Large-scale scholarly data mining

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Project Description

Delve is an on-going project in my group. It is a web-based dataset retrieval and document analysis system. Unlike traditional academic search engines (e.g., Google Scholar) and dataset repositories (UCI repository), Delve is dataset driven and provides a medium for dataset retrieval based on the suitability or usage in a given field. It also visualizes dataset and document citation relationship, and enables users to analyze a scientific document by uploading its full PDF.​​​​
Program - Computer Science
Division - Computer, Electrical and Mathematical Sciences and Engineering
Field of Study - ​Machine learning, data mining

About the
Researcher

Xiangliang Zhang

Associate Professor, Computer Science

Xiangliang Zhang
Professor Zhang's research is focused on developing algorithms for machine learning and data mining to discover knowledge from complex and large-scale data sets for diverse applications and to design autonomic computing systems. She also focuses on recommender systems and cloud computing.

Desired Project Deliverables

​The internship position is for candidates who can contribute to the system by using machine learning and data mining techniques on the analysis of document text, citation and co-author graphs. Deep learning, graph embedding and graph mining techniques should be explored for improving the search accuracy in the system.​