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Volumn 9437, Issue , 2015, Pages 340-351

A classification method for imbalanced data based on SMOTE and fuzzy rough nearest neighbor algorithm

Author keywords

Classification; Fuzzy rough set; Imbalanced data; Nearest neighbour; SMOTE

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); FUZZY SETS; GRANULAR COMPUTING; ROUGH SET THEORY;

EID: 84952644910     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-25783-9_31     Document Type: Conference Paper
Times cited : (3)

References (18)
  • 3
    • 33845772427 scopus 로고    scopus 로고
    • Learning when data sets are imbalanced and when costs are unequal and unknown
    • Maloof, M.A.: Learning when data sets are imbalanced and when costs are unequal and unknown. In: ICML-2003 Workshop on Learning from Imbalanced Data Sets II, vol. 2, pp. 1–2 (2003)
    • (2003) ICML-2003 Workshop on Learning from Imbalanced Data Sets II , vol.2 , pp. 1-2
    • Maloof, M.A.1
  • 4
    • 2242481419 scopus 로고    scopus 로고
    • Learning from imbalanced data sets: A comparison of various strategies
    • Japkowicz, N.: Learning from imbalanced data sets: a comparison of various strategies. In: AAAIWorkshop on Learning from Imbalanced Data Sets, pp. 10–15 (2000)
    • (2000) Aaaiworkshop on Learning from Imbalanced Data Sets , pp. 10-15
    • Japkowicz, N.1
  • 5
    • 81855176118 scopus 로고    scopus 로고
    • Comparing alternative classifiers for database marketing: The case of imbalanced datasets
    • Duman, E., Ekinci, Y., Tanrıverdi, A.: Comparing alternative classifiers for database marketing: the case of imbalanced datasets. Expert Syst. Appl. 39, 48–53 (2012)
    • (2012) Expert Syst. Appl , vol.39 , pp. 48-53
    • Duman, E.1    Ekinci, Y.2    Tanrıverdi, A.3
  • 7
    • 84878110379 scopus 로고    scopus 로고
    • A preclustering-based ensemble learning technique for acute appendicitis diagnoses
    • Lee, Y., Hu, P., Cheng, T., Huang, T., Chuang, W.: A preclustering-based ensemble learning technique for acute appendicitis diagnoses. Artif. Intell. Med. 58, 115–124 (2013)
    • (2013) Artif. Intell. Med , vol.58 , pp. 115-124
    • Lee, Y.1    Hu, P.2    Cheng, T.3    Huang, T.4    Chuang, W.5
  • 9
    • 20844458491 scopus 로고    scopus 로고
    • Mining with rarity: A unifying framework
    • Newsl
    • Weiss, G.M.: Mining with rarity: a unifying framework. ACM SIGKDD Explor. Newsl. 6, 7–19 (2004)
    • (2004) ACM SIGKDD Explor , vol.6 , pp. 7-19
    • Weiss, G.M.1
  • 10
    • 79952441195 scopus 로고    scopus 로고
    • A new weighted approach to imbalanced data classification problem via support vector machine with quadratic cost function
    • Hwang, J., Park, S., Kim, E.: A new weighted approach to imbalanced data classification problem via support vector machine with quadratic cost function. Expert Syst. Appl. 38, 8580–8585 (2011)
    • (2011) Expert Syst. Appl , vol.38 , pp. 8580-8585
    • Hwang, J.1    Park, S.2    Kim, E.3
  • 11
    • 34547673383 scopus 로고    scopus 로고
    • Cost-sensitive boosting for classification of imbalanced data
    • Sun, Y., Kamel, M.S., Wong, A.K., Wang, Y.: Cost-sensitive boosting for classification of imbalanced data. Pattern Recogn. 40, 3358–3378 (2007)
    • (2007) Pattern Recogn , vol.40 , pp. 3358-3378
    • Sun, Y.1    Kamel, M.S.2    Wong, A.K.3    Wang, Y.4
  • 12
    • 79956319820 scopus 로고    scopus 로고
    • Fuzzy-rough nearest neighbour classification
    • In: Peters, J.F., Skowron, A., Chan, C.-C., Grzymala-Busse, J.W., Ziarko, W.P. (eds.), Springer, Heidelberg
    • Jensen, R., Cornelis, C.: Fuzzy-rough nearest neighbour classification. In: Peters, J.F., Skowron, A., Chan, C.-C., Grzymala-Busse, J.W., Ziarko, W.P. (eds.) Transactions on Rough Sets XIII. LNCS, vol. 6499, pp. 56–72. Springer, Heidelberg (2011)
    • (2011) Transactions on Rough Sets XIII. LNCS , vol.6499 , pp. 56-72
    • Jensen, R.1    Cornelis, C.2
  • 13
    • 0037121517 scopus 로고    scopus 로고
    • Rough-fuzzy functions in classification
    • Sarkar, M.: Rough-fuzzy functions in classification. Fuzzy Sets Syst. 132(3), 353–369 (2002)
    • (2002) Fuzzy Sets Syst , vol.132 , Issue.3 , pp. 353-369
    • Sarkar, M.1
  • 14
    • 84952668138 scopus 로고    scopus 로고
    • New oversampling algorithm DB-SMOTE
    • Liu, X., Liu, S.: New oversampling algorithm DB-SMOTE. Comput. Eng. Appl., 92–95 (2014)
    • (2014) Comput. Eng. Appl. , pp. 92-95
    • Liu, X.1    Liu, S.2
  • 15
    • 84923328437 scopus 로고    scopus 로고
    • SMOTE-IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a resampling method with filtering
    • Sáez, J., Luengo, J., Stefanowski, J., Herrera, F.: SMOTE-IPF: addressing the noisy and borderline examples problem in imbalanced classification by a resampling method with filtering. Inf. Sci. 291, 184–203 (2015)
    • (2015) Inf. Sci , vol.291 , pp. 184-203
    • Sáez, J.1    Luengo, J.2    Stefanowski, J.3    Herrera, F.4
  • 16
  • 17
    • 36549024482 scopus 로고    scopus 로고
    • A weighted rough set based method developed for class imbalance learning
    • Liu, J., Hu, Q.: A weighted rough set based method developed for class imbalance learning. Inf. Sci. 178, 1235–1256 (2008)
    • (2008) Inf. Sci , vol.178 , pp. 1235-1256
    • Liu, J.1    Hu, Q.2
  • 18
    • 84926662675 scopus 로고
    • Nearest neighbor pattern classification
    • Cover, T., Hart, P.: Nearest neighbor pattern classification. IEEE Trans. Inf. Theor. 13, 21–27 (1967)
    • (1967) IEEE Trans. Inf. Theor , vol.13 , pp. 21-27
    • Cover, T.1    Hart, P.2


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