homepeople › hoda eldardiry

PROFILE:

 

Hoda Eldardiry

Hoda Eldardiry's research spans machine learning, knowledge discovery, and data mining -- with a focus on social network analysis, ensemble classification, and statistical relational learning. She is currently working on fraud analysis and anomaly detection, which has both government and commercial application

Hoda is particularly interested in the relational characteristics of data, including recovering and utilizing hidden structures. She has developed algorithms that combine relational knowledge from multiple sources and propagate inference information across various relational models.

Dr. Eldardiry earned her Ph.D. and M.S. in Computer Science from Purdue University, and her Bachelor's degree in Computer and Systems Engineering from Alexandria University in Egypt.

 

PARC publications

view publications by:  date | title | type | focus area

 

2014

Ganging Up on Big Data Computer-Intermediated Collaborative Analysis

International Symposium on Collaborative Analysis and Reasoning Systems (CARS 2014)

19 May 2014

2013

Fraud detection for healthcare

KDD2013 Workshop on Data Mining for Healthcare

11 August 2013

Multi-domain information fusion for insider threat detection

2013 IEEE Workshop on Research for Insider Threat (WRIT)

24 May 2013

2012

An analysis of how ensembles of collective classifiers improve predictions in graphs

The 21st ACM International Conference on Information and Knowledge Management (CIKM 2012)

29 October 2012

 

 

 

 

related focus areas

 

related competencies