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14.2 - Analyzing, Modeling, and Summarizing Social Media and Linked Data Sets

Project - Summary


  • Utilize data from multiple source systems for analysis purposes, by integrating both internal data and large volumes of data from outside systems (third party, social media). This integration empowers internal business users with the capability of analyzing customer info, product info, financial info, procurement info, weather data, etc. from multi-dimension and multi-view perspectives in different aggregation and granular levels.
  • Develop effective and efficient data mining models, tools and techniques to improve business intelligence, by addressing real-world issues such as customer opinion, improving personalized service, and reducing customer attrition and improving cross-selling and up-selling in customer relationship management.

Project - Team

Team Member Role Email Phone Number Academic Site/IAB
Xiaohua Hu PI Not available Not available Drexel University
Xiaoli Song Graduate Student Not available Not available Drexel University

Project - Impact and Uses/Benefits

Early hotspots detection and precise prediction are important in many disciplines. This project provides scalable spatio-temporal hotspot detection and prediction approaches which are well engineered for big data. The approaches are general and can be applied in various application domains with minimal customizations.

This system can be beneficial in several applications such as epidemiology, public health, law enforcement, anti-terrorism, marketing (Merging markets, cross selling, and advertisement optimization), etc.

Project - Deep Dive

Project - Documents

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projects/year3/14.2.1566415562.txt.gz · Last modified: 2019/08/21 14:26 by sally.johnson