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Volumn 34, Issue 1, 2009, Pages

Efficient query processing on graph databases

Author keywords

Frequent subgraphs; Graph databases; Graph indexing; Graph query processing

Indexed keywords

ANSWER SET; FREQUENT SUBGRAPH; FREQUENT SUBGRAPHS; GRAPH DATABASE; GRAPH DATABASES; GRAPH INDEXING; GRAPH QUERY PROCESSING; MATCHING GRAPH; ORDERS OF MAGNITUDE; SUBGRAPH; SUPERGRAPH; THREE COMPONENT;

EID: 67649202530     PISSN: 03625915     EISSN: 15574644     Source Type: Journal    
DOI: 10.1145/1508857.1508859     Document Type: Article
Times cited : (48)

References (39)
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  • 5
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    • A survey on algorithms for mining frequent patterns over data streams
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  • 10
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    • Issues in data stream management
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  • 17
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    • INOKUCHI, A., WASHIO, T., AND MOTODA, H. 2000. An apriori-based algorithm for mining frequent substructures from graph data. In Proceedings of the European Conference on Principles of Data Mining and Knowledge Discovery (PKDD'00), 13-23.
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    • Efficient correlation search from graph databases
    • KE, Y., CHENG, J., AND NG, W. 2008. Efficient correlation search from graph databases. IEEE Trans. Knowl. Data Eng. 20, 12, 1601-1615.
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  • 34
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    • Graph indexing based on discriminative frequent structure analysis
    • YAN, X., YU, P. S., AND HAN, J. 2005a. Graph indexing based on discriminative frequent structure analysis. ACM Trans. Database Syst. 30, 4, 960-993.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.