Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Fatemeh Nargesian"'
Autor:
Abolfazl Asudeh, Fatemeh Nargesian
Publikováno v:
Proceedings of the VLDB Endowment. 15:3137-3144
Addressing the increasing demand for data exchange has led to the development of data markets that facilitate transactional interactions between data buyers and data sellers. Still, cost-effective and distribution-aware query answering is a substanti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95b0a466be3807c2a42954f69847cd4a
https://doi.org/10.14778/3551793.3551858
https://doi.org/10.14778/3551793.3551858
Publikováno v:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5042fb74aeed081f7bfec6ae72b4857e
https://doi.org/10.1145/3511808.3557166
https://doi.org/10.1145/3511808.3557166
Autor:
Bahar Ghadiri Bashardoost, Ken Q. Pu, Aidan Sciortino, Paul Ouellette, Renée J. Miller, Erkang Zhu, Fatemeh Nargesian
Publikováno v:
Proceedings of the VLDB Endowment. 14:2863-2866
Dataset discovery can be performed using search (with a query or keywords) to find relevant data. However, the result of this discovery can be overwhelming to explore. Existing navigation techniques mostly focus on linkage graphs that enable navigati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c98b5dfb5d2dc9a29854bdde619e903
https://doi.org/10.14778/3476311.3476364
https://doi.org/10.14778/3476311.3476364
Publikováno v:
Proceedings of the VLDB Endowment. 14:2519-2532
Data scientists often develop data sets for analysis by drawing upon sources of data available to them. A major challenge is to ensure that the data set used for analysis has an appropriate representation of relevant (demographic) groups: it meets de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a3320236913d223c7fd1c0c03c91ea2
https://doi.org/10.14778/3476249.3476299
https://doi.org/10.14778/3476249.3476299
Publikováno v:
Proceedings of the VLDB Endowment. 13:2018-2032
We introduce Kensho, a tool for generating mapping rules between two Knowledge Bases (KBs). To create the mapping rules, Kensho starts with a set of correspondences and enriches them with additional semantic information automatically identified from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b808dd770e88df1c8653e806ed66b41
https://doi.org/10.14778/3407790.3407806
https://doi.org/10.14778/3407790.3407806
A climate network represents the global climate system by the interactions of a set of anomaly time-series. Network science has been applied on climate data to study the dynamics of a climate network. The core task and first step to enable interactiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bb8d252ac02a902cdf0ae5ea723c859
Publikováno v:
Proceedings of the VLDB Endowment. 12:1986-1989
The ubiquity of data lakes has created fascinating new challenges for data management research. In this tutorial, we review the state-of-the-art in data management for data lakes. We consider how data lakes are introducing new problems including data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2dc911da66c5dbdccc86d874c4212e6
https://doi.org/10.14778/3352063.3352116
https://doi.org/10.14778/3352063.3352116
Publikováno v:
SIGMOD Conference
We consider the problem of creating an effective navigation structure over a data lake. We define an organization as a navigation graph that contains nodes representing sets of attributes within a data lake and edges indicating subset relationships a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6082b2a5bad7bf7ed399bd1e8825538f
https://doi.org/10.1145/3318464.3380605
https://doi.org/10.1145/3318464.3380605
Publikováno v:
Proceedings of the VLDB Endowment. 11:813-825
We define the table union search problem and present a probabilistic solution for finding tables that are unionable with a query table within massive repositories. Two tables are unionable if they share attributes from the same domain. Our solution f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78cc7db6f817b318a934bac836138638
https://doi.org/10.14778/3192965.3192973
https://doi.org/10.14778/3192965.3192973
Publikováno v:
Proceedings of the VLDB Endowment. 10:1837-1840
We developed T oronto O pen D ata S earch to support the ad hoc , interactive discovery of connections or linkages between datasets. It can be used to efficiently navigate through the open data cloud. Our system consists of three parts: a user-interf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3923e5b04a1577831164538a0b29e198
https://doi.org/10.14778/3137765.3137788
https://doi.org/10.14778/3137765.3137788