clustering

Yan Ji

Yan Ji

Masters Student, College of Computing and Informatics

 

Hadoop Data Explorer

 

The system prototype interface is available at: 

http://lincs.ischool.drexel.edu/sgbrowser/hdex/

 

Large-scale Data Exploration

Hadoop is a powerful framework for processing large-scale data but works primarily in the batch mode without user interaction. There are many scenarios in which users such as business analysts and data scientists need to:

Scatter/Gather Searching and Browsing with Bing API

Scatter/Gather Browser on TREC HARD track (news)

Scatter/Gather Browser on Computing & Information Sciences

Yizhou Zang

Yizhou Zang
Independent research on MapReduce/Hadoop for text clustering. 
 

Xuemei Gong

 

Xuemei Gong
Ph.D. Student, Information Studies

Xuemei has graduated and is now working with Quixey. 

 

Large-scale and distributed information retrieval

The goal was to investigate basic principles underlying efficient and effective search operations given the magnitude of information (big data) and distributed computing resources (cloud). I developed the theory of clustering paradox in distributed IR and studied its impacts on searching in large-scale information networks (see representative publication to appear in ACM TOIS 2013).

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