Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Patricia C. Arocena"'
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
Autor:
Giansalvatore Mecca, Patricia C. Arocena, Renée J. Miller, Donatello Santoro, Paolo Papotti, Boris Glavic
Publikováno v:
Scopus-Elsevier
We study the problem of introducing errors into clean databases for the purpose of benchmarking data-cleaning algorithms. Our goal is to provide users with the highest possible level of control over the error-generation process, and at the same time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bad13c1ccb165c1310597e557950c263
https://doi.org/10.14778/2850578.2850579
https://doi.org/10.14778/2850578.2850579
Autor:
Raymond T. Ng, Patricia C. Arocena, Denilson Barbosa, Giuseppe Carenini, Luiz Gomes, Jr., Stephan Jou, Rock Anthony Leung, Evangelos Milios, Renée J. Miller, John Mylopoulos, Rachel A. Pottinger, Frank Tompa, Eric Yu
Publikováno v:
Synthesis Lectures on Data Management. 5:1-163
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b5d239fe17be19f96c05c5ee0b1b796
https://doi.org/10.2200/s00491ed1v01y201303dtm034
https://doi.org/10.2200/s00491ed1v01y201303dtm034
Autor:
Giansalvatore Mecca, Boris Glavic, Patricia C. Arocena, Paolo Papotti, Donatello Santoro, Renée J. Miller
Publikováno v:
SIGMOD Conference
Repairing erroneous or conflicting data that violate a set of constraints is an important problem in data management. Many automatic or semi-automatic data-repairing algorithms have been proposed in the last few years, each with its own strengths and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e65c313bda61f49826911f5808217f35
https://doi.org/10.1145/2882903.2899397
https://doi.org/10.1145/2882903.2899397
Publikováno v:
Proceedings of the VLDB Endowment (PVLDB)
Proceedings of the VLDB Endowment (PVLDB), VLDB Endowment, 2015, 8 (12), pp.1960-1963. ⟨10.14778/2824032.2824111⟩
Proceedings of the VLDB Endowment (PVLDB), 2015, 8 (12), pp.1960-1963. ⟨10.14778/2824032.2824111⟩
Proceedings of the VLDB Endowment (PVLDB), VLDB Endowment, 2015, 8 (12), pp.1960-1963. ⟨10.14778/2824032.2824111⟩
Proceedings of the VLDB Endowment (PVLDB), 2015, 8 (12), pp.1960-1963. ⟨10.14778/2824032.2824111⟩
International audience; Integration systems are typically evaluated using a few real-world scenarios (e.g., bibliographical or biological datasets) or using synthetic scenarios (e.g., based on star-schemas or other patterns for schemas and constraint
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea9950726064ec9bfcc2f16224c2cf22
https://hal.inria.fr/hal-01187990
https://hal.inria.fr/hal-01187990
Autor:
Raymond T. Ng, Patricia C. Arocena, Denilson Barbosa, Giuseppe Carenini, Luiz Gomes, Stephan Jou, Anthony Leung, Evangelos Milios, Renée J. Miller, John Mylopoulos, Rachel A Pottinger, Frank Tompa, Eric Yu
In the 1980s, traditional Business Intelligence (BI) systems focused on the delivery of reports that describe the state of business activities in the past, such as for questions like'How did our sales perform during the last quarter?'A decade later,
Publikováno v:
SIGMOD Conference
The creation of values to represent incomplete information, often referred to as value invention, is central in data exchange. Within schema mappings, Skolem functions have long been used for value invention as they permit a precise representation of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b988b9111a90bd96675003156ee633c0
https://doi.org/10.1145/2463676.2465311
https://doi.org/10.1145/2463676.2465311
Publikováno v:
Synthesis Lectures on Data Management ISBN: 9783031007200
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0890b51d7d30381b9357eabb58553713
https://doi.org/10.1007/978-3-031-01848-0_4
https://doi.org/10.1007/978-3-031-01848-0_4
Publikováno v:
Lecture Notes in Business Information Processing
Lecture Notes in Business Information Processing ISBN: 9783642398711
BIRTE
Lecture Notes in Business Information Processing ISBN: 9783642398711
BIRTE
In the new era of Business Intelligence (BI) technology, transforming massive amounts of data into high-quality business information is essential. To achieve this, two non-overlapping worlds need to be aligned: the Information Technology (IT) world,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d88e4b1158e217c9f33068a553b74451
Publikováno v:
ICDT
Schema mapping composition is a fundamental operation in schema management and data exchange. The mapping composition problem has been extensively studied for a number of mapping languages, most notably source-to-target tuple-generating dependencies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b5b8d53f64aef53f16378cd993ee70b
https://doi.org/10.1145/1804669.1804696
https://doi.org/10.1145/1804669.1804696