Data Warehousing and Knowledge Discovery

This paper addresses issues related to Knowledge Management in the context of heterogeneous data warehouse environments. The traditional notion of data warehouse is evolving into a federated warehouse augmented by a knowledge repository, together with a set of processes and services to support enterprise knowledge creation, refinement, indexing, dissemination and evolution.

[1]  David Wai-Lok Cheung,et al.  A General Incremental Technique for Maintaining Discovered Association Rules , 1997, DASFAA.

[2]  Sanjay Ranka,et al.  An Efficient Algorithm for the Incremental Updation of Association Rules in Large Databases , 1997, KDD.

[3]  Sunita Sarawagi,et al.  Mining Surprising Patterns Using Temporal Description Length , 1998, VLDB.

[4]  Ananth Grama,et al.  Data Mining: From Serendipity to Science - Guest Editors' Introduction , 1999, Computer.

[5]  Myra Spiliopoulou,et al.  WUM: A tool for Web Utilization analysis , 1999 .

[6]  Xiaodong Chen,et al.  Mining Temporal Features in Association Rules , 1999, PKDD.

[7]  Franco P. Preparata,et al.  An optimal real-time algorithm for planar convex hulls , 1979, CACM.

[8]  Shamkant B. Navathe,et al.  An Efficient Algorithm for Mining Association Rules in Large Databases , 1995, VLDB.

[9]  Myra Spiliopoulou,et al.  The Laborious Way From Data Mining to Web Log Mining , 1999 .

[10]  David Wai-Lok Cheung,et al.  Maintenance of Discovered Knowledge: A Case in Multi-Level Association Rules , 1996, KDD.

[11]  Hans-Peter Kriegel,et al.  Incremental Clustering for Mining in a Data Warehousing Environment , 1998, VLDB.

[12]  Yonatan Aumann,et al.  Efficient Algorithms for Discovering Frequent Sets in Incremental Databases , 1997, DMKD.

[13]  Mohammed J. Zaki.  Scalable Algorithms for Association Mining , 2000, IEEE Trans. Knowl. Data Eng..

[14]  Christos Faloutsos,et al.  Fast Nearest Neighbor Search in Medical Image Databases , 1996, VLDB.

[15]  Johannes Gehrke,et al.  DEMON: mining and monitoring evolving data , 2000, Proceedings of 16th International Conference on Data Engineering (Cat. No.00CB37073).

[16]  Necip Fazil Ayan,et al.  An efficient algorithm to update large itemsets with early pruning , 1999, KDD '99.

[17]  Johannes Gehrke,et al.  A framework for measuring changes in data characteristics , 1999, PODS '99.

[18]  Azriel Rosenfeld,et al.  Picture Processing by Computer , 1969, CSUR.

[19]  Hans-Peter Kriegel,et al.  Approximation-Based Similarity Search for 3-D Surface Segments , 1998, GeoInformatica.

[20]  Edward Omiecinski,et al.  Efficient Mining of Association Rules in Large Dynamic Databases , 1998, BNCOD.

[21]  Hannu Toivonen,et al.  Sampling Large Databases for Association Rules , 1996, VLDB.