HECTOR GONZALEZ

 

 

Ph.D. Candidate

Data Mining Research Group
Department of Computer Science
University of Illinois at Urbana-Champaign

201 N. Goodwin Avenue
Urbana, IL 61801

hagonzal (at) uiuc dot edu
(217) 417 2006

APPLICATION MATERIALS: Curriculum Vitae - Research Statement - Teaching Statement

 

BIOGRAPHY

 

I am a Ph.D. student in the Data Mining Research Group, Department of Computer Science, at the University of Illinois at Urbana-Champaign. I work with professor Jiawei Han. Prior to coming to UIUC, I received my MBA from Harvard Business School, and B.S. degree in computer science from Universidad EAFIT.

 

 

RESEARCH INTERESTS

 

I have a broad interest in the areas of data mining, data warehousing, and database systems. I have worked on warehousing, cleaning, and mining of large moving object datasets. I am interested in the problems of mining patterns of human and vehicle movements, and in mining the patterns of interaction of large networks of everyday objects communicating through RFID and sensor network technologies.

 

 

PUBLICATIONS

 

1.  Hector Gonzalez, Jiawei Han, Xiaolei Li, Margaret Myslinska, John Paul Sondag. Adaptive Fastest Path Computation on a Road Network: A Traffic Mining Approach, in Proc. 2007 Int. Conf. on Very Large Databases (VLDB’07), Vienna, Austria, September 2007. pp 794-805. [PDF]

2.  Xiaolei Li, Jiawei Han, Jae-Gil Lee, Hector Gonzalez. Traffic Density-based Discovery of Hot Routes in Road Networks. Proceedings of the 10th International Symposium on Spatial and Temporal Databases (SSTD 2007), Boston, MA, July 2007. pp 441-459.

3.  Hector Gonzalez, Jiawei Han, Xuehua Shen. Cost-conscious Cleaning of Massive RFID Data Sets, in Proc. 2007 Int. Conf. on Data Engineering (ICDE’07), Istanbul, Turkey, April 2007. pp 1268-1272. [PDF]

4.  Xiaolei Li, Jiawei Han, Sangkyum Kim, Hector Gonzalez. ROAM: Rule- and Motif-Based Anomaly Detection in Massive Moving Object Data Sets, in Proc. 2007 SIAM Int. Conf. on Data Mining (SDM’07), Minneapolis, MN, April 2007.

5.  Hector Gonzalez, Jiawei Han, Xiaolei Li. Mining Compressed Commodity Workflows From Massive RFID Data Sets, in Proc. 2006. Conf. on Information and Knowledge Management (CIKM’06), Arlington, Virginia, November 2006.  pp 162-171. [PDF]

6.  Jiawei Han, Hector Gonzalez, Xiaolei Li, Diego Klabjan. Warehousing and Mining Massive RFID Data Sets. (an invited paper),  in Proc. 2006. Int. Conf. on Advanced Data Mining and Applications (ADMA’06), Xi’An, China, August 2006. pp 1-18. (Lecture Notes in Computer Science, Vol 4093, Springer Berlin/Heidelberg, 2006).

7.  Hector Gonzalez, Jiawei Han, Xiaolei Li. FlowCube: Constructing RFID FlowCubes for Multi-Dimensional Analysis of Commodity Flows, in Proc. 2006. Int. Conf. on Very Large Data Bases (VLDB’06), Seul, Korea, September 2006. pp 834-845. [PDF]

8.  Hector Gonzalez, Jiawei Han, Xiaolei Li, and Diego Klabjan. Warehousing and Analysis of Massive RFID Data Sets, in Proc. 2006 Int. Conf. on Data Engineering (ICDE’06), Atlanta, Georgia, April 2006.  (Best Student Paper Award). [PDF]

9.  Xiaolei Li, Jiawei Han, and Hector Gonzalez. High-Dimensional OLAP: A Minimal Cubing Approach, in Proc. 2004 Int. Conf. on Very Large Data Bases (VLDB’04), Toronto, Canada, Aug. 2004. pp 528-539.

10. Hector Gonzalez, and Jiawei Han. Warehousing and Analysis of Massive RFID Datasets. To appear in: The Internet of Things: From RFID to the Next Generation Pervasive Networked Systems. Edited by Yan Lu, Yan Zhang, Laurence T. Yang, and Huansheng Ning. Auerbach Publications.

11. Jiawei Han and Hector Gonzalez, Modeling Massive RFID Datasets: A Movement-Graph-Based Approach, (invited book chapter, in preparation), Alfredo Cuzzocrea et al, (eds), Intelligent Techniques for Warehousing and Mining Sensor Network Data, IGI Global, 2008.

 

Publications in Submission

 

1.  Hector Gonzalez, Jiawei Han, Hong Cheng. Movement Graphs: Gateway based Partitioning of RFID Datasets. Submitted to: IEEE Transactions on Knowledge and Data Engineering (TKDE).

 

Masters Thesis

 

1.  FQ-Tree an index structure for very high dimensional data”, University of Illinois at Urbana-Champaign, 2003.

 

 

HONORS & AWARDS

 

2007

Outstanding Teaching Assistant Award. Dept. Comp. Science, UIUC.

 

2006

ICDE’06 Best Student Paper Award: “Warehousing and analyzing massive RFID data sets”.

 

2004

Excellent Teaching Assistant Award. Dept. Comp. Science, UIUC.

 

1999

Harvard Business School Loeb Award for excellent academic performance in finance courses.

 

1999

Harvard Business School Second Year Honors

 

1998

Harvard Business School First Year Honors

 

1995

Selected by Portafolio among top-5 graduating students in Colombia.

Graduated first in class Universidad Eafit.