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Parallel and Distributed Data Mining
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-48080-3_3openalex-snapshot
A Data Mining Architecture for Distributed Environments
inferredcites →https://doi.org/10.1007/3-540-64383-4_24openalex-snapshot
Mining algorithms for sequential patterns in parallel : Hash based approach
inferredcites →https://doi.org/10.1007/978-1-4615-5521-6openalex-snapshot
Mining Very Large Databases with Parallel Processing
inferredcites →https://doi.org/10.1007/978-3-662-12405-5_11openalex-snapshot
Learning from Observation: Conceptual Clustering
inferredcites →https://doi.org/10.1007/bf00114265openalex-snapshot
Knowledge Acquisition Via Incremental Conceptual Clustering
inferredcites →https://doi.org/10.1007/bf00116898openalex-snapshot
Scaling Up Inductive Learning with Massive Parallelism
inferredcites →https://doi.org/10.1007/bf01264049openalex-snapshot
Parallel database systems: Open problems and new issues
inferredcites →https://doi.org/10.1007/bfb0014140openalex-snapshot
Mining sequential patterns: Generalizations and performance improvements
inferredcites →https://doi.org/10.1007/bfb0100618openalex-snapshot
An architecture for distributed enterprise data mining
inferredcites →https://doi.org/10.1007/s10115-004-0176-3openalex-snapshot
A high-performance distributed algorithm for mining association rules
inferredcites →https://doi.org/10.1016/0167-8191(89)90036-7openalex-snapshot
Parallel clustering algorithms
inferredcites →https://doi.org/10.1016/0167-8191(95)00017-iopenalex-snapshot
Parallel algorithms for hierarchical clustering
inferredcites →https://doi.org/10.1016/0743-7315(90)90105-xopenalex-snapshot
Parallel squared error clustering on hypercube arrays
inferredcites →https://doi.org/10.1016/s0923-0459(97)80014-6openalex-snapshot
Decision trees on parallel processors
inferredcites →https://doi.org/10.1023/a:1009836926181openalex-snapshot
Effect of Data Distribution in Parallel Mining of Associations
inferredcites →https://doi.org/10.1023/a:1009876119989openalex-snapshot
A Survey of Methods for Scaling Up Inductive Algorithms
inferredcites →https://doi.org/10.1109/34.709614openalex-snapshot
Large-scale parallel data clustering
inferredcites →https://doi.org/10.1109/4434.806975openalex-snapshot
Parallel and distributed association mining: a survey
inferredcites →https://doi.org/10.1109/4434.806976openalex-snapshot
Strategies for parallel data mining
inferredcites →https://doi.org/10.1109/69.553164openalex-snapshot
Parallel mining of association rules
inferredcites →https://doi.org/10.1109/71.89059openalex-snapshot
Clustering on a hypercube multicomputer
inferredcites →https://doi.org/10.1109/icde.1998.655794openalex-snapshot
A tightly-coupled architecture for data mining
inferredcites →https://doi.org/10.1109/icdm.2003.1250932openalex-snapshot
A high-performance distributed algorithm for mining association rules
inferredcites →https://doi.org/10.1109/ipps.1999.760532openalex-snapshot
Parallel out-of-core divide-and-conquer techniques with application to classification trees
inferredcites →https://doi.org/10.1109/massp.1987.1165576openalex-snapshot
An introduction to computing with neural nets
inferredcites →https://doi.org/10.1109/mcc.1999.806974openalex-snapshot
Parallel and distributed computing for data mining
inferredcites →https://doi.org/10.1109/pdis.1996.568664openalex-snapshot
Hash based parallel algorithms for mining association rules
inferredcites →https://doi.org/10.1145/191246.191314openalex-snapshot
Finding interesting rules from large sets of discovered association rules
inferredcites →https://doi.org/10.1145/240455.240464openalex-snapshot
The KDD process for extracting useful knowledge from volumes of data
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/10.1145/276304.276307openalex-snapshot
Exploratory mining and pruning optimizations of constrained associations rules
inferredcites →https://doi.org/10.1145/288627.288643openalex-snapshot
Efficient enumeration of frequent sequences
inferredcites →https://doi.org/10.1145/369028.369117openalex-snapshot
Parallel data mining for association rules on shared-memory multi-processors
inferredcites →https://doi.org/10.5860/choice.27-0936openalex-snapshot
Genetic algorithms in search, optimization, and machine learning
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/widm.1090openalex-snapshot
Data mining and life sciences applications on the grid
inferred← citeshttps://doi.org/10.1007/978-3-030-30859-9_8openalex-snapshot
Data Mining Algorithms Parallelization in Logic Programming Framework for Execution in Cluster
inferred← citeshttps://doi.org/10.1007/978-3-319-20910-4_10openalex-snapshot
Constructing Parallel Association Algorithms from Function Blocks
inferred← citeshttps://doi.org/10.1007/978-3-319-21909-7_6openalex-snapshot
Creation of Data Mining Algorithms as Functional Expression for Parallel and Distributed Execution
inferred← citeshttps://doi.org/10.1007/978-3-319-23126-6_13openalex-snapshot
Data Mining Algorithms Parallelizing in Functional Programming Language for Execution in Cluster
inferred← citeshttps://doi.org/10.1007/978-3-319-62932-2_44openalex-snapshot
A Functional Approach to Parallelizing Data Mining Algorithms in Java
inferred← citeshttps://doi.org/10.1007/978-981-10-2035-3_21openalex-snapshot
Comparative Study of Parallelism on Data Mining
inferred← citeshttps://doi.org/10.1007/978-981-13-1882-5_46openalex-snapshot
Parallel Prediction Algorithms for Heterogeneous Data: A Case Study with Real-Time Big Datasets
inferred← citeshttps://doi.org/10.1007/978-981-99-4284-8_9openalex-snapshot
Association Rule Mining in Distributed Environment: A Survey
inferred← citeshttps://doi.org/10.1016/j.neucom.2013.05.046openalex-snapshot
Evolutionary k-means for distributed data sets
inferred← citeshttps://doi.org/10.1016/j.neucom.2014.07.083openalex-snapshot
Comparison of distributed evolutionary k-means clustering algorithms
inferred← citeshttps://doi.org/10.1109/bigcomp.2018.00045openalex-snapshot
MR-Mafia: Parallel Subspace Clustering Algorithm Based on MapReduce for Large Multi-dimensional Datasets
inferred← citeshttps://doi.org/10.1109/ccis.2011.6045065openalex-snapshot
Data mining using hierarchical virtual k-means approach integrating data fragments in cloud computing environment
inferred← citeshttps://doi.org/10.1109/meco.2015.7181919openalex-snapshot
Parallelization of data mining algorithms for multicore processors
inferred← citeshttps://doi.org/10.32604/csse.2019.34.259openalex-snapshot
A Survey and Systematic Categorization of Parallel K-Means and Fuzzy-C-Means Algorithms
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