메뉴 건너뛰기




Volumn 2013, Issue , 2013, Pages

Parametric rough sets with application to granular association rule mining

Author keywords

[No Author keywords available]

Indexed keywords

COLD-START RECOMMENDATIONS; LOWER APPROXIMATION; MANY-TO-MANY; PERFORMANCE OF RECOMMENDER SYSTEMS; REAL-WORLD; RELATIONAL DATABASE; RULE MINING ALGORITHMS;

EID: 84893832731     PISSN: 1024123X     EISSN: 15635147     Source Type: Journal    
DOI: 10.1155/2013/461363     Document Type: Article
Times cited : (14)

References (48)
  • 3
    • 6344279447 scopus 로고    scopus 로고
    • Multi-relational data mining: An introduction
    • Džeroski S., Multi-relational data mining: an introduction. SIGKDD Explorations 2003 5 1 16
    • (2003) SIGKDD Explorations , vol.5 , pp. 1-16
    • Džeroski, S.1
  • 7
    • 84867951036 scopus 로고    scopus 로고
    • An emotional agent model based on granular computing
    • 601295 10.1155/2012/601295
    • Hu J., Guan C., An emotional agent model based on granular computing. Mathematical Problems in Engineering 2012 2012 10 601295 10.1155/2012/601295
    • (2012) Mathematical Problems in Engineering , vol.2012 , pp. 10
    • Hu, J.1    Guan, C.2
  • 8
    • 0000313665 scopus 로고    scopus 로고
    • Granular computing on binary relations I: Data mining and neighborhoodsystems
    • Lin T. Y., Granular computing on binary relations I: data mining and neighborhoodsystems. Rough Sets in Knowledge Discovery 1998 1 107 121
    • (1998) Rough Sets in Knowledge Discovery , vol.1 , pp. 107-121
    • Lin, T.Y.1
  • 9
    • 0042827801 scopus 로고    scopus 로고
    • Information granulation for web based information retrieval support systems
    • April 2-s2.0-0042827801 10.1117/12.509158
    • Yao J. T., Yao Y. Y., Information granulation for web based information retrieval support systems. 5098 Proceedings of SPIE April 2003 138 146 2-s2.0-0042827801 10.1117/12.509158
    • (2003) Proceedings of SPIE , vol.5098 , pp. 138-146
    • Yao, J.T.1    Yao, Y.Y.2
  • 11
    • 0037621960 scopus 로고    scopus 로고
    • Reduction and axiomization of covering generalized rough sets
    • 2-s2.0-0037621960 10.1016/S0020-0255(03)00056-2
    • Zhu W., Wang F.-Y., Reduction and axiomization of covering generalized rough sets. Information Sciences 2003 152 217 230 2-s2.0-0037621960 10.1016/S0020-0255(03)00056-2
    • (2003) Information Sciences , vol.152 , pp. 217-230
    • Zhu, W.1    Wang, F.-Y.2
  • 12
    • 34548228836 scopus 로고    scopus 로고
    • Generalized rough sets based on relations
    • DOI 10.1016/j.ins.2007.05.037, PII S0020025507002733
    • Zhu W., Generalized rough sets based on relations. Information Sciences 2007 177 22 4997 5011 2-s2.0-34548228836 10.1016/j.ins.2007.05.037 (Pubitemid 47331457)
    • (2007) Information Sciences , vol.177 , Issue.22 , pp. 4997-5011
    • Zhu, W.1
  • 13
    • 79960290370 scopus 로고    scopus 로고
    • Test-cost-sensitive attribute reduction
    • 2-s2.0-79960290370 10.1016/j.ins.2011.07.010
    • Min F., He H., Qian Y., Zhu W., Test-cost-sensitive attribute reduction. Information Sciences 2011 181 22 4928 4942 2-s2.0-79960290370 10.1016/j.ins.2011.07.010
    • (2011) Information Sciences , vol.181 , Issue.22 , pp. 4928-4942
    • Min, F.1    He, H.2    Qian, Y.3    Zhu, W.4
  • 15
    • 0036989477 scopus 로고    scopus 로고
    • Methods and metrics for cold-start recommendations
    • 2-s2.0-0036989477
    • Schein A. I., Popescul A., Ungar L. H., Pennock D. M., Methods and metrics for cold-start recommendations. SIGIR Forum 2002 253 260 2-s2.0-0036989477
    • (2002) SIGIR Forum , pp. 253-260
    • Schein, A.I.1    Popescul, A.2    Ungar, L.H.3    Pennock, D.M.4
  • 17
    • 0031103679 scopus 로고    scopus 로고
    • Content-based, collaborative recommendation
    • Balabanović M., Shoham Y., Content-based, collaborative recommendation. Communications of the ACM 1997 40 3 66 72 2-s2.0-0031103679 (Pubitemid 127441133)
    • (1997) Communications of the ACM , vol.40 , Issue.3 , pp. 66-72
    • Balabanovic, M.1    Shoham, Y.2
  • 18
    • 20844435854 scopus 로고    scopus 로고
    • Toward the next generation of recommender systems: A survey of the state-Of-The-Art and possible extensions
    • DOI 10.1109/TKDE.2005.99
    • Adomavicius G., Tuzhilin A., Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering 2005 17 6 734 749 2-s2.0-20844435854 10.1109/TKDE.2005.99 (Pubitemid 40860454)
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , Issue.6 , pp. 734-749
    • Adomavicius, G.1    Tuzhilin, A.2
  • 19
    • 0036959356 scopus 로고    scopus 로고
    • Hybrid recommender systems: Survey and experiments
    • 2-s2.0-0036959356 10.1023/A:1021240730564
    • Burke R., Hybrid recommender systems: survey and experiments. User Modelling and User-Adapted Interaction 2002 12 4 331 370 2-s2.0-0036959356 10.1023/A:1021240730564
    • (2002) User Modelling and User-Adapted Interaction , vol.12 , Issue.4 , pp. 331-370
    • Burke, R.1
  • 20
    • 84876476214 scopus 로고    scopus 로고
    • The design and implementationof an intelligent apparel recommend expert system
    • 343171 10.1155/2013/343171
    • Dong A. H., Shan D., Ruan Z., Zhou L. Y., Zuo F., The design and implementationof an intelligent apparel recommend expert system. Mathematical Problemsin Engineering 2013 2013 8 343171 10.1155/2013/343171
    • (2013) Mathematical Problemsin Engineering , vol.2013 , pp. 8
    • Dong, A.H.1    Shan, D.2    Ruan, Z.3    Zhou, L.Y.4    Zuo, F.5
  • 22
    • 67349152755 scopus 로고    scopus 로고
    • Relationship among basic concepts in covering-based rough sets
    • 2-s2.0-67349152755 10.1016/j.ins.2009.02.013
    • Zhu W., Relationship among basic concepts in covering-based rough sets. Information Sciences 2009 179 14 2478 2486 2-s2.0-67349152755 10.1016/j.ins.2009.02.013
    • (2009) Information Sciences , vol.179 , Issue.14 , pp. 2478-2486
    • Zhu, W.1
  • 23
    • 84871564106 scopus 로고    scopus 로고
    • A granular computing paradigm for concept learning
    • Berlin, Germany Springer
    • Yao Y. Y., Deng X. F., A granular computing paradigm for concept learning. Emerging Paradigms in Machine Learning 2013 13 Berlin, Germany Springer 307 326
    • (2013) Emerging Paradigms in Machine Learning , vol.13 , pp. 307-326
    • Yao, Y.Y.1    Deng, X.F.2
  • 24
    • 57949114534 scopus 로고    scopus 로고
    • Recent developments in granular computing: A bibliometrics study
    • August 2-s2.0-57949114534 10.1109/GRC.2008.4664798
    • Yao J., Recent developments in granular computing: a bibliometrics study. Proceedings of the IEEE International Conference on Granular Computing (GRC '08) August 2008 74 79 2-s2.0-57949114534 10.1109/GRC.2008.4664798
    • (2008) Proceedings of the IEEE International Conference on Granular Computing (GRC '08) , pp. 74-79
    • Yao, J.1
  • 26
    • 22644450056 scopus 로고    scopus 로고
    • Discovery of frequent datalog patterns
    • 2-s2.0-22644450056
    • Dehaspe L., Toivonen H., Discovery of frequent datalog patterns. Expert Systems with Applications 1999 3 1 7 36 2-s2.0-22644450056
    • (1999) Expert Systems with Applications , vol.3 , Issue.1 , pp. 7-36
    • Dehaspe, L.1    Toivonen, H.2
  • 28
    • 0027543613 scopus 로고
    • Variable precision rough set model
    • DOI 10.1016/0022-0000(93)90048-2
    • Ziarko W., Variable precision rough set model. Journal of Computer and System Sciences 1993 46 1 39 59 2-s2.0-0027543613 10.1016/0022-0000(93)90048-2 (Pubitemid 23639120)
    • (1993) Journal of Computer and System Sciences , vol.46 , Issue.1 , pp. 39-59
    • Ziarko Wojciech1
  • 29
    • 35748956126 scopus 로고    scopus 로고
    • Rough fuzzy approximations on two universes of discourse
    • DOI 10.1016/j.ins.2007.09.006, PII S0020025507004288, Ambient Intelligence
    • Li T. J., Zhang W. X., Rough fuzzy approximations on two universes of discourse. Information Sciences 2008 178 3 892 906 2-s2.0-35748956126 10.1016/j.ins.2007.09.006 (Pubitemid 350050972)
    • (2008) Information Sciences , vol.178 , Issue.3 , pp. 892-906
    • Li, T.-J.1    Zhang, W.-X.2
  • 30
    • 75849161096 scopus 로고    scopus 로고
    • Rough set theory based on two universal sets and its applications
    • 2-s2.0-75849161096 10.1016/j.knosys.2009.06.011
    • Liu G., Rough set theory based on two universal sets and its applications. Knowledge-Based Systems 2010 23 2 110 115 2-s2.0-75849161096 10.1016/j.knosys.2009.06.011
    • (2010) Knowledge-Based Systems , vol.23 , Issue.2 , pp. 110-115
    • Liu, G.1
  • 31
    • 0004711899 scopus 로고
    • Interval structure: A framework for representinguncertain information
    • Wong S., Wang L., Yao Y. Y., Interval structure: a framework for representinguncertain information. Uncertainty in Artificial Intelligence 1993 336 343
    • (1993) Uncertainty in Artificial Intelligence , pp. 336-343
    • Wong, S.1    Wang, L.2    Yao, Y.Y.3
  • 35
    • 0029309938 scopus 로고
    • On modelling uncertainty with interval structures
    • 2-s2.0-0029309938
    • Wong S. K. M., Wang L. S., Yao Y. Y., On modelling uncertainty with interval structures. Computational Intelligence 1995 12 2 406 426 2-s2.0-0029309938
    • (1995) Computational Intelligence , vol.12 , Issue.2 , pp. 406-426
    • Wong, S.K.M.1    Wang, L.S.2    Yao, Y.Y.3
  • 36
    • 0002608174 scopus 로고
    • A decision theoretic framework for approximating concepts
    • 2-s2.0-0002608174
    • Yao Y. Y., Wong S. K. M., A decision theoretic framework for approximating concepts. International Journal of Man-Machine Studies 1992 37 6 793 809 2-s2.0-0002608174
    • (1992) International Journal of Man-Machine Studies , vol.37 , Issue.6 , pp. 793-809
    • Yao, Y.Y.1    Wong, S.K.M.2
  • 37
    • 80054069045 scopus 로고    scopus 로고
    • Attribute reduction in decision-theoreticrough set model: A further investigation
    • Lecture Notes in Computer Science
    • Li H. X., Zhou X. Z., Zhao J. B., Liu D., Attribute reduction in decision-theoreticrough set model: a further investigation. 6954 Proceedings of the Rough Sets and KnowledgeTechnology 2011 466 475 Lecture Notes in Computer Science
    • (2011) Proceedings of the Rough Sets and KnowledgeTechnology , vol.6954 , pp. 466-475
    • Li, H.X.1    Zhou, X.Z.2    Zhao, J.B.3    Liu, D.4
  • 38
    • 79957597759 scopus 로고    scopus 로고
    • Probabilistic model criteria with decision-theoretic rough sets
    • 2-s2.0-79957597759 10.1016/j.ins.2011.04.039
    • Liu D., Li T., Ruan D., Probabilistic model criteria with decision-theoretic rough sets. Information Sciences 2011 181 17 3709 3722 2-s2.0-79957597759 10.1016/j.ins.2011.04.039
    • (2011) Information Sciences , vol.181 , Issue.17 , pp. 3709-3722
    • Liu, D.1    Li, T.2    Ruan, D.3
  • 39
    • 84867583002 scopus 로고    scopus 로고
    • Minimum cost attribute reductionin decision-theoretic rough set models
    • 10.1016/j.ins.2012.07.010
    • Jia X. Y., Liao W. H., Tang Z. M., Shang L., Minimum cost attribute reductionin decision-theoretic rough set models. Information Sciences 2013 219 151 167 10.1016/j.ins.2012.07.010
    • (2013) Information Sciences , vol.219 , pp. 151-167
    • Jia, X.Y.1    Liao, W.H.2    Tang, Z.M.3    Shang, L.4
  • 40
    • 78851472100 scopus 로고    scopus 로고
    • Three-way investment decisions with decision-theoretic rough sets
    • 2-s2.0-78851472100
    • Liu D., Yao Y., Li T., Three-way investment decisions with decision-theoretic rough sets. International Journal of Computational Intelligence Systems 2011 4 1 66 74 2-s2.0-78851472100
    • (2011) International Journal of Computational Intelligence Systems , vol.4 , Issue.1 , pp. 66-74
    • Liu, D.1    Yao, Y.2    Li, T.3
  • 41
    • 45849092954 scopus 로고    scopus 로고
    • Attribute reduction in decision-theoretic rough set models
    • 2-s2.0-45849092954 10.1016/j.ins.2008.05.010
    • Yao Y., Zhao Y., Attribute reduction in decision-theoretic rough set models. Information Sciences 2008 178 17 3356 3373 2-s2.0-45849092954 10.1016/j.ins.2008.05.010
    • (2008) Information Sciences , vol.178 , Issue.17 , pp. 3356-3373
    • Yao, Y.1    Zhao, Y.2
  • 43
    • 84858798041 scopus 로고    scopus 로고
    • Probabilistic rough set over two universes and rough entropy
    • 2-s2.0-84858798041 10.1016/j.ijar.2011.12.010
    • Ma W., Sun B., Probabilistic rough set over two universes and rough entropy. International Journal of Approximate Reasoning 2012 53 4 608 619 2-s2.0-84858798041 10.1016/j.ijar.2011.12.010
    • (2012) International Journal of Approximate Reasoning , vol.53 , Issue.4 , pp. 608-619
    • Ma, W.1    Sun, B.2
  • 45
    • 0000319276 scopus 로고    scopus 로고
    • Generalization of rough sets using modal logic
    • 10.1080/10798587.1996.10750660
    • Yao Y. Y., Lin T. Y., Generalization of rough sets using modal logic. Intelligent Automation and Soft Computing 1996 2 103 120 10.1080/10798587.1996. 10750660
    • (1996) Intelligent Automation and Soft Computing , vol.2 , pp. 103-120
    • Yao, Y.Y.1    Lin, T.Y.2
  • 47
    • 55649108414 scopus 로고    scopus 로고
    • Rough sets approach to symbolic value partition
    • 2-s2.0-55649108414 10.1016/j.ijar.2008.07.002
    • Min F., Liu Q., Fang C., Rough sets approach to symbolic value partition. International Journal of Approximate Reasoning 2008 49 3 689 700 2-s2.0-55649108414 10.1016/j.ijar.2008.07.002
    • (2008) International Journal of Approximate Reasoning , vol.49 , Issue.3 , pp. 689-700
    • Min, F.1    Liu, Q.2    Fang, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.