• Arning, Agrawal, and Raghavan, "A Linear Method for Deviation Detection in Large Databases", KDD, 164-169, 1996
  Presenter: Ali Triki
• Lent, Agrawal, and Srikant, "Discovering Trends in Text Databases", KDD, 1997
  Presenter: Gil Carrick
• Chakrabarti, Sarawagi, and Dom, "Finding surprising patterns using temporal description length", VLDB, 1998
  Presenter: Zubair Saifullah

• Kohavi and Sommerfield, "Targeting Business Users with Decision Table Classifiers", KDD, 249-253, 1998
  Presenter: Andi Baritchi
• "Mining the Web's Link Structure", IEEE Computer Magazine, 1999
  Presenter: Sushanth Rai
• Feldman and Hirsh, "Mining Associations in Text in the Presence of Background Knowledge", KDD, 343-346, 1996
  Presenter: Suchit Subhaschandra

• Derthick, Kolojejchick, and Roth, "An Interactive Visualization Environment for Data Exploration", KDD, 2-9, 1997
  Presenter: Sridhar Vemuri
• Shek, Muntz, Mesrobian, and Ng, "Scalable Exploratory Data Mining of Distributed Geoscientific Data", KDD, 1996
  Presenter: Sona Srinivasan
• System Overview: Mars
  Presenters: Shashidhar Govind and Satish Dasam

• Padmanabhan and Tuzhilin, "Pattern Discovery in Temporal Databases: A Temporal Logic Approach", KDD, 351-354, 1996
  Presenter: Syed Taqvi
• Smyth and Wolpert, "Anytime Exploratory Data Analysis for Massive Data Sets", KDD, 54-60, 1997
  Presenter: John Vandervort
• Cortes and Pregibon, "Giga-Mining", KDD, 174-178, 1998
  Presenter: Kevin Gee
• Prodromidis and Stolfo, "Mining Databases with Different Schemas: Integrating Incompatible Classifiers", KDD, 314-318, 1998
  Presenter: Glenn Freeman

• Fayyad, Haussler, and Stolorz, "KDD for Science Data Analysis: Issues and Examples", KDD, 50-56, 1996
  Presenter: Rajeev Nair
• Mooney and Roy, "Content-Based Book Recommending Using Learning for Text Categorization", SIGIR-99 Workshop on Recommender Systems: Algorithms and Evaluation, 1999
  Presenter: Trivikram Bhat
• System Overview: IBM Intelligent Miner
  Presenters: Nitish Manocha and Neeraja Rudrabhatla

• Das, Lin, Mannila, Renganathan, and Smyth, "Rule Discovery from Time Series", KDD, 16-22, 1998
  Presenter: Murali Kadimi
• System Overview: SDL (Survey Data Laundering) Presenter: Sriram Subramanian
• System Overview: PolyAnalyst
  Presenters: Manikandan Raveendran and Mohyuddin Rehmattullah

• Stolorz and Dean, "Quakefinder: A Scalable Data Mining System for Detecting Earthquakes from Space", KDD, 208-213, 1996
  Presenter: Naresh Baliga
• Ramoni and Sebastiani, "An Introduction to the Robust Bayesian Classifier", KMi Technical Report KMi-TR-79, Knowledge Media Institute, The Open University, March 1999
  Presenter: Chandrasekhar Jakkampudi
• Guralnik, Wijesekera, Srivastava, "Pattern Directed Mining of Sequence Data", KDD, 51-57, 1998
  Presenter: Jyothsna Nayak
• Ciesielski and Palstra, "Using a Hybrid Neural/Expert System for Data Base Mining in Market Survey Data", KDD, 38-43, 1996
  Presenter: Manish Desai

• Handley, Langley, and Rauscher, "Learning to Predict the Duration of an Automobile Trip", KDD, 219-223, 1998
  Presenter: Aravind Ginjupalli
• Lee, Stolfo, and Mok, "Mining Audit Data to Build Intrusion Detection Models", KDD, 66-72, 1998
  Presenter: Jesus Gonzalez
• Graefe, Fayyad, and Chaudhuri, "On the Efficient Gathering of Sufficient Statistics for Classification from Large SQL Databases", KDD, 204-208, 1998
  Presenter: Sumanth Kamath
• System Overview: Analyst's Notebook, Cross Graph, or Table Trans
  Presenter: Syed Ullah

• Spatial Data Mining
  K. Koperski, J. Han, and N. Stefanovic, `` An Efficient Two-Step Method for Classification of Spatial Data'', Proc. 1998 International Symposium on Spatial Data Handling SDH'98, , Vancouver, BC, Canada, July 1998, pp. 45-54.
  J. Han, K. Koperski, and N. Stefanovic, `` GeoMiner: A System Prototype for Spatial Data Mining'', Proc. 1997 ACM-SIGMOD Int'l Conf. on Management of Data(SIGMOD'97), Tucson, Arizona, May 1997.
  K. Koperski and J. Han, `` Discovery of Spatial Association Rules in Geographic Information Databases'', Proc. 4th Int'l Symp. on Large Spatial Databases (SSD95), Maine, Aug. 1995, pp. 47-66.
  Presenter: Ajay Gupta
• Weiss and Hirsh, "Learning to Predict Rare Events in Event Sequences", KDD, 359-363, 1998
  Presenter: Veena Rathna
• Singh, Chen, Haight, Scheuermann, and Aoki, "A Robust System Architecture for Mining Semi-structured Data", KDD, 329-333, 1998
  Presenter: Aby Mathew
• Barbara, "Chaotic Mining: Knowledge Discovery Using the Fractal Dimension", IBM Workshop on Data Mining, 1999
  Presenter: Dhruva Gopal

Other Papers

• Quinlan, "Comparing Connectionist and Symbolic Learning Methods", in Hanson, Drastal, Rivest (eds.), Computational Learning Theory and Natural Learning Systems: Constraints and Prospects, MIT Press, 1993
• Oliver, Roush, Gazis, Buntine, Baxter, and Waterhouse, "Analysing Rock Samples for the Mars Lander", KDD, 299-303, 1998
• Gaffney and Smyth, "Trajectory clustering using mixtures of regression models", KDD, 1999
• Kamber, Han, and Chiang, "Metarule-Guided Mining of Multi-Dimensional Association Rules Using Data Cubes", KDD, 207-210, 1997
• Morzy and Zakrzewicz, "Group Bitmap Index: A Structure for Association Rules Retrieval", KDD, 284-288, 1998 (also see Thomas and Sarawagi, KDD, 344-348, 1998)
• Grecu and Becker, "Coactive Learning for Distributed Data Mining", KDD, 209-213, 1998
• Czyzewski, "Mining Knowledge in Noisy Audio Data", KDD, 220-225, 1996
• Subramonian, Venkata, and Chen, "A Visual Interactive Framework for Attribute Discretization", KDD, 82-88, 1997
• Zhou, D. Truffet, and J. Han, "Efficient Polygon Amalgamation Methods for Spatial OLAP and Spatial Data Mining", Proc. 6th Int. Symp. on Large Spatial Databases (SSD'99) , Hong Kong, July 1999
  
• Nakhaeizadeh and Schnabl, "Development of Multi-Criteria Metrics for Evaluation of Data Mining Algorithms", KDD, 37-42, 1997
  
• Agrawal, Lin, Sawhney, and Shim, "Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Series Databases", Proceedings of the 21st International Conference on Very Large Databases, 1995
  
• Turmon, Mukhtar, and Pap, "Bayesian Inference for Identifying Solar Active Regions", KDD, 267-270, 1997