Rutgers The State University of
|Instructor||Prof. Nabil Adam|
|: 200R Ackerson Hall (Newark)|
|Office Hours||: Tuesdays 12:50 - 2:00pm and by appointment|
Purpose: The purpose of this course is to present advanced topics in database systems and delve into research in these areas. The topics include distributed, object-oriented, active, deductive and temporal databases, as well as advanced application domains that influence database research such as Internet, workflows, digital libraries and electronic commerce.
Prerequisite: 22:198:603 (Database Systems)
Reading Material: There is no text assigned to this course at the moment. However, the following books either cover one topic in depth or cover some of the preliminary concepts of the topics. In addition to the books listed below, the reading list includes a number of research papers.
Research Paper 40%
Paper Presentation 10%
Mid-term Examinations 30%
1- Mark Weiser, Some computer science issues in ubiquitous computing,Communications of the ACM, v.36 n.7, p.75-84, July 1993
2- D. Barbara, "Mobile Computing and Databases: A Survey," IEEE Trans. Knowledge and Data Eng., vol. 11, no. 1, Jan./Feb. 1999, pp. 108--117.
3- Ouri Wolfson, Bo Xu, Sam Chamberlain, and L. Jiang. Moving objects databases: Issues and solutions. In Proceedings of the SSDBM Conf., pages 111-122, 1998.
4- Kollios, G., Gunopulos, D., Tsotras, V. On Indexing Mobile Objects. ACM PODS, 1999.
5- Saltenis, S., Jensen, C., Leutenegger, S., Lopez, M. Indexing the Positions of Continuously Moving Objects. ACM SIGMOD, 2000.
1- Sheila A. McIlraith, Tran Cao Son, and Honglei Zeng, "Semantic Web Services", IEEE Intelligent Systems, vol. 16, no. 2, 2001, pp. 46-53.
2- Sheila A. McIlraith,David L. Martin, "Bringing Semantics to Web Services", SRI International
3- Christoph Bussler,Dieter Fensel, Alexander Maedche, "A Conceptual Architecture for Semantic Web Enabled Web Services", SIGMOD Record, Dec 2002
4- Srini Narayanan, Sheila A. McIlraith, "Semantic Web Services: Simulation, verification and automated composition of web services", Proceedings of the 11th International World Wide Web Conference (WWW 2002)
5- Ian Horrocks, "DAML+OIL: a Reason-able Web Ontology Language", Extending Database Technology
1. V. Harinarayan, A. Rajaraman and J. Ulman, " Implementing data cubes efficiently", Proceedings of the 1996 ACM SIGMOD international conference on Management of data, June 1996, pages 205-216
2. S.Chaudhuri and U. Dayal, "An overview of data warehousing and OLAP technology", ACM SIGMOD Record, volumn 26:65-74, 1997.
3. D. Agrawal, A. E. Abbadi, A. Singh and T. Yurek, "Efficient view maintenance in data warehouses", Proceeding of
1997 ACM SIGMOD international conference on Management of Data, May 1997, pages 417-427
4. R. Agrawal, A. Gupta, and S. Sarawagi, "Modeling multidimensional databases", Proceedings of 1997 International Conference on Data Engineering, April 1997, pages 232-243.
5. Dimitri Theodoratos and Mokrane Bouzeghoub, "A general framework for the view selection problem for data warehouse design and evolution", Proceedings of the 3rd ACM international workshop on Data warehousing and OLAP, November 2000.
1. Martin Ester, Alexander Frommelt, Hans-Peter Kriegel, Jorg Sander,Spatial Data Mining: Database Primitives, Algorithms and Efficient DBMS ,Data Mining and Knowledge Discovery, an International Journal, Kluwer Academic
2. Shashi Shekhar, Chang-tien Lu, Pusheng Zhang, Detecting Graph-based Spatial Outliers: Algorithms and Applications, Proc. of the 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2001
3. M. Ester, A. Frommelt, H.-P. Kriegel, and J. Sander. Algorithms for characterization and trend detection in spatial databases. In Proceedings of 4th Int. Conf. on Knowledge Discovery and Data Mining (KDD), 1998.
4. M. Ester, H. -P. Kriegel, J. Sander, and X. Xu. A density-based algorithm for discovering clusters in large spatial databases. In Proceedings of 4th Int. Conf. on Knowledge Discovery and Data Mining (KDD), 1996.
5. I. Kang, T. Kim, and K. Li. A Spatial Data Mining Method by Delaunay Triangulation. In Proceedings of the 5th International Workshop on Advances in Geographic Information Systems (GIS-97), pages 35-39, 1997.