Automating exploratory data analysis via machine learning: An overview
Exploratory Data Analysis (EDA) is an important initial step for any knowledge discovery
process, in which data scientists interactively explore unfamiliar datasets by issuing a …
process, in which data scientists interactively explore unfamiliar datasets by issuing a …
Reverse engineering database queries from examples: State-of-the-art, challenges, and research opportunities
DML Martins - Information Systems, 2019 - Elsevier
With the popularization of data access and usage, an increasing number of users without
expert knowledge of databases is required to perform data interactions. Often, these users …
expert knowledge of databases is required to perform data interactions. Often, these users …
Survey on learnable databases: A machine learning perspective
B Zou, J You, Q Wang, X Wen, L Jia - Big Data Research, 2022 - Elsevier
During the decades of development of artificial intelligence, a spectrum of applications
involving image, speech, text data, etc. are successfully powered by machine learning. The …
involving image, speech, text data, etc. are successfully powered by machine learning. The …
Viewseeker: An interactive view recommendation framework
View recommendations have emerged as a powerful tool to assist data analysts in exploring
and understanding big data. Existing view recommendation approaches proposed a variety …
and understanding big data. Existing view recommendation approaches proposed a variety …
Query definability and its approximations in ontology-based data management
Given an input dataset (ie, a set of tuples), query definability in Ontology-based Data
Management (OBDM) amounts to finding a query over the ontology whose certain answers …
Management (OBDM) amounts to finding a query over the ontology whose certain answers …
Guided exploration of user groups
M Seleznova, B Omidvar-Tehrani… - Proceedings of the …, 2020 - hal.science
Finding a set of users of interest serves several applications in behavioral analytics. Often
times, identifying users requires to explore the data and gradually choose potential targets …
times, identifying users requires to explore the data and gradually choose potential targets …
Guided text-based item exploration
B Omidvar-Tehrani, A Personnaz… - Proceedings of the 31st …, 2022 - dl.acm.org
Exploratory Data Analysis (EDA) provides guidance to users to help them refine their needs
and find items of interest in large volumes of structured data. In this paper, we develop …
and find items of interest in large volumes of structured data. In this paper, we develop …
[PDF][PDF] Ontology-Mediated Queries from Examples: a Glimpse at the DL-Lite Case.
M Ortiz - GCAI, 2019 - gcai2019.inf.unibz.it
Reverse engineering queries from given data, as in the case of query-by-example and query
definability, is an important problem with many applications that has recently gained …
definability, is an important problem with many applications that has recently gained …
Multi-example search in rich information graphs
In rich information spaces, it is often hard for users to formally specify the characteristics of
the desired answers, either due to the complexity of the schema or of the query language, or …
the desired answers, either due to the complexity of the schema or of the query language, or …
Cohort representation and exploration
B Omidvar-Tehrani, S Amer-Yahia… - 2018 IEEE 5th …, 2018 - ieeexplore.ieee.org
The abundant availability of health-care data calls for effective analysis methods which help
medical experts gain a better understanding of their data. While the focus has been largely …
medical experts gain a better understanding of their data. While the focus has been largely …