Xiaolei Li

Affiliations:
  • Twitter, San Francisco, CA, USA
  • University of Illinois at Urbana-Champaign, IL, USA (Ph.D.)


According to our database1, Xiaolei Li authored at least 28 papers between 2003 and 2015.

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Bibliography

2015
A Unifying Framework of Mining Trajectory Patterns of Various Temporal Tightness.
IEEE Trans. Knowl. Data Eng., 2015

2011
Mining Discriminative Patterns for Classifying Trajectories on Road Networks.
IEEE Trans. Knowl. Data Eng., 2011

Graph cube: on warehousing and OLAP multidimensional networks.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

2010
Modeling Massive RFID Data Sets: A Gateway-Based Movement Graph Approach.
IEEE Trans. Knowl. Data Eng., 2010

Incremental Clustering for Trajectories.
Proceedings of the Database Systems for Advanced Applications, 2010

2009
Temporal Outlier Detection in Vehicle Traffic Data.
Proceedings of the 25th International Conference on Data Engineering, 2009

2008
Anomaly Detection in Moving Object.
Proceedings of the Intelligence and Security Informatics, Techniques and Applications, 2008

Multidimensional Analysis of Moving Object Data
PhD thesis, 2008

<i>TraClass</i>: trajectory classification using hierarchical region-based and trajectory-based clustering.
Proc. VLDB Endow., 2008

Sampling cube: a framework for statistical olap over sampling data.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

Trajectory Outlier Detection: A Partition-and-Detect Framework.
Proceedings of the 24th International Conference on Data Engineering, 2008

2007
Computing Iceberg Cubes by Top-Down and Bottom-Up Integration: The StarCubing Approach.
IEEE Trans. Knowl. Data Eng., 2007

DataScope: Viewing Database Contents in Google Maps' Way.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

Mining Approximate Top-K Subspace Anomalies in Multi-Dimensional Time-Series Data.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

Adaptive Fastest Path Computation on a Road Network: A Traffic Mining Approach.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

Traffic Density-Based Discovery of Hot Routes in Road Networks.
Proceedings of the Advances in Spatial and Temporal Databases, 2007

ROAM: Rule- and Motif-Based Anomaly Detection in Massive Moving Object Data Sets.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

2006
Answering Top-k Queries with Multi-Dimensional Selections: The Ranking Cube Approach.
Proceedings of the 32nd International Conference on Very Large Data Bases, 2006

FlowCube: Constructuing RFID FlowCubes for Multi-Dimensional Analysis of Commodity Flows.
Proceedings of the 32nd International Conference on Very Large Data Bases, 2006

Motion-Alert: Automatic Anomaly Detection in Massive Moving Objects.
Proceedings of the Intelligence and Security Informatics, 2006

Warehousing and Analyzing Massive RFID Data Sets.
Proceedings of the 22nd International Conference on Data Engineering, 2006

Mining compressed commodity workflows from massive RFID data sets.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

Warehousing and Mining Massive RFID Data Sets.
Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006

2005
Making SVMs Scalable to Large Data Sets using Hierarchical Cluster Indexing.
Data Min. Knowl. Discov., 2005

Mining Evolving Customer-Product Relationships in Multi-Dimensional Space.
Proceedings of the 21st International Conference on Data Engineering, 2005

2004
High-Dimensional OLAP: A Minimal Cubing Approach.
Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, VLDB 2004, Toronto, Canada, August 31, 2004

Scalable Construction of Topic Directory with Nonparametric Closed Termset Mining.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

2003
Star-Cubing: Computing Iceberg Cubes by Top-Down and Bottom-Up Integration.
Proceedings of 29th International Conference on Very Large Data Bases, 2003


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