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Shared memory parallelization of data mining algorithms: techniques, programming interface, and performance
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Cilk: An Efficient Multithreaded Runtime System
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PARSIMONY: An Infrastructure for Parallel Multidimensional Analysis and Data Mining
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Parallel Formulations of Decision-Tree Classification Algorithms
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Compiler and Runtime Support for Shared Memory Parallelization of Data Mining Algorithms
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Efficient Parallel Classification Using Dimensional Aggregates
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A Data-Clustering Algorithm on Distributed Memory Multiprocessors
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Mining of Association Rules in Very Large Databases: A Structured Parallel Approach⋆
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On the Automatic Parallelization of Sparse and Irregular Fortran Programs
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SLIQ: A fast scalable classifier for data mining
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Parallel Data Mining for Association Rules on Shared-Memory Systems
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Algorithms for clustering data
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Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
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RainForest—A Framework for Fast Decision Tree Construction of Large Datasets
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A Survey of Methods for Scaling Up Inductive Algorithms
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Algorithms for Clustering Data
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Run-time parallelization and scheduling of loops
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Maximizing multiprocessor performance with the SUIF compiler
inferredcites →https://doi.org/10.1109/4434.806975openalex-snapshot
Parallel and distributed association mining: a survey
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Strategies for parallel data mining
inferredcites →https://doi.org/10.1109/69.250074openalex-snapshot
Database mining: a performance perspective
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Parallel mining of association rules
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Scalable parallel data mining for association rules
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Efficient C4.5 [classification algorithm]
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OpenMP: an industry standard API for shared-memory programming
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Parallel classification for data mining on shared-memory multiprocessors
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Parallel formulations of decision-tree classification algorithms
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An efficient association mining implementation on cluster of SMPs
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A compilation framework for distributed memory parallelization of data mining algorithms
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ScalParC: a new scalable and efficient parallel classification algorithm for mining large datasets
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A Middleware for Developing Parallel Data Mining Applications
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An effective hash-based algorithm for mining association rules
inferredcites →https://doi.org/10.1145/253260.253325openalex-snapshot
Dynamic itemset counting and implication rules for market basket data
inferredcites →https://doi.org/10.1145/253260.253330openalex-snapshot
Scalable parallel data mining for association rules
inferredcites →https://doi.org/10.1145/253262.253330openalex-snapshot
Scalable parallel data mining for association rules
inferredcites →https://doi.org/10.1145/2591635.2667180openalex-snapshot
Adaptive reduction parallelization techniques
inferredcites →https://doi.org/10.1145/263764.263772openalex-snapshot
Compiler and software distributed shared memory support for irregular applications
inferredcites →https://doi.org/10.1145/304181.304197openalex-snapshot
BOAT—optimistic decision tree construction
inferredcites →https://doi.org/10.1145/304182.304197openalex-snapshot
BOAT—optimistic decision tree construction
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Mining frequent patterns without candidate generation
inferredcites →https://doi.org/10.1145/335231.335233openalex-snapshot
Compiling object-oriented data intensive applications
inferredcites →https://doi.org/10.1145/335231.335238openalex-snapshot
Adaptive reduction parallelization techniques
inferredcites →https://doi.org/10.1145/335231.335239openalex-snapshot
A compiler method for the parallel execution of irregular reductions in scalable shared memory multiprocessors
inferredcites →https://doi.org/10.1145/342009.335372openalex-snapshot
Mining frequent patterns without candidate generation
inferredcites →https://doi.org/10.1145/369028.369117openalex-snapshot
Parallel data mining for association rules on shared-memory multi-processors
inferredcites →https://doi.org/10.1145/380995.381010openalex-snapshot
Distributed data clustering can be efficient and exact
inferredcites →https://doi.org/10.1145/511334.511350openalex-snapshot
Performance prediction for random write reductions
inferredcites →https://doi.org/10.1145/511399.511350openalex-snapshot
Performance prediction for random write reductions
inferredcites →https://doi.org/10.1145/568271.223813openalex-snapshot
An effective hash-based algorithm for mining association rules
inferredcites →https://doi.org/10.21236/ada363531openalex-snapshot
A Parallel, Multithreaded Decision Tree Builder
inferredcites →https://doi.org/10.5860/choice.49-3305openalex-snapshot
Data mining: concepts and techniques
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Compiler and Runtime Support for Shared Memory Parallelization of Data Mining Algorithms
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