT ANALYSIS;

FORMAL LOGIC;

EID: 26944494492     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11510888_2     Document Type: Conference Paper

References (18)

1. [AS1994] Agrawal, R. and Srikant, R. 1994, Fast algorithms for mining association rules, VLDB-94, 1994
2. [CR1993] Carpineto, C., Romano, G.: Galois: An order-theoretic approach to conceptual clustering. In Proceedings of ICML'93, Amherst (1993) 33-40
3. [FFNN2004] Huniyu Fu, Huaiguo Fu, patrik Njiwoua, Engelbert Mephu Nguifo, A Comparative study of FCA- based Supervised Classification of Algorithms, ICFCA 2004.
4. [GMA1995] Robert Godin, Missaoui, Hassan Alaoui, Incremental concept formation algorithm based on Galois lattice, Computational Intelligence 11: 246-267 (1995)
5. [GW1999] Bernhard Ganter, Rudolf Wille, Formal Concept Analysis, Mathematical Foundations, Springer (1999)
6. [HLZC1999] Keyun Hu, Yuchang Lu, Lizhu Zhou, Chunyi Shi, Integrating Classification and Association Rule Mining : A Concept Lattice framework, RSFDGrC 1999, 443-447
7. [HK2001] Jiawei Han, Micheline Kamber, Data Mining: Concepts and Techniques
8. [LM1990] Liquiere,M., Mephu Nguifo, E.: LEGAL: Learning with Galois lattice.
9. [LHM1998] Bing Liu, Wynne Hsu, Yiming Ma, Integrating Classification and Association Rule Mining. In proceedings of KDD-98, 1998.
10. [MAR1996] Manish Mehta, Rakesh Agrawal, Jorma Rissanen, SLIQ: A Fast Scalable Classifier for Data Mining, Proc. of the fifth Int'l Conference on Extending Database Technology
11. [MM1996] Merz, C.J, and Murthy, P. 1996, UCI repository of machine learning database [ftp://ftp.ics.uci.edu/pub/machine-learning-databases/]
12. [MZ2000] Mohammed J. Zaki, Generating Non-Reduntant Association Rules, In proceedings of the 6th International Conference on Knowledge Discovery and Data Mining (KDD'00).
13. [PBL1999] Pasquier N.,Bastide Y., Lakhal L. Discovering frequent closed itemsets for association rules. In proceedings of the 7th International Conference on Database Theory (ICDT'99)
14. [S1995] Sahami M.: Learning Classification Rules using Lattices, In Proceedings of ECML'95.
15. [SA1996] Srikant, R. and Agrawal, R. 1996. Mining quantitative association rules in large relational tables, SIGMOD-96
16. [Q1986] Quinlan, J.R. Induction of decision tree. Machine Learning, 1986
17. [Q1992] Quinlan, J.R. 1992, C4.5: Program for machine learning, Morgan Kaufmann
18. [XHLL2002] Zhipeng XIE, Wynne HSU, Zongtian LIU, Mong Li LEE, Concept Lattice based Composite Classifiers for High Predictability. Journal of Experimental and Theoretical Artificial Intelligence 14 (2002) 143-156