Relevant Papers for the Course: Data Warehousing and Data Mining



  • An Overview of Data Warehousing and OLAP Technology, Chaudhuri and Dayal, ACM SIGMOD Record, 26:65-74, 1997

  • Knowledge Discovery and Data Mining Towards a Unifying Framework, Fayyad, Shapiro and Smyth, KDD-96, 1996

  • Data Mining An Overview from Database Perspective, Chen, Han and Yu, TKDE, 1996

  • An Object Oriented Multidimensional Data Model for OLAP, Nguen, Tjoa and Wagner, Proc. Web-Age Information Management, 2000

  • Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab and Sub-Totals, Gray et al, Data Mining and Knowledge Discovery, 1:29-54, 1997

  • Implementing Data Cubes Efficiently, V. Harinarayan, A. Rajaraman, and J.D. Ullman, Proc. ACM SIGMOD '96, 205-216


  • Fast Algorithms for Mining Association Rules, Agrawal and Srikant, Proc. VLDB '94, 487-499


  • Dynamic Itemset Counting and Implication Rules for Market Basket Data, Brin et al, Proc. ACM SIGMOD '97


  • Mining Frequent Patterns without candidate generation, Han et al, Proc. ACM SIGMOD 2000


  • CLARANS - Efficient and Effective Clustering methods for Spatial Data Mining, Ng and Han, Proc. VLDB '94, 144-155


  • A Density-Based Algorithm for Discovering Clusters in Large spatial databases, Ester et al, Proc. KDD-96, 226-231


  • An Efficient Data Clustering Method for Very Large Databases, Zhang et al, Proc. ACM SIGMOD, 1996


  • A Robust Clustering Algorithm for Categorical Attributes, Guha et al, Proc. ACM SIGMOD '98


  • An Efficient Clustering Algorithm for Large Databases, Guha et al, Proc. ICDE '99


  • Data Mining for Hypertext: A tutorial Survey, S. Chakrabarty, SIGKDD 2000


  • Mining the web's link structure, S. Chakrabarty et al, IEEE Computer 1999


  • The anatomy of a large scale hypertextual web search engine, Brin and Page, W3C, 1998.


  • Some more related Links on the web