HEPTOX: Marrying XML and Heterogeneity in Your P2P Databases

Autor: Bonifati Angela, Chang Elaine, Ho Terence, Lakshmanan Laks V.S., Pottinger Rachel

Publikováno v: Very Large DataBases (VLDB), Trondheim, 2005
info:cnr-pdr/source/autori:Bonifati Angela, Chang Elaine, Ho Terence, Lakshmanan Laks V.S., Pottinger Rachel/congresso_nome:Very Large DataBases (VLDB)/congresso_luogo:Trondheim/congresso_data:2005/anno:2005/pagina_da:/pagina_a:/intervallo_pagine

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::1df8c90c2e8bde306f4287ee68fcb407
https://publications.cnr.it/doc/77470

Modeling impression discounting in large-scale recommender systems.

Autor: Lee, Pei, Lakshmanan, Laks V.S., Tiwari, Mitul, Shah, Sam

Publikováno v: Proceedings of the 20th ACM SIGKDD International Conference Knowledge Discovery & Data Mining; 8/24/2014, p1837-1846, 10p

Optimal recommendations under attraction, aversion, and social influence.

Autor: Lu, Wei, Ioannidis, Stratis, Bhagat, Smriti, Lakshmanan, Laks V.S.

Publikováno v: Proceedings of the 20th ACM SIGKDD International Conference Knowledge Discovery & Data Mining; 8/24/2014, p811-820, 10p

KeySee.

Autor: Lee, Pei, Lakshmanan, Laks V.S., Milios, Evangelos

Publikováno v: Proceedings of the 19th ACM SIGKDD International Conference Knowledge Discovery & Data Mining; 8/11/2013, p1478-1481, 4p

Validating Network Value of Influencers by Means of Explanations.

Autor: Bevilacqua, Glenn S., Clare, Shealen, Goyal, Amit, Lakshmanan, Laks V.S.

Publikováno v: 2013 IEEE 13th International Conference on Data Mining; 2013, p967-972, 6p