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Volumn 27, Issue 4, 2012, Pages 317-342

Neighborhood rough sets for dynamic data mining

Author keywords

[No Author keywords available]

Indexed keywords

CATEGORICAL DATA; DATA SETS; DYNAMIC DATA MINING; DYNAMIC MAINTENANCES; DYNAMIC METHOD; EXPERIMENTAL EVALUATION; INCREMENTAL METHOD; NUMERICAL DATA; ROUGH SET; ROUGH SET APPROXIMATION; ROUGH SET MODELS;

EID: 84863158343     PISSN: 08848173     EISSN: 1098111X     Source Type: Journal    
DOI: 10.1002/int.21523     Document Type: Article
Times cited : (128)

References (42)
  • 2
    • 4944255708 scopus 로고    scopus 로고
    • Algorithms for mining association rules in bag databases
    • Hsu PY, Chen YL, Ling CC,. Algorithms for mining association rules in bag databases. Inf Sci. 2004; 166: 31-47.
    • (2004) Inf Sci , vol.166 , pp. 31-47
    • Hsu, P.Y.1    Chen, Y.L.2    Ling, C.C.3
  • 3
    • 33646140552 scopus 로고    scopus 로고
    • A false negative approach to mining frequent itemsets from high speed transactional data streams
    • Yu JX, Chong Z, Lu H, Zhang Z, Zhou A,. A false negative approach to mining frequent itemsets from high speed transactional data streams. Inf Sci. 2006; 176: 1986-2015.
    • (2006) Inf Sci , vol.176 , pp. 1986-2015
    • Yu, J.X.1    Chong, Z.2    Lu, H.3    Zhang, Z.4    Zhou, A.5
  • 4
    • 0346972419 scopus 로고    scopus 로고
    • Deriving two-stage learning sequences from knowledge in fuzzy sequential pattern mining
    • Hu YC, Tzeng GH, Chen CM,. Deriving two-stage learning sequences from knowledge in fuzzy sequential pattern mining. Inf Sci. 2004; 159: 69-86.
    • (2004) Inf Sci , vol.159 , pp. 69-86
    • Hu, Y.C.1    Tzeng, G.H.2    Chen, C.M.3
  • 5
    • 2542480962 scopus 로고    scopus 로고
    • Mining massive document collections by the WEBSOM method
    • Lagus K, Kaski S, Kohonen T,. Mining massive document collections by the WEBSOM method. Inf Sci. 2004; 163: 135-156.
    • (2004) Inf Sci , vol.163 , pp. 135-156
    • Lagus, K.1    Kaski, S.2    Kohonen, T.3
  • 6
    • 31944451673 scopus 로고    scopus 로고
    • Looking into the seeds of time: Discovering temporal patterns in large transaction sets
    • DOI 10.1016/j.ins.2005.01.019, PII S0020025505000563
    • Li Y, Zhu S, Wang XS, Jajodia S,. Looking into the seeds of time: discovering temporal patterns in large transaction sets. Inf Sci. 2006; 176: 1003-1031. (Pubitemid 43190070)
    • (2006) Information Sciences , vol.176 , Issue.8 , pp. 1003-1031
    • Li, Y.1    Zhu, S.2    Wang, X.S.3    Jajodia, S.4
  • 7
    • 0032188308 scopus 로고    scopus 로고
    • Rough set theory and its applications to data analysis
    • Pawlak Z,. Rough set theory and its application to data analysis. Cybern Syst. 1998; 29: 661-688. (Pubitemid 128591850)
    • (1998) Cybernetics and Systems , vol.29 , Issue.7 , pp. 661-688
    • Pawlak, Z.1
  • 9
    • 33749680310 scopus 로고    scopus 로고
    • Rudiments of rough sets
    • DOI 10.1016/j.ins.2006.06.003, PII S0020025506001484
    • Pawlak Z, Skowron A,. Rudiments of rough sets. Inf Sci. 2007; 177: 3-27. (Pubitemid 44556698)
    • (2007) Information Sciences , vol.177 , Issue.1 , pp. 3-27
    • Pawlak, Z.1    Skowron, A.2
  • 10
    • 33749667344 scopus 로고    scopus 로고
    • Rough sets: Some extensions
    • DOI 10.1016/j.ins.2006.06.006, PII S0020025506001496
    • Pawlak Z, Skowron A,. Rough sets: Some extensions. Inf Sci. 2007; 177: 28-40. (Pubitemid 44556699)
    • (2007) Information Sciences , vol.177 , Issue.1 , pp. 28-40
    • Pawlak, Z.1    Skowron, A.2
  • 12
    • 42949087870 scopus 로고    scopus 로고
    • Mixed feature selection based on granulation and approximation
    • Hu QH, Liu JF, Yu DR,. Mixed feature selection based on granulation and approximation. Knowl-Based Syst. 2008; 21: 294-304.
    • (2008) Knowl-Based Syst , vol.21 , pp. 294-304
    • Hu, Q.H.1    Liu, J.F.2    Yu, D.R.3
  • 13
    • 46749140199 scopus 로고    scopus 로고
    • Neighborhood rough set based heterogeneous feature subset selection
    • Hu QH, Yu DR, Liu JF, Wu CX,. Neighborhood rough set based heterogeneous feature subset selection. Inf Sci. 2008; 178: 3577-3594.
    • (2008) Inf Sci , vol.178 , pp. 3577-3594
    • Hu, Q.H.1    Yu, D.R.2    Liu, J.F.3    Wu, C.X.4
  • 14
    • 70349119480 scopus 로고    scopus 로고
    • An incremental approach for inducing knowledge from dynamic information systems
    • Liu D, Li TR, Ruan D, Zou WL,. An incremental approach for inducing knowledge from dynamic information systems. Fundam Inf. 2009; 94: 245-260.
    • (2009) Fundam Inf , vol.94 , pp. 245-260
    • Liu, D.1    Li, T.R.2    Ruan, D.3    Zou, W.L.4
  • 15
    • 80053331510 scopus 로고    scopus 로고
    • Incremental learning optimization on knowledge discovery in dynamic business intelligent systems
    • Liu D, Li TR, Ruan D, Zhang JB,. Incremental learning optimization on knowledge discovery in dynamic business intelligent systems. J Global Optim. 2011; 51: 325-344.
    • (2011) J Global Optim , vol.51 , pp. 325-344
    • Liu, D.1    Li, T.R.2    Ruan, D.3    Zhang, J.B.4
  • 18
    • 77951118185 scopus 로고    scopus 로고
    • Positive approximation: An accelerator for attribute reduction in rough set theory
    • Qian YH, Liang JY, Witold P, Dang CY,. Positive approximation: an accelerator for attribute reduction in rough set theory. Artif Intell. 2010; 174: 597-618.
    • (2010) Artif Intell , vol.174 , pp. 597-618
    • Qian, Y.H.1    Liang, J.Y.2    Witold, P.3    Dang, C.Y.4
  • 19
    • 0035155557 scopus 로고    scopus 로고
    • Information granulation and rough set approximation
    • DOI 10.1002/1098-111X(200 101)16:1<87::AID-I NT7>3.0.CO;2-S
    • Yao YY,. Information granulation and rough set approximation. Int J Intell Syst. 2001; 16: 87-104. (Pubitemid 32089958)
    • (2001) International Journal of Intelligent Systems , vol.16 , Issue.1 , pp. 87-104
    • Yao, Y.Y.1
  • 22
    • 33645990298 scopus 로고    scopus 로고
    • Nearest neighbors by neighborhood counting
    • Wang H,. Nearest neighbors by neighborhood counting. IEEE Transa PAMI. 2006; 28: 942-953.
    • (2006) IEEE Transa PAMI , vol.28 , pp. 942-953
    • Wang, H.1
  • 24
    • 0029307419 scopus 로고
    • Data-based acquisition and incremental modification of classification rules
    • Shan L, Ziarko W,. Data-based acquisition and incremental modification of classification rules. Comput Intell. 1995; 11: 357-370.
    • (1995) Comput Intell , vol.11 , pp. 357-370
    • Shan, L.1    Ziarko, W.2
  • 25
    • 0012646033 scopus 로고    scopus 로고
    • New incremental learning algorithm in the framework of rough set theory
    • Bang W, Bien Z,. New incremental learning algorithm in the framework of rough set theory. Int J Fuzzy Syst. 1999; 1: 25-36.
    • (1999) Int J Fuzzy Syst , vol.1 , pp. 25-36
    • Bang, W.1    Bien, Z.2
  • 26
    • 0036955679 scopus 로고    scopus 로고
    • Incremental learning of decision rules based on rough set theory
    • Tong L, An L,. Incremental learning of decision rules based on rough set theory. In: IWCICA2002; 2002. pp 420-425.
    • (2002) IWCICA2002 , pp. 420-425
    • Tong, L.1    An, L.2
  • 27
    • 6344270761 scopus 로고    scopus 로고
    • Incremental induction of decision rules from dominance-based rough approximations
    • Jerzy B, Slowinski R,. Incremental induction of decision rules from dominance-based rough approximations. Electr Notes Theor Comput Sci. 2003; 82: 40-51.
    • (2003) Electr Notes Theor Comput Sci , vol.82 , pp. 40-51
    • Jerzy, B.1    Slowinski, R.2
  • 28
    • 2342664664 scopus 로고    scopus 로고
    • RRIA: A rough set and rule tree based incremental knowledge acquisition algorithm
    • Zheng Z, Wang G,. RRIA: a rough set and rule tree based incremental knowledge acquisition algorithm. Fundam Inf. 2004; 59: 299-313.
    • (2004) Fundam Inf , vol.59 , pp. 299-313
    • Zheng, Z.1    Wang, G.2
  • 29
    • 33645990015 scopus 로고    scopus 로고
    • Incremental attribute reduction based on elementary sets
    • LNAI;3641
    • Hu F, Wang G, Huang H, Wu Y,. Incremental attribute reduction based on elementary sets. In: RSFDGrC2005. LNAI 2005;3641: 185-193.
    • (2005) RSFDGrC2005 , pp. 185-193
    • Hu, F.1    Wang, G.2    Huang, H.3    Wu, Y.4
  • 30
    • 84863123492 scopus 로고    scopus 로고
    • An incremental approach for updating approximations in dominance-based rough sets
    • Chengdu, China
    • Li SY, Li TR, Chen HM, Ji XL,. An incremental approach for updating approximations in dominance-based rough sets. In: Proc 9th Int FLINS Conference, Chengdu, China; 2010. pp 728-733.
    • (2010) Proc 9th Int FLINS Conference , pp. 728-733
    • Li, S.Y.1    Li, T.R.2    Chen, H.M.3    Ji, X.L.4
  • 31
    • 0032093405 scopus 로고    scopus 로고
    • A rough set approach to attribute generalization in data mining
    • Chan CC,. A rough set approach to attribute generalization in data mining. Inf Sci. 1998; 107: 177-194.
    • (1998) Inf Sci , vol.107 , pp. 177-194
    • Chan, C.C.1
  • 32
    • 34248165925 scopus 로고    scopus 로고
    • A rough sets based characteristic relation approach for dynamic attribute generalization in data mining
    • DOI 10.1016/j.knosys.2007.01.002, PII S0950705107000111, Intelligent Knowledge Engineering Systems
    • Li TR, Ruan D, Geert W, Song J, Xu Y,. A rough sets based characteristic relation approach for dynamic attribute generalization in data mining. Knowl-Based Syst. 2007; 20: 485-494. (Pubitemid 46719940)
    • (2007) Knowledge-Based Systems , vol.20 , Issue.5 , pp. 485-494
    • Li, T.1    Ruan, D.2    Geert, W.3    Song, J.4    Xu, Y.5
  • 33
    • 78649779129 scopus 로고    scopus 로고
    • The incremental method for fast computing the rough fuzzy approximations
    • Cheng Y,. The incremental method for fast computing the rough fuzzy approximations. Data Knowl Eng. 2011; 70: 84-100.
    • (2011) Data Knowl Eng , vol.70 , pp. 84-100
    • Cheng, Y.1
  • 35
    • 79551515121 scopus 로고    scopus 로고
    • An approach for incremental updating approximations in variable precision rough sets while attribute generalizing
    • Hangzhou, China
    • Zhang JB, Li TR, Liu D,. An approach for incremental updating approximations in variable precision rough sets while attribute generalizing. In: Proc 2010 IEEE Int Conf on Intelligent Systems and Knowledge Engineering, Hangzhou, China; 2010. pp 77-81.
    • (2010) Proc 2010 IEEE Int Conf on Intelligent Systems and Knowledge Engineering , pp. 77-81
    • Zhang, J.B.1    Li, T.R.2    Liu, D.3
  • 36
    • 77956936931 scopus 로고    scopus 로고
    • A rough set based dynamic maintenance approach for approximations in coarsening and refining attribute values
    • Chen HM, Li TR, Qiao SJ, Ruan D,. A rough set based dynamic maintenance approach for approximations in coarsening and refining attribute values. Int J Intell Syst. 2010; 25: 1005-1026.
    • (2010) Int J Intell Syst , vol.25 , pp. 1005-1026
    • Chen, H.M.1    Li, T.R.2    Qiao, S.J.3    Ruan, D.4
  • 37
    • 70449886660 scopus 로고    scopus 로고
    • An incremental approach for inducing interesting knowledge based on the change of attribute values
    • Nanchang, China
    • Liu D, Li TR, Liu GR, Hu P,. An incremental approach for inducing interesting knowledge based on the change of attribute values. In: Proc 2009 Ieee Int Conf On Granular Computing, Nanchang, China; 2009. pp 415-418.
    • (2009) Proc 2009 Ieee Int Conf on Granular Computing , pp. 415-418
    • Liu, D.1    Li, T.R.2    Liu, G.R.3    Hu, P.4
  • 38
    • 84863178098 scopus 로고    scopus 로고
    • An incremental approach for rule induction under coarsening and refining of attribute values in e-business Systems
    • Liu D, Li TR, Zhang JB,. An incremental approach for rule induction under coarsening and refining of attribute values in e-business Systems. In: Proc 2010 Int Conf on Electronic-Business Intelligence; 2010. pp 541-547.
    • (2010) Proc 2010 Int Conf on Electronic-Business Intelligence , pp. 541-547
    • Liu, D.1    Li, T.R.2    Zhang, J.B.3
  • 40
    • 33745834241 scopus 로고    scopus 로고
    • University of California, Department of Information and Computer Science, Irvine, CA. Available at. Accessed Oct 20 2010
    • Newman DJ, Hettich S, Blake CL, Merz CJ,. UCI repository of machine learning databases, University of California, Department of Information and Computer Science, Irvine, CA, 1998. Available at. Accessed Oct 20, 2010.
    • (1998) UCI Repository of Machine Learning Databases
    • Newman, D.J.1    Hettich, S.2    Blake, C.L.3    Merz, C.J.4
  • 41
    • 33749668975 scopus 로고    scopus 로고
    • Rough sets and Boolean reasoning
    • DOI 10.1016/j.ins.2006.06.007, PII S0020025506001502
    • Pawlak Z, Skowron A,. Rough sets and boolean reasoning. Inf Sci. 2007; 177: 41-73. (Pubitemid 44556700)
    • (2007) Information Sciences , vol.177 , Issue.1 , pp. 41-73
    • Pawlak, Z.1    Skowron, A.2
  • 42
    • 38049075157 scopus 로고    scopus 로고
    • Incremental learning and evaluation of structures of rough decision tables
    • Ziarko W,. Incremental learning and evaluation of structures of rough decision tables. Trans Rough Sets. 2005; IV: 162-177.
    • (2005) Trans Rough Sets , vol.4 , pp. 162-177
    • Ziarko, W.1


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