C4.5: programs for machine learning
C4.5: programs for machine learning
Towards efficiency and portability: programming with the BSP model
Proceedings of the eighth annual ACM symposium on Parallel algorithms and architectures
Using the BSP cost model to optimise parallel neural network training
Future Generation Computer Systems - Special issue: Bio-inspired solutions to parallel processing problems
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
IEEE Transactions on Parallel and Distributed Systems
High performance data mining (tutorial PM-3)
Tutorial notes of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Systems support for scalable data mining
ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
Parallel data intensive computing in scientific and commercial applications
Parallel Computing - Parallel data-intensive algorithms and applications
High-performance data mining with skeleton-based structured parallel programming
Parallel Computing - Parallel data-intensive algorithms and applications
Design and Evaluation of a High-Level Interface for Data Mining
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
A Requirements Analysis for Parallel KDD Systems
IPDPS '00 Proceedings of the 15 IPDPS 2000 Workshops on Parallel and Distributed Processing
Parallelism in Knowledge Discovery Techniques
PARA '02 Proceedings of the 6th International Conference on Applied Parallel Computing Advanced Scientific Computing
Parallel and Distributed Data Mining: An Introduction
Revised Papers from Large-Scale Parallel Data Mining, Workshop on Large-Scale Parallel KDD Systems, SIGKDD
IEEE Transactions on Knowledge and Data Engineering
Practical Divisible Load Scheduling on Grid Platforms with APST-DV
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
Multiround Algorithms for Scheduling Divisible Loads
IEEE Transactions on Parallel and Distributed Systems
Parallel Algorithms for Distance-Based and Density-Based Outliers
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
From Parallel Data Mining to Grid-Enabled Distributed Knowledge Discovery
RSFDGrC '07 Proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Performance characterization of data mining benchmarks
Proceedings of the 2010 Workshop on Interaction between Compilers and Computer Architecture
Compiler and middleware support for scalable data mining
LCPC'01 Proceedings of the 14th international conference on Languages and compilers for parallel computing
A parallel optimization framework in grid environment
SMO'05 Proceedings of the 5th WSEAS international conference on Simulation, modelling and optimization
Journal of Parallel and Distributed Computing
Distributed learning with data reduction
Transactions on computational collective intelligence IV
An empirical study on mining sequential patterns in a grid computing environment
Expert Systems with Applications: An International Journal
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This article presents a set of cost measures that can be applied to parallel algorithms to predict their computation, data access, and communication performance. These measures make it possible to compare different parallel implementation strategies for data-mining techniques without benchmarking each one.