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Publications

My research interests include data mining, OLAP, data indexing, etc. I am in the DAIS (Database And Information Systems) group under the supervision of my advisor, Dr. Jiawei Han. Here, you can find my publications in reverse chronological order.

My DBLP bibliography is located here.

Refereed Conferences

		DataScope: Viewing Database Contents in Google Maps' Way Tianyi Wu, Xiaolei Li, Dong Xin, Jiawei Han, Jacob Lee, Ricardo Redder. Proceedings of the 33rd International Conference on Very Large Data Bases (VLDB 2007), Vienna, Austria, Sept 2007. System Demo.
		Adaptive Fastest Path Computation on a Road Network: A Traffic Mining Approach Hector Gonzalez, Jiawei Han, Xiaolei Li, Margaret Myslinska, John Paul Sondag. Proceedings of the 33rd International Conference on Very Large Data Bases (VLDB 2007), Vienna, Austria, Sept 2007. Full Paper.
		Mining Approximate Top-K Subspace Anomalies in Multi-Dimensional Time-Series Data Xiaolei Li, Jiawei Han. Proceedings of the 33rd International Conference on Very Large Data Bases (VLDB 2007), Vienna, Austria, Sept 2007. Full Paper.
		Traffic Density-based Discovery of Hot Routes in Road Networks Xiaolei Li, Jiawei Han, Jae-Gil Lee, Hector Gonzalez. Proceedings of the 10th International Symposium on Spatial and Temporal Databases (SSTD 2007), Boston, MA, Jul 2007. Full Paper.
		ROAM: Rule- and Motif-Based Anomaly Detection in Massive Moving Object Data Sets Xiaolei Li, Jiawei Han, Sangkyum Kim, Hector Gonzalez. Proceedings of the Seventh SIAM International Conference on Data Mining (SDM 2007), Minneapolis, MN, Apr, 2007. Full Paper.
		Mining Compressed Commodity Workflows From Massive RFID Data Sets Hector Gonzalez, Jiawei Han, Xiaolei Li. Proceedings of the ACM Fifteenth Conference on Information and Knowledge Management (CIKM 2006), Arlington, VA, Nov, 2006. Full Paper.
		Answering Top-k Queries with Multi-Dimensional Selections: The Ranking Cube Approach Dong Xin, Jiawei Han, Hong Cheng, Xiaolei Li. Proceedings of the 32nd International Conference on Very Large Data Bases (VLDB 2006), Seoul, Korea, Sept 2006. Full Paper.
		FlowCube: Constructuing RFID FlowCubes for Multi-Dimensional Analysis of Commodity Flows Hector Gonzalez, Jiawei Han, Xiaolei Li. Proceedings of the 32nd International Conference on Very Large Data Bases (VLDB 2006), Seoul, Korea, Sept 2006. Full Paper.
		Warehousing and Analyzing Massive RFID Data Sets Hector Gonzalez, Jiawei Han, Xiaolei Li, Diego Klabjan. Proceedings of the The 22nd International Conference on Data Engineering (ICDE 2006), Atlanta, GA, April 2006. Full Paper.
		Motion-Alert: Automatic Anomaly Detection in Massive Moving Objects Xiaolei Li, Jiawei Han, Sangkyum Kim. Proceedings of the 2006 IEEE Intelligence and Security Informatics Conference (ISI 2006), San Diego, CA, May 2006. Full Paper.
		Mining Evolving Customer-Product Relationships in Multi-Dimensional Space Xiaolei Li, Jiawei Han, Xiaoxin Yin, Dong Xin. Proceedings of the The 21st International Conference on Data Engineering (ICDE 2005), Tokyo, Japan, April 2005 (acceptance rate, 19%). Poster Paper.
		Scalable Construction of Topic Directory with Nonparametric Closed Termset Mining Hwanjo Yu, Duane Searsmith, Xiaolei Li, Jiawei Han. Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), Brighton, UK, November 2004 (acceptance rate, 23%). Short Paper.
		High-Dimensional OLAP: A Minimal Cubing Approach Xiaolei Li, Jiawei Han, Hector Gonzalez. Proceedings of the 30th International Conference on Very Large Data Bases (VLDB 2004), Toronto, Canada, August 2004 (acceptance rate, 19%). Full Paper.
		Star-Cubing: Computing Iceberg Cubes by Top-Down and Bottom-Up Integration Dong Xin, Jiawei Han, Xiaolei Li, Benjamin W. Wah. Proceedings of the 29th International Conference on Very Large Data Bases (VLDB 2003), Berlin, Germany, September 2003 (acceptance rate, 15%). Full Paper.

Refereed Journals

		Computing Iceberg Cubes by Top-Down and Bottom-Up Integration: The Star-Cubing Approach Dong Xin, Jiawei Han, Xiaolei Li, Zheng Shao, Benjamin W. Wah. IEEE Transactions on Knowledge and Data Engineering, Vol 19, No,1, 2007, 111-126.
		Making SVMs Scalable to Large Data Sets using Hierarchical Cluster Indexing Hwanjo Yu, Jiong Yang, Jiawei Han, Xiaolei Li. Data Mining and Knowledge Discovery. 2005.

Master's Thesis

High-Dimensional Online Analytical Processing: A Minimal Cubing Approach
Xiaolei Li. Master's Thesis. University of Illinois at Urbana-Champaign, May 2004.

This is just an extended version of my VLDB 2004 paper listed above. It includes more experimental results and some other minor extensions.