The Indiana Center for Database Systems at Purdue University

The Indiana Center for Database Systems (ICDS) at Purdue University has embarked in an ambitious endeavor to become a premiere world-class database research center. This goal is substantiated by the diversity of its research topics, the large and diverse funding base, and the steady publication trend in top conferences and journals. ICDS was founded with an initial grant from the State of Indiana Corporation of Science and Technology in 1990. Since then it has grown to now have 9 faculty members and about 30 total researchers. This report describes the major research projects underway at ICDS as well as efforts to move research toward practice.

[1]  Jianping Fan,et al.  Concept-oriented indexing of video databases: toward semantic sensitive retrieval and browsing , 2004, IEEE Transactions on Image Processing.

[2]  Walid G. Aref,et al.  An extensible index for spatial databases , 2001, Proceedings Thirteenth International Conference on Scientific and Statistical Database Management. SSDBM 2001.

[3]  Walid G. Aref,et al.  Bulk operations for space-partitioning trees , 2004, Proceedings. 20th International Conference on Data Engineering.

[4]  Athman Bouguettaya,et al.  Efficient access to Web services , 2004, IEEE Internet Computing.

[5]  Walid G. Aref,et al.  Joining Ranked Inputs in Practice , 2002, VLDB.

[6]  Walid G. Aref,et al.  SINA: scalable incremental processing of continuous queries in spatio-temporal databases , 2004, SIGMOD '04.

[7]  Jianping Fan,et al.  ClassView: hierarchical video shot classification, indexing, and accessing , 2004, IEEE Transactions on Multimedia.

[8]  Walid G. Aref,et al.  Rank-aware query optimization , 2004, SIGMOD '04.

[9]  Elisa Bertino,et al.  An Update Protocol for XML Documents in Distributed and Cooperative Systems , 2005, 25th IEEE International Conference on Distributed Computing Systems (ICDCS'05).

[10]  Walid G. Aref,et al.  Nile: a query processing engine for data streams , 2004, Proceedings. 20th International Conference on Data Engineering.

[11]  Athman Bouguettaya,et al.  Infrastructure for E-Government Web Services , 2003, IEEE Internet Comput..

[12]  Xindong Wu,et al.  Video data mining: semantic indexing and event detection from the association perspective , 2005, IEEE Transactions on Knowledge and Data Engineering.

[13]  Walid G. Aref,et al.  Scheduling for shared window joins over data streams , 2003, VLDB.

[14]  Chris Clifton,et al.  Privacy-preserving k-means clustering over vertically partitioned data , 2003, KDD '03.

[15]  Jeffrey Scott Vitter,et al.  Efficient Indexing Methods for Probabilistic Threshold Queries over Uncertain Data , 2004, VLDB.

[16]  Jianping Fan,et al.  A hierarchical access control model for video database systems , 2003, TOIS.

[17]  Walid G. Aref,et al.  SEA-CNN: scalable processing of continuous k-nearest neighbor queries in spatio-temporal databases , 2005, 21st International Conference on Data Engineering (ICDE'05).

[18]  Elisa Bertino,et al.  Privacy Protection , 2022 .

[19]  Roberto Grossi,et al.  High-order entropy-compressed text indexes , 2003, SODA '03.

[20]  Chris Clifton,et al.  Privacy-preserving data integration and sharing , 2004, DMKD '04.

[21]  Chris Clifton,et al.  When do data mining results violate privacy? , 2004, KDD.

[22]  Walid G. Aref,et al.  SP-GiST: An Extensible Database Index for Supporting Space Partitioning Trees , 2001, Journal of Intelligent Information Systems.

[23]  Sunil Prabhakar,et al.  Change tolerant indexing for constantly evolving data , 2005, 21st International Conference on Data Engineering (ICDE'05).

[24]  Radu Sion,et al.  Rights protection for relational data , 2003, IEEE Transactions on Knowledge and Data Engineering.

[25]  Chris Clifton,et al.  Privacy-preserving distributed mining of association rules on horizontally partitioned data , 2004, IEEE Transactions on Knowledge and Data Engineering.