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Summer campers learning about data science
Thanks to Levin and Shervin for creating a superhero workshop for grade 5/6 summer campers to learn about data quality and data analysis!
Our work on ontological graph keys is accepted to VLDB’19
In collaboration with colleagues at Washington State Univ., our work on “Ontology-based Entity Matching in Attributed Graphs” is accepted to VLDB 2019 in Los Angeles.
Tri, Shawn and Zheng win first prize in the dept. demo competition
Congratulations to Tri, Shawn, Zheng for 1st prize in the Dept. of Computing and Software’s demo competition!
They presented their demo: “CurrentClean: Interactive Change Exploration and Cleaning of Stale Data”
Our CurrentClean paper is accepted to ICDE’19.
Congratulations to Zheng and Mostafa on their paper being accepted to ICDE’19. Looking forward to presenting our work in Macau, China!
M. Milani, Z. Zheng, F. Chiang. “CurrentClean: Spatio-temporal Cleaning of Stale Data”
Postdoc position available in Winter 2019
A postdoctoral position is available in the Data Science Lab, in the Dept. of Computing
and Software at McMaster University. Candidates with strong research experience in
data quality, data profiling, data cleaning, and graph data management are particularly
suitable. English language proficiency is required. The position is available starting
Winter 2019, with an initial appointment for one year and renewable up to two years.
Interested applicants are asked to submit the following:
(i) CV
(ii) statement of research interests and background
(iii) three representative publications
(iv) contact information for three references
Please send the above materials, and any questions, to Fei Chiang
(fchiang@mcmaster.ca).
Mostafa and Prof. Chiang co-present a data quality tutorial at AMW 2018
Enjoyed giving an intro to data quality tutorial at the Alberto Mendelzon Workshop (AMW) in Cali, Colombia.
http://www.amw2018.co/program.html
Prof. Chiang awarded OCE TalentEdge and VIP1 funding
Grateful to receive funding from OCE TalentEdge and VIP1 for our collaborative work with IBM on Ontology-Driven Semantic Disambiguation.