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Volumn 17, Issue 5-6, 2003, Pages 375-381

Data preparation for data mining

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; DATABASE SYSTEMS; ENCODING (SYMBOLS); FEATURE EXTRACTION; INTELLIGENT AGENTS; ITERATIVE METHODS; MULTI AGENT SYSTEMS; SEMANTICS; WEBSITES;

EID: 0242666971     PISSN: 08839514     EISSN: 10876545     Source Type: Journal    
DOI: 10.1080/713827180     Document Type: Article
Times cited : (359)

References (13)
  • 2
    • 0242498488 scopus 로고    scopus 로고
    • An analysis of four missing data treatment methods for supervised learning
    • Batista, G., and M. Monard. 2003. An analysis of four missing data treatment methods for supervised learning. Applied Artificial Intelligence 17(5-6):519-533.
    • (2003) Applied Artificial Intelligence , vol.17 , Issue.5-6 , pp. 519-533
    • Batista, G.1    Monard, M.2
  • 3
    • 0242415244 scopus 로고    scopus 로고
    • A feature selection Bayesian approach for extracting classification rules with a clustering genetic algorithm
    • Hruschka, E., Jr., E. Hruschka, and N. Ebecken. 2003. A feature selection Bayesian approach for extracting classification rules with a clustering genetic algorithm. Applied Artificial Intelligence 17(5-6):489-506.
    • (2003) Applied Artificial Intelligence , vol.17 , Issue.5-6 , pp. 489-506
    • Hruschka, E.1    Hruschka, E.2    Ebecken, N.3
  • 4
    • 0242628996 scopus 로고    scopus 로고
    • Cooperative strategy for Web data mining and cleaning
    • Li, Y., C. Zhang, and S. Zhang. 2003. Cooperative strategy for Web data mining and cleaning. Applied Artificial Intelligence 17(5-6):443-460.
    • (2003) Applied Artificial Intelligence , vol.17 , Issue.5-6 , pp. 443-460
    • Li, Y.1    Zhang, C.2    Zhang, S.3
  • 5
    • 0242498509 scopus 로고    scopus 로고
    • Feature selection for the Naive Bayesian classifier using decision trees
    • Ratanamahatana, C., and D. Gunopulos. 2003. Feature selection for the Naive Bayesian classifier using decision trees. Applied Artificial Intelligence 17(5-6):475-487.
    • (2003) Applied Artificial Intelligence , vol.17 , Issue.5-6 , pp. 475-487
    • Ratanamahatana, C.1    Gunopulos, D.2
  • 6
    • 0242582965 scopus 로고    scopus 로고
    • Summarization and categorization of text data in high level data cleaning for information retrieval
    • Saravanan, M., P. Reghu Raj, and S. Raman. 2003. Summarization and categorization of text data in high level data cleaning for information retrieval. Applied Artificial Intelligence 17(5-6):461-474.
    • (2003) Applied Artificial Intelligence , vol.17 , Issue.5-6 , pp. 461-474
    • Saravanan, M.1    Reghu Raj, P.2    Raman, S.3
  • 7
    • 0242544037 scopus 로고    scopus 로고
    • A pre-processing method to deal with missing values by integrating clustering and regression techniques
    • Tseng, S., K. Wang, and C. Lee. 2003. A pre-processing method to deal with missing values by integrating clustering and regression techniques. Applied Artificial Intelligence 17(5-6):535-544.
    • (2003) Applied Artificial Intelligence , vol.17 , Issue.5-6 , pp. 535-544
    • Tseng, S.1    Wang, K.2    Lee, C.3
  • 8
    • 0242544039 scopus 로고    scopus 로고
    • Pre-processing of high-dimensional categorical predictors in classification settings
    • Tuv, E., and G. Runger. 2003. Pre-processing of high-dimensional categorical predictors in classification settings. Applied Artificial Intelligence 17(5-6):419-429.
    • (2003) Applied Artificial Intelligence , vol.17 , Issue.5-6 , pp. 419-429
    • Tuv, E.1    Runger, G.2
  • 9
    • 0242544038 scopus 로고    scopus 로고
    • Towards databases mining: Pre-processing collected data
    • Yan, X., C. Zhang, and S. Zhang. 2003. Towards databases mining: Pre-processing collected data. Applied Artificial Intelligence 17(5-6):545-561.
    • (2003) Applied Artificial Intelligence , vol.17 , Issue.5-6 , pp. 545-561
    • Yan, X.1    Zhang, C.2    Zhang, S.3
  • 10
    • 0242460526 scopus 로고    scopus 로고
    • Web-log cleaning for constructing sequential classifiers
    • Yang, Q., T. Li, and K. Wang. 2003. Web-log cleaning for constructing sequential classifiers. Applied Artificial Intelligence 17(5-6):431-441.
    • (2003) Applied Artificial Intelligence , vol.17 , Issue.5-6 , pp. 431-441
    • Yang, Q.1    Li, T.2    Wang, K.3
  • 11
    • 0042823817 scopus 로고    scopus 로고
    • Association Rules Mining: Models and Algorithms
    • Springer-Verlag
    • Zhang, C., and S. Zhang. 2002. Association Rules Mining: Models and Algorithms. In Lecture Notes in Artificial Intelligence, volume 2307, page 243, Springer-Verlag.
    • (2002) Lecture Notes in Artificial Intelligence , vol.2307 , pp. 243
    • Zhang, C.1    Zhang, S.2
  • 12
    • 0242713058 scopus 로고    scopus 로고
    • Numeric mapping and learnability of Nave Bayes
    • Zhang, H., and C. Ling. 2003. Numeric mapping and learnability of Nave Bayes. Applied Artificial Intelligence 17(5-6):507-518.
    • (2003) Applied Artificial Intelligence , vol.17 , Issue.5-6 , pp. 507-518
    • Zhang, H.1    Ling, C.2
  • 13
    • 0242460527 scopus 로고    scopus 로고
    • An agent-based hybrid framework for database mining
    • Zhang, Z., C. Zhang, and S. Zhang. 2003. An agent-based hybrid framework for database mining. Applied Artificial Intelligence 17(5-6):383-398.
    • (2003) Applied Artificial Intelligence , vol.17 , Issue.5-6 , pp. 383-398
    • Zhang, Z.1    Zhang, C.2    Zhang, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.