메뉴 건너뛰기




Volumn 23, Issue 7, 2011, Pages 1022-1034

Higher order Naïve bayes: A novel non-IID approach to text classification

Author keywords

IID.; Machine learning; nave bayes; statistical relational learning; text classification

Indexed keywords

IID.; MACHINE-LEARNING; NAVE BAYES; STATISTICAL RELATIONAL LEARNING; TEXT CLASSIFICATION;

EID: 80054909897     PISSN: 10414347     EISSN: None     Source Type: Journal    
DOI: 10.1109/TKDE.2010.160     Document Type: Article
Times cited : (45)

References (32)
  • 2
    • 33746689579 scopus 로고    scopus 로고
    • Link mining: A survey
    • L. Getoor and C.P. Diehl, "Link Mining: A Survey," SIGKDDExplorations, vol. 7, no. 2, pp. 3-12, 2005.
    • (2005) SIGKDD Explorations , vol.7 , Issue.2 , pp. 3-12
    • Getoor, L.1    Diehl, C.P.2
  • 4
    • 33750309516 scopus 로고    scopus 로고
    • Graph-based text classification:Learn from your neighbors
    • R. Angelova and G. Weikum, "Graph-Based Text Classification: Learn from Your Neighbors," Proc. ACM SIGIR '06, 2006.
    • (2006) Proc. ACM SIGIR '06
    • Angelova, R.1    Weikum, G.2
  • 5
    • 0032090684 scopus 로고    scopus 로고
    • Enhanced hypertext categorization using hyperlinks
    • S. Chakrabarti, B. Dom, and P. Indyk, "Enhanced Hypertext Classification Using Hyper-Links," Proc. ACM SIGMOD '98,pp. 307-318, 1998. (Pubitemid 128655978)
    • (1998) SIGMOD Record , vol.27 , Issue.2 , pp. 307-318
    • Chakrabarti, S.1    Dom, B.2    Indyk, P.3
  • 13
    • 0002419948 scopus 로고    scopus 로고
    • Beyond independence: Conditionsfor the optimality of the simple bayesian classifier
    • P. Domingos and M. Pazzani, "Beyond Independence: Conditionsfor the Optimality of the Simple Bayesian Classifier," Proc. Int'lConf. Machine Learning (ICML '96), pp. 105-112, 1996.
    • (1996) Proc. Int'lConf. Machine Learning (ICML '96) , pp. 105-112
    • Domingos, P.1    Pazzani, M.2
  • 14
    • 14844351034 scopus 로고    scopus 로고
    • Not so naive Bayes: Aggregating one-dependence estimators
    • DOI 10.1007/s10994-005-4258-6
    • G.I. Webb, J.R. Boughton, and Z. Wang, "Not So Naive Bayes:Aggregating One-Dependence Estimators," Machine Learning,vol. 58, no. 1, pp. 5-24, 2005. (Pubitemid 40356736)
    • (2005) Machine Learning , vol.58 , Issue.1 , pp. 5-24
    • Webb, G.I.1    Boughton, J.R.2    Wang, Z.3
  • 17
    • 0001673996 scopus 로고    scopus 로고
    • A comparison of event modelsfor naive bayes text classification
    • Also TechnicalReport WS-98-05, 1998
    • A.K. McCallum and K. Nigam, "A Comparison of Event Modelsfor Naive Bayes Text Classification," Proc. AAAI/ICML-98 WorkshopLearning for Text Categorization, pp. 41-48, 1998, also TechnicalReport WS-98-05, 1998.
    • (1998) Proc. AAAI/ICML-98 Workshop Learning for Text Categorization , pp. 41-48
    • McCallum, A.K.1    Nigam, K.2
  • 21
    • 0000806922 scopus 로고    scopus 로고
    • Automatingthe construction of internet portals with machine learning
    • A.K. McCallum, K. Nigam, J. Rennie, and K. Seymore, "Automatingthe Construction of Internet Portals with MachineLearning," Information Retrieval, vol. 3, pp. 127-163, 2000.
    • (2000) Information Retrieval , vol.3 , pp. 127-163
    • McCallum, A.K.1    Nigam, K.2    Rennie, J.3    Seymore, K.4
  • 23
    • 38049116663 scopus 로고    scopus 로고
    • Technical Report CS-TR-4858, Univ. of Maryland, Feb
    • P. Sen and L. Getoor, "Link-Based Classification," TechnicalReport CS-TR-4858, Univ. of Maryland, Feb. 2007.
    • (2007) Link-Based Classification
    • Sen, P.1    Getoor, L.2
  • 24
    • 0024031265 scopus 로고    scopus 로고
    • Migraine and magnesium: Eleven neglected connections
    • D.R. Swanson, "Migraine and Magnesium: Eleven NeglectedConnections, " Perspectives in Biology and Medicine, vol. 31, no. 4,pp. 526-557, 1998.
    • (1998) Perspectives in Biology and Medicine , vol.31 , Issue.4 , pp. 526-557
    • Swanson, D.R.1
  • 26
    • 0010253845 scopus 로고    scopus 로고
    • Improving short-text classification using unlabeled background knowledge to assess document similarity
    • S. Zelikovitz and H. Hirsh, "Improving Short-Text ClassificationUsing Unlabeled Background Knowledge to Assess DocumentSimilarity," Proc. Int'l Conf. Machine Learning (ICML '00), pp. 1183-1190, 2000.
    • (2000) Proc. Int'l Conf. Machine Learning (ICML '00) , pp. 1183-1190
    • Zelikovitz, S.1    Hirsh, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.