Systems and techniques for distributed and stream data mining
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Summary
Some significative examples of distributed and Grid-oriented knowledge discovery systems are analyzed, which can take advantage of the recent advances in computational and data Grid, and are considered as the building blocks for realizing seamless distributed knowledge extraction processes and systems.
- Type
- article
- Published
- 2006-01-01
- Cited by
- 3
- References
- 44
- OpenAlex
- https://openalex.org/W113776889
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:15571814
Keywords
Computer science, Knowledge extraction, Data stream mining, Grid, Distributed knowledge
References
- From TeraGrid to Knowledge Grid.
- Finding frequent items in data streams
- A Fast Parallel Clustering Algorithm for Large Spatial Databases
- Grid Computing: Making the Global Infrastructure a Reality
- Advances in Distributed and Parallel Knowledge Discovery
- An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization
- Data mining on NASA's Information Power Grid
- A fast distributed algorithm for mining association rules
- Streaming-data algorithms for high-quality clustering
- Distributed data clustering can be efficient and exact
- Communication-Efficient Distributed Mining of Association Rules
- Discovery net: towards a grid of knowledge discovery
- Models and issues in data stream systems
- Parallel and distributed association mining: a survey
- Finding Repeated Elements
- Mining time-changing data streams
- Computational and data Grids in large-scale science and engineering
- Mining high-speed data streams
- InfoGrid: providing information integration for knowledge discovery
- The knowledge grid
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