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Database and Data Mining

The research interests of DDM group include data federation and privacy preservation by applying techniques of text mining, natural language processing, machine learning, and semantic web.

The research group of Deep Data Mining was established to develop algorithms and implement prototype for multi-sources heterogeneous information federation and privacy preservation on multimodal data.

Regarding datatypes to integrate, we consider data from structured (e.g, records in DB), semi-structured (e.g, XML, JSON) and unstructured sources (e.g, news, social media). In a broad view of the core techniques, our group applies technologies of database, data mining, natural language processing, machine learning, and ontology based semantic web technology. As application-driven research, we aim to realize general data integration framework to adapt multiple applications (e.g, information retrieval, recommendation systems, online advertisements) and meanwhile acquire the unique characteristics of domain-data to boost the integration accuracy on specialized domains (e.g, social networks, demographic, review data).

Research projects

Latest publications

ECIR 2020: Advances in Information Retrieval, Springer 2020 : 443-448
Ait-Mlouk, Addi; Jiang, Lili
IEEE Access, IEEE 2020, Vol. 8 : 149220-149230
Ait-Mlouk, Addi; Jiang, Lili
Proceedings of the 28th ACM International Conference on Multimedia (MM ’20), ACM Digital Library 2020 : 1-9
Vu, Xuan-Son; Le, Duc-Trong; Edlund, Christoffer; et al.
Proceedings of the 20th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing), 2019
Vu, Xuan-Son; Santra, Abhishek; Chakravarthy, Sharma; et al.
IEEE/ACM Transactions on Computational Biology & Bioinformatics, IEEE 2019, Vol. 16, (3) : 980-993
Wang, Aiguo; Chen, Ye; An, Ning; et al.
Proceedings of The World Wide Web Conference WWW 2019, New York, NY, USA: ACM Digital Library 2019 : 3595-3599
Vu, Xuan-Son; Ait-Mlouk, Addi; Elmroth, Erik; et al.
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019), Incoma Ltd. 2019 : 1285-1294
Vu, Xuan-Son; Vu, Thanh; Tran, Son N.; et al.
Proceedings of the 20th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing), 2019
Vu, Xuan-Son; Tran, Son N.; Jiang, Lili
Proceedings of the 9th Global WordNet Conference (GWC 2018), Singapore: Nanyang Technological University (NTU) 2018 : 173-182
Vu, Xuan-Son; Flekova, Lucie; Jiang, Lili; et al.
Proceedings of the 19th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing), 2018
Vu, Xuan-Son; Jiang, Lili
TMA Conference 2017: Proceedings of the 1st Network Traffic Measurement and Analysis Conference
Gonzalez, Roberto; Jiang, Lili; Ahmed, Mohamed; et al.
K-CAP 2017: Proceedings of the Knowledge Capture Conference
Vu, Xuan-Son; Jiang, Lili; Brändström, Anders; et al.
Computers in Biology and Medicine, Elsevier 2016, Vol. 77 : 76-89
Chen, Ye; Wang, Aiguo; Ding, Huitong; et al.
Vu, Xuan-Son; Nguyen, Thanh-Son; Le, Duc-Trong; et al.

News - Computing Science

Seven spin-of companies from Umeå university on international AI map
Published: 19 Nov, 2020

Seven spin-off companies from Umeå university on the first European AI Startup Landscape Map.

Adlede behind new AI-based advertising platform to Danish media houses
Published: 16 Nov, 2020

Adlede, a spin off company to Codemill, is behind a new platform to several Danish media houses.

Several spin-off companies take part in international AI conference
Published: 11 Nov, 2020

Research companies based on technology for AI at Sweden Innovation Days.

Awarded 4 million SEK for developing new Deep Learning methods
Published: 05 Nov, 2020

Johanna Björklund receives funding for research on semantic parsing of multimodal data.

Researchers will study how AI affects human well-being
Published: 05 Nov, 2020

Ingeborg Nilsson is one of the responsible for the initiative.