• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 65 matches

• 1999
• 
  Gediminas Adomavicius, Alexander Tuzhilin:
  User Profiling in Personalization Applications Through Rule Discovery and Validation. KDD 1999: 377-381
• 
  Charu C. Aggarwal, Stephen C. Gates, Philip S. Yu:
  On the Merits of Building Categorization Systems by Supervised Clustering. KDD 1999: 352-356
• 
  Charu C. Aggarwal, Joel L. Wolf, Kun-Lung Wu, Philip S. Yu:
  Horting Hatches an Egg: A New Graph-Theoretic Approach to Collaborative Filtering. KDD 1999: 201-212
• 
  Rakesh Agrawal:
  Data Mining: Crossing the Chasm (Invited talk, Abstract only). KDD 1999: 2
• 
  Mihael Ankerst, Christian Elsen, Martin Ester, Hans-Peter Kriegel:
  Visual Classification: An Interactive Approach to Decision Tree Construction. KDD 1999: 392-396
• 
  Yonatan Aumann, Yehuda Lindell:
  A Statistical Theory for Quantitative Association Rules. KDD 1999: 261-270
• 
  Necip Fazil Ayan, Abdullah Uz Tansel, M. Erol Arkun:
  An Efficient Algorithm to Update Large Itemsets with Early Pruning. KDD 1999: 287-291
• 
  Daniel Barbará, Xintao Wu:
  Using Approximations to Scale Exploratory Data Analysis in Datacubes. KDD 1999: 382-386
• 
  Stephen D. Bay, Michael J. Pazzani:
  Detecting Change in Categorical Data: Mining Contrast Sets. KDD 1999: 302-306
• 
  Roberto J. Bayardo Jr., Rakesh Agrawal:
  Mining the Most Interesting Rules. KDD 1999: 145-154
• 
  Kristin P. Bennett, Usama M. Fayyad, Dan Geiger:
  Density-Based Indexing for Approximate Nearest-Neighbor Queries. KDD 1999: 233-243
• 
  Francesco Bonchi, Fosca Giannotti, Gianni Mainetto, Dino Pedreschi:
  A Classification-Based Methodology for Planning Audit Strategies in Fraud Detection. KDD 1999: 175-184
• 
  Tom Brijs, Gilbert Swinnen, Koen Vanhoof, Geert Wets:
  Using Association Rules for Product Assortment Decisions: A Case Study. KDD 1999: 254-260
• 
  Sergey Brin, Rajeev Rastogi, Kyuseok Shim:
  Mining Optimized Gain Rules for Numeric Attributes. KDD 1999: 135-144
• 
  Wray L. Buntine, Bernd Fischer, Thomas Pressburger:
  Towards Automated Synthesis of Data Mining Programs. KDD 1999: 372-376
• 
  Jesús Cerquides:
  Applying General Bayesian Techniques to Improve TAN Induction. KDD 1999: 292-296
• 
  Damianos Chatziantoniou:
  The PanQ Tool and EMF SQL for Complex Data Management. KDD 1999: 420-424
• 
  Chun Hung Cheng, Ada Wai-Chee Fu, Yi Zhang:
  Entropy-based Subspace Clustering for Mining Numerical Data. KDD 1999: 84-93
• 
  John Clear, Debbie Dunn, Brad Harvey, Michael L. Heytens, Peter Lohman, Abhay Mehta, Mark Melton, Lars Rohrberg, Ashok Savasere, Robert M. Wehrmeister, Melody Xu:
  NonStop SQL/MX Primitives for Knowledge Discovery. KDD 1999: 425-429
• 
  Corinna Cortes, Daryl Pregibon:
  Information Mining Platforms: An Infrastructure for KDD Rapid Deployment. KDD 1999: 327-331
• 
  Scott Davies, Andrew W. Moore:
  Bayesian Networks for Lossless Dataset Compression. KDD 1999: 387-391
• 
  Pedro M. Domingos:
  MetaCost: A General Method for Making Classifiers Cost-Sensitive. KDD 1999: 155-164
• 
  Guozhu Dong, Jinyan Li:
  Efficient Mining of Emerging Patterns: Discovering Trends and Differences. KDD 1999: 43-52
• 
  Jochen Dörre, Peter Gerstl, Roland Seiffert:
  Text Mining: Finding Nuggets in Mountains of Textual Data. KDD 1999: 398-401
• 
  William DuMouchel, Chris Volinsky, Theodore Johnson, Corinna Cortes, Daryl Pregibon:
  Squashing Flat Files Flatter. KDD 1999: 6-15
• 
  Wei Fan, Salvatore J. Stolfo, Junxin Zhang:
  The Application of AdaBoost for Distributed, Scalable and On-Line Learning. KDD 1999: 362-366
• 
  Tom Fawcett, Foster J. Provost:
  Activity Monitoring: Noticing Interesting Changes in Behavior. KDD 1999: 53-62
• 
  Scott Gaffney, Padhraic Smyth:
  Trajectory Clustering with Mixtures of Regression Models. KDD 1999: 63-72
• 
  Venkatesh Ganti, Johannes Gehrke, Raghu Ramakrishnan:
  CACTUS - Clustering Categorical Data Using Summaries. KDD 1999: 73-83
• 
  Valery Guralnik, Jaideep Srivastava:
  Event Detection from Time Series Data. KDD 1999: 33-42

skipping 35 more matches