Dear all,
Next week, we have the pleasure of having Prof. Yael Amsterdamer give a talk in the colloquium.
The seminar will be held on Monday, July 1st at 14:00. Location: C221.
The title, abstract and bio appear below.
Looking forward to seeing you, Sagie and Liat
*Title:* Active Data Cleaning
*Abstract:*
We take an active approach to the cleaning of uncertain databases, by proposing a set of tools to guide the cleaning process. We start with a database whose tuple correctness is uncertain, and with some means of resolving this uncertainty, e.g., crowdsourcing, experts, a trained ML model or external sources. Guided by a query that defines what part of the data is of importance, our goal is to select tuples whose cleaning would effectively resolve uncertainty in query results. In other words, we develop a query-guided process for the resolution of uncertain data. Our approach combines techniques from different fields, including the use of provenance information to capture the propagation of errors to query results, Boolean interactive evaluation to decide which input tuples to clean based on their role in output derivation, and active learning to estimate the probability of errors.
*Bio*:
Yael Amsterdamer is a Professor at the Department of Computer Science, Bar-Ilan University, and the head of the Data Management Lab. She received her Ph.D. in Computer Science from Tel-Aviv University, and has been a visiting Scholar at the University of Pennsylvania, Philadelphia, PA and jointly at Télécom Paris and INRIA institute (Paris, France). Her research is in the field of interactive data management spanning topics such as crowd-powered data management, interactive summarization and data cleaning. Her research was awarded multiple competitive grants including the Israeli Science Foundation (ISF) personal grants, the Israeli Ministry of Science (MOST) grant, and the BIU Center for Research in Applied Cryptography and Cyber Security Personal Grant. Her research is published in top venues of her field and she continually serves in roles such as area chair and demo track chair for ICDE, DEI chair for SIGMOD, PC chair for aiDM and others.
Reminder, this is happening today.
On Mon, 24 Jun 2024, 17:13 Sagie Benaim, sagie.benaim@mail.huji.ac.il wrote:
Dear all,
Next week, we have the pleasure of having Prof. Yael Amsterdamer give a talk in the colloquium.
The seminar will be held on Monday, July 1st at 14:00. Location: C221.
The title, abstract and bio appear below.
Looking forward to seeing you, Sagie and Liat
*Title:* Active Data Cleaning
*Abstract:*
We take an active approach to the cleaning of uncertain databases, by proposing a set of tools to guide the cleaning process. We start with a database whose tuple correctness is uncertain, and with some means of resolving this uncertainty, e.g., crowdsourcing, experts, a trained ML model or external sources. Guided by a query that defines what part of the data is of importance, our goal is to select tuples whose cleaning would effectively resolve uncertainty in query results. In other words, we develop a query-guided process for the resolution of uncertain data. Our approach combines techniques from different fields, including the use of provenance information to capture the propagation of errors to query results, Boolean interactive evaluation to decide which input tuples to clean based on their role in output derivation, and active learning to estimate the probability of errors.
*Bio*:
Yael Amsterdamer is a Professor at the Department of Computer Science, Bar-Ilan University, and the head of the Data Management Lab. She received her Ph.D. in Computer Science from Tel-Aviv University, and has been a visiting Scholar at the University of Pennsylvania, Philadelphia, PA and jointly at Télécom Paris and INRIA institute (Paris, France). Her research is in the field of interactive data management spanning topics such as crowd-powered data management, interactive summarization and data cleaning. Her research was awarded multiple competitive grants including the Israeli Science Foundation (ISF) personal grants, the Israeli Ministry of Science (MOST) grant, and the BIU Center for Research in Applied Cryptography and Cyber Security Personal Grant. Her research is published in top venues of her field and she continually serves in roles such as area chair and demo track chair for ICDE, DEI chair for SIGMOD, PC chair for aiDM and others.
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Sagie Benaim