Database and Data Mining

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).