메뉴 건너뛰기




Volumn 20, Issue 7, 2005, Pages 673-691

Unified algorithm for undirected discovery of exception rules

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; DATA REDUCTION; DECISION MAKING; LEARNING SYSTEMS; PROBABILITY; THEOREM PROVING;

EID: 21844457136     PISSN: 08848173     EISSN: None     Source Type: Journal    
DOI: 10.1002/int.20090     Document Type: Article
Times cited : (30)

References (24)
  • 1
    • 0002337827 scopus 로고    scopus 로고
    • Machine learning and data mining
    • Mitchell TM. Machine learning and data mining. Commun ACM 1999;42:31-36.
    • (1999) Commun ACM , vol.42 , pp. 31-36
    • Mitchell, T.M.1
  • 2
    • 0002948319 scopus 로고    scopus 로고
    • Algorithms for mining distance-based outliers in large datasets
    • New York, August 24-27
    • Knorr EM, Ng RT. Algorithms for mining distance-based outliers in large datasets. In: Proc 24th Annual Int Conf on Very Large Data Bases, New York, August 24-27, 1998. pp 392-403.
    • (1998) Proc 24th Annual Int Conf on Very Large Data Bases , pp. 392-403
    • Knorr, E.M.1    Ng, R.T.2
  • 3
    • 0007315638 scopus 로고    scopus 로고
    • Explaining differences in multidimensional aggregates
    • Edinburgh, Scotland, September 7-10
    • Sarawagi S. Explaining differences in multidimensional aggregates. In: Proc 25th Int Conf on Very Large Data Bases, Edinburgh, Scotland, September 7-10, 1999. pp 42-53.
    • (1999) Proc 25th Int Conf on Very Large Data Bases , pp. 42-53
    • Sarawagi, S.1
  • 4
    • 0003269280 scopus 로고    scopus 로고
    • Using general impressions to analyze discovered classification rules
    • Newport Beach, California, August 14-17
    • Liu B, Hsu W, Chen S. Using general impressions to analyze discovered classification rules. In: Proc Third Int Conf on Knowledge Discovery and Data Mining, Newport Beach, California, August 14-17, 1997. pp 31-36.
    • (1997) Proc Third Int Conf on Knowledge Discovery and Data Mining , pp. 31-36
    • Liu, B.1    Hsu, W.2    Chen, S.3
  • 9
    • 0030380606 scopus 로고    scopus 로고
    • What makes patterns interesting in knowledge discovery systems
    • Silberschatz A, Tuzhilin A. What makes patterns interesting in knowledge discovery systems. IEEE Trans Knowl Data Eng 1996;8:970-974.
    • (1996) IEEE Trans Knowl Data Eng , vol.8 , pp. 970-974
    • Silberschatz, A.1    Tuzhilin, A.2
  • 10
    • 84920878139 scopus 로고    scopus 로고
    • Exceptional knowledge discovery in databases based on information theory
    • Portland, Oregon, August 2-4
    • Suzuki E, Shimura M. Exceptional knowledge discovery in databases based on information theory. In: Proc Second Int Conf on Knowledge Discovery and Data Mining, Portland, Oregon, August 2-4, 1996. pp 275-278.
    • (1996) Proc Second Int Conf on Knowledge Discovery and Data Mining , pp. 275-278
    • Suzuki, E.1    Shimura, M.2
  • 12
    • 84964943935 scopus 로고    scopus 로고
    • Autonomous discovery of reliable exception rules
    • Newport Beach, California, August 14-17
    • Suzuki E. Autonomous discovery of reliable exception rules. In: Proc Third Int Conf on Knowledge Discovery and Data Mining, Newport Beach, California, August 14-17,1997. pp 259-262.
    • (1997) Proc Third Int Conf on Knowledge Discovery and Data Mining , pp. 259-262
    • Suzuki, E.1
  • 13
    • 84947703686 scopus 로고    scopus 로고
    • Discovery of surprising exception rules based on intensity of implication
    • Zytkow JM, Quafafou M, editors. Principles of data mining and knowledge discovery. Berlin: Springer
    • Suzuki E, Kodratoff Y. Discovery of surprising exception rules based on intensity of implication. In: Zytkow JM, Quafafou M, editors. Principles of data mining and knowledge discovery. Lecture Notes in Artificial Intelligence 1510. Berlin: Springer; 1998. pp 10-18.
    • (1998) Lecture Notes in Artificial Intelligence , vol.1510 , pp. 10-18
    • Suzuki, E.1    Kodratoff, Y.2
  • 14
    • 84957811911 scopus 로고    scopus 로고
    • Scheduled discovery of exception rules
    • Arikawa S, Furukawa K, editors. Discovery science. Berlin: Springer
    • Suzuki E. Scheduled discovery of exception rules. In: Arikawa S, Furukawa K, editors. Discovery science. Lecture Notes in Artificial Intelligence 1721. Berlin: Springer; 1999. pp 184-195.
    • (1999) Lecture Notes in Artificial Intelligence , vol.1721 , pp. 184-195
    • Suzuki, E.1
  • 15
    • 0036978502 scopus 로고    scopus 로고
    • Undirected discovery of interesting exception rules
    • Suzuki E. Undirected discovery of interesting exception rules. Int J Pattern Recogn Artif Intell 2002;16:1065-1086.
    • (2002) Int J Pattern Recogn Artif Intell , vol.16 , pp. 1065-1086
    • Suzuki, E.1
  • 16
    • 21844465455 scopus 로고    scopus 로고
    • Evaluation scheme for exception rule/group discovery
    • Zhong N, Liu J, editors. Berlin: Springer
    • Suzuki E. Evaluation scheme for exception rule/group discovery. In: Zhong N, Liu J, editors. Intelligent technologies for information analysis. Berlin: Springer; 2004. pp 89-108.
    • (2004) Intelligent Technologies for Information Analysis , pp. 89-108
    • Suzuki, E.1
  • 17
    • 84942804781 scopus 로고    scopus 로고
    • Fast discovery of interesting rules
    • Terano T, Liu H, Chen ALP, editors. Knowledge discovery and data mining. Berlin: Springer
    • Yugami N, Ohta Y, Okamoto S. Fast discovery of interesting rules. In: Terano T, Liu H, Chen ALP, editors. Knowledge discovery and data mining. Lecture Notes in Artificial Intelligence 1805. Berlin: Springer; 2000. pp 17-28.
    • (2000) Lecture Notes in Artificial Intelligence , vol.1805 , pp. 17-28
    • Yugami, N.1    Ohta, Y.2    Okamoto, S.3
  • 18
    • 33645800278 scopus 로고    scopus 로고
    • Evaluating hypothesis-driven exception-rule discovery with medical data sets
    • Terano T, Liu H, Chen ALP, editors. Knowledge discovery and data mining. Berlin: Springer
    • Suzuki E, Tsumoto S. Evaluating hypothesis-driven exception-rule discovery with medical data sets. In: Terano T, Liu H, Chen ALP, editors. Knowledge discovery and data mining. Lecture Notes in Artificial Intelligence 1805. Berlin: Springer; 2000. pp 86-97.
    • (2000) Lecture Notes in Artificial Intelligence , vol.1805 , pp. 86-97
    • Suzuki, E.1    Tsumoto, S.2
  • 19
  • 20
    • 0003408496 scopus 로고    scopus 로고
    • Department of Information and Computer Science, University of California Irvine
    • Blake CL, Merz CJ. UCI Repository of Machine Learning Databases. Department of Information and Computer Science, University of California Irvine; 1998. Available at http://www.ics.uci.edu/~mlearn/MLRepository.html.
    • (1998) UCI Repository of Machine Learning Databases
    • Blake, C.L.1    Merz, C.J.2
  • 21
    • 84974683992 scopus 로고    scopus 로고
    • Unified algorithm for undirected discovery of exception rules
    • Zighed DA, Komorowski J, Zytkow JM, editors. Principles of data mining and knowledge discovery. Berlin: Springer
    • Suzuki E, Żytkow JM. Unified algorithm for undirected discovery of exception rules. In: Zighed DA, Komorowski J, Zytkow JM, editors. Principles of data mining and knowledge discovery. Lecture Notes in Artificial Intelligence 1910. Berlin: Springer; 2000. pp 169-180.
    • (2000) Lecture Notes in Artificial Intelligence , vol.1910 , pp. 169-180
    • Suzuki, E.1    Zytkow, J.M.2
  • 22
    • 0026902042 scopus 로고
    • An information theoretic approach to rule induction from data-bases
    • Smyth P, Goodman RM. An information theoretic approach to rule induction from data-bases. IEEE Trans Knowl Data Eng 1992;4:301-316.
    • (1992) IEEE Trans Knowl Data Eng , vol.4 , pp. 301-316
    • Smyth, P.1    Goodman, R.M.2
  • 24
    • 85139983802 scopus 로고
    • Supervised and unsupervised discretization of continuous features
    • Tahoe City, California, July 9-12
    • Dougherty J, Kohavi R, Sahami M. Supervised and unsupervised discretization of continuous features. In: Proc 12th Int Conf on Machine Learning, Tahoe City, California, July 9-12, 1995. pp 194-202.
    • (1995) Proc 12th Int Conf on Machine Learning , pp. 194-202
    • Dougherty, J.1    Kohavi, R.2    Sahami, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.