Abstract is missing.
- Parallel and Distributed Data Mining: An IntroductionMohammed Javeed Zaki. 1-23 [doi]
- The Integrated Delivery of Large-Scale Data Mining: The ACSys Data Mining ProjectGraham J. Williams, Irfan Altas, Sergey Bakin, Peter Christen, Markus Hegland, Alonso Marquez, Peter Milne, Rajehndra Nagappan, Stephen Roberts. 24-55 [doi]
- A High Performance Implementation of the Data Space Transfer Protocol (DSTP)Stuart Bailey, Emory Creel, Robert L. Grossman, Srinath Gutti, Harimath Sivakumar. 55-64 [doi]
- Active Mining in a Distributed SettingSrinivasan Parthasarathy, Sandhya Dwarkadas, Mitsunori Ogihara. 65-82 [doi]
- Efficient Parallel Algorithms for Mining AssociationsMahesh V. Joshi, Eui-Hong Han, George Karypis, Vipin Kumar. 83-126 [doi]
- Parallel Branch-and-Bound Graph Search for Correlated Association RulesShinichi Morishita, Akihiro Nakaya. 127-144 [doi]
- Parallel Generalized Association Rule Mining on Large Scale PC ClusterTakahiko Shintani, Masaru Kitsuregawa. 145-160 [doi]
- Parallel Sequence Mining on Shared-Memory MachinesMohammed Javeed Zaki. 161-189 [doi]
- Parallel Predictor GenerationDavid B. Skillicorn. 190-196 [doi]
- Efficient Parallel Classification Using Dimensional AggregatesSanjay Goil, Alok N. Choudhary. 197-210 [doi]
- Learning Rules from Distributed DataLawrence O. Hall, Nitesh V. Chawla, Kevin W. Bowyer, W. Philip Kegelmeyer. 211-220 [doi]
- Collective, Hierarchical Clustering from Distributed, Heterogeneous DataErik L. Johnson, Hillol Kargupta. 221-244 [doi]
- A Data-Clustering Algorithm on Distributed Memory MultiprocessorsInderjit S. Dhillon, Dharmendra S. Modha. 245-260 [doi]