Disk based pay-as-you-go record linkage

Front. Comput. Sci. ›› 2022, Vol. 16 ›› Issue (4) : 164340 DOI: 10.1007/s11704-021-1130-1

Artificial Intelligence

LETTER

Author information +

History +

PDF (662KB)

Download citation ▾

Chenchen SUN, Derong SHEN. Disk based pay-as-you-go record linkage. Front. Comput. Sci., 2022, 16(4): 164340 DOI:10.1007/s11704-021-1130-1

登录浏览全文

4963

Publishing order | Descend order by publishing year | Descend order by cited within

[1]	Hou B , Chen Q , Chen Z , Nafa Y , Li Z . r-HUMO: a risk-aware human-machine cooperation framework for entity resolution with quality guarantees. IEEE Transactions on Knowledge and Data Engineering, 2020, 32( 2): 347– 359

[2]	Christen P. Automatic record linkage using seeded nearest neighbour and support vector machine classification. In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2008, 151– 159

[3]	Whang S E , Marmaros D , Garcia-Molina H . Pay-as-you-go entity resolution. IEEE Transactions on Knowledge and Data Engineering, 2013, 25( 5): 1111– 1124

[4]	Papenbrock T , Heise A , Naumann F . Progressive duplicate detection. IEEE Transactions on Knowledge and Data Engineering, 2015, 27( 5): 1316– 1329

[5]	Sun C C , Shen D R , Li Y K , Xiao Y Y , Ma J H . Research on record pair ranking for entity resolution with time constraint. Journal of Software, 2020, 31( 3): 695– 709

[6]	Altowim Y , Kalashnikov D V , Mehrotra S . Progressive approach to relational entity resolution. Proceedings of the VLDB Endowment, 2014, 7( 11): 999– 1010