Papers on association/classification/clustering/data cube

• R. Agrawal, R. Srikant: "Fast Algorithms for Mining Association Rules",
  Proc. of the 20th Int'l Conference on Very Large Databases, Santiago, Chile,
  Sept. 1994. Expanded version available as IBM Research Report RJ9839, June 1994.

• J. Han, J. Pei, and Y. Yin, `` Mining Frequent Patterns without Candidate
  Generation'', Proc. 2000 ACM-SIGMOD Int. Conf. on Management
  of Data (SIGMOD'00), Dallas, TX, May 2000.

• M. Kamber, L. Winstone, W. Gong, S. Cheng, and J. Han, `` Generalization and
  Decision Tree Induction: Efficient Classification in Data Mining'', Proc. of
  1997 Int'l Workshop on Research Issues on Data Engineering (RIDE'97),
  Birmingham, England, April 1997, pp. 111-120.

• W. Li, J. Han, and J. Pei, `` CMAR: Accurate and Efficient Classification Based
  on Multiple Class-Association Rules, '', Proc. 2001 Int. Conf. on Data Mining (
  ICDM'01), San Jose, CA, Nov. 2001.

• Daniel Barbara, Ping Chen: Using the fractal dimension to cluster datasets.
  KDD 2000: 260-264

• Micheline Kamber, Jiawei Han, Jenny Y. Chiang, `` Metarule-Guided Mining of
  Multi-Dimensional Association Rules Using Data Cubes '', Proceeding of the
  3rd International Conference on Knowledge Discovery and Data Mining, Newport
  Beach, California, Aug. 1997, in press.

• A. L. P. Chen and Y. H. Wu, "Data Analysis," Encyclopedia of Electrical
  and Electronics Engineering, John Wiley & Sons Publishers, 1998.

Papers on web search/recommendation

• J. A. Konstan, B. N. Miller, D. Maltz, and et al., ¡§Grouplens: Applying Collaborative
  Filtering to Usenet News,¡¨ Communications of the ACM, 40(3): 77-87, March 1997
  

• M. Balabanovic and Y. Shoham, ¡§Fab: Content-based Collaborative Filtering
  Recommendation,¡¨ Communications of the ACM, 40(3): 66-72, March 1997.
  

• Y.H. Wu, Y.C. Chen and A.L.P. Chen, "Enabling Personalized Recommendation on the Web
  based on User Interests and Behaviors," Proc. IEEE International Workshop on Research
  Issues in Data Engineering (RIDE)

Papers on video DB/spatial indexing

• Tony C. T. Kuo, Y. B. Lin and Arbee L. P. Chen et al, ¡§Efficient Shot
  Change Detection on Compressed Video Data,¡¨ Proc. of IEEE Workshop on
  Multimedia Database Management systems, August 1996, pp. 101-108.
  [SCD.ps]

• Tony C. T. Kuo and Arbee L. P. Chen, ¡§A Content-based Query Language
  for Video Databases,¡¨ Proc. of IEEE Multimedia Computing and Systems,
  June 1996.
  [CVQL.ps]

• C. C. Liu and A. L. P. Chen, ¡§3D-List: A Data Structure for Efficient
  Video Query Processing,¡¨ to apper in IEEE Trans. on Knowledge and Data
  Engineering.
  [3dlist.ps]

• Eitetsu Oomoto and Katsumi Tanaka, ¡§OVID: Design and Implementation of
  a Video-Object Database System,¡¨ IEEE Transactions on Knowledge and
  Data Engineering, August 1993, pp. 629-643.
  [OVID.pdf]

• Guttmann, A. "R-trees: A dynamic index structure for spatial
  searching", ACM SIGMOD, 1984, pp.47-57.
  [R-Tree.pdf]

• White, D.A. and R. Jain. "Similarity indexing with the SS-tree," Int.
  Conf. on Data Engineering, Feb. 1996, pp.516-523.
  [SS-Tree.pdf]

Papers on music DB

• Hsu, J. L., and A. L. P. Chen, ¡§A Qualitative Comparison of Various Techniques
  for Content-based Music Information Retrieval¡¨, in Stephen Downie, Tim Crawford,
  and Don Byrd (eds.), Music Information Retrieval: Audio, MIDI, and Score, Kluwer
  Academic Publishers.

• Blackburn, S. and D. DeRoure, ¡§A Tool for Content-Based Navigation of Music,¡¨
  in Proceedings of the 6th ACM International Multimedia Conference, pages 361~368,
  1998.

• Manab, R. J., L. S. Smith, I. H. Witten, and C. L. Henderson, ¡¨Tune Retrieval in
  the Multimedia Library,¡¨ Multimedia Tools and Applications, Vol. 10, No. 2/3,
  Kluwer Academic Publishers, 2000.
  

• Hsu, J. L., C. C. Liu, and A. L. P. Chen, ¡§Discovering Non-Trivial Repeating
  Patterns in Music Data,¡¨ IEEE Transactions on Multimedia, Vol.3, No. 3, 2001.

• Pierre-Yves Rolland, ¡§FlExPat: Flexible Extraction of Sequential Patterns,¡¨
  in Proceedings of IEEE International Conference on Data Mining (ICDM 2001), 2001
  (November 29 - December 2).

Papers on mobility/broadcast data

• Simonas Saltenis, Christian S. Jensen, Scott T. Leutenegger, and Mario A. Lopez:
  "Indexing the Positions of Continuously Moving Objects," ACM SIGMOD 2000

• Dement Aksoy, Michael Franklin, "Scheduling for Large-Scale on-demand data
  broadcasting," IEEE infocom conference 1998

• Wang-Chien Lee, Dik Lun Lee: "Signature Caching Techniques for Information Filtering
  in Mobile Environment," ACM/Baltzer MONET, 1999