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Efficient Mining of Frequent Item Sets on Large Uncertain Databases

https://doi.org/10.1109/tkde.2011.165

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-0-387-69935-6_15openalex-snapshot

Approximate Frequent Itemset Mining In the Presence of Random Noise

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Mining Frequent Itemsets from Uncertain Data

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Mining Vague Association Rules

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Temporal Databases: Research and Practice

inferredcites →https://doi.org/10.1007/bfb0053708openalex-snapshot

Querying the uncertain position of moving objects

inferredcites →https://doi.org/10.1007/s00778-006-0004-3openalex-snapshot

Efficient query evaluation on probabilistic databases

inferredcites →https://doi.org/10.1007/s00778-007-0080-zopenalex-snapshot

Databases with uncertainty and lineage

inferredcites →https://doi.org/10.1016/b978-012088469-8.50053-xopenalex-snapshot

Model-Driven Data Acquisition in Sensor Networks

inferredcites →https://doi.org/10.1016/b978-012088469-8.50076-0openalex-snapshot

Efficient Query evaluation on Probabilistic Databases

inferredcites →https://doi.org/10.1016/b978-012088469-8/50053-xopenalex-snapshot

Model-Driven Data Acquisition in Sensor Networks1

inferredcites →https://doi.org/10.1016/b978-012088469-8/50076-0openalex-snapshot

Efficient Query evaluation on Probabilistic Databases

inferredcites →https://doi.org/10.1109/icde.1996.492094openalex-snapshot

Maintenance of discovered association rules in large databases: an incremental updating technique

inferredcites →https://doi.org/10.1109/icde.2009.26openalex-snapshot

Decision Trees for Uncertain Data

inferredcites →https://doi.org/10.1109/icdm.2005.38openalex-snapshot

CanTree: A Tree Structure for Efficient Incremental Mining of Frequent Patterns

inferredcites →https://doi.org/10.1109/icdm.2009.90openalex-snapshot

Naive Bayes Classification of Uncertain Data

inferredcites →https://doi.org/10.1109/ideas.2003.1214917openalex-snapshot

Incremental mining of frequent patterns without candidate generation or support constraint

inferredcites →https://doi.org/10.1109/tkde.2008.135openalex-snapshot

Efficient Evaluation of Probabilistic Advanced Spatial Queries on Existentially Uncertain Data

inferredcites →https://doi.org/10.1109/tkde.2008.190openalex-snapshot

A Survey of Uncertain Data Algorithms and Applications

inferredcites →https://doi.org/10.1137/1.9781611972726.29openalex-snapshot

Mining Frequent Itemsets in Evolving Databases

inferredcites →https://doi.org/10.1142/9789812819536_0020openalex-snapshot

A General Incremental Technique for Maintaining Discovered Association Rules

inferredcites →https://doi.org/10.1145/1081870.1081955openalex-snapshot

Density-based clustering of uncertain data

inferredcites →https://doi.org/10.1145/1140104.1140114openalex-snapshot

Towards correcting input data errors probabilistically using integrity constraints

inferredcites →https://doi.org/10.1145/1247480.1247513openalex-snapshot

Sketching probabilistic data streams

inferredcites →https://doi.org/10.1145/1376616.1376686openalex-snapshot

MCDB

inferredcites →https://doi.org/10.1145/1376616.1376698openalex-snapshot

Finding frequent items in probabilistic data

inferredcites →https://doi.org/10.1145/1557019.1557030openalex-snapshot

Frequent pattern mining with uncertain data

inferredcites →https://doi.org/10.1145/1557019.1557039openalex-snapshot

Probabilistic frequent itemset mining in uncertain databases

inferredcites →https://doi.org/10.1145/1559845.1559984openalex-snapshot

MayBMS

inferredcites →https://doi.org/10.1145/170035.170072openalex-snapshot

Mining association rules between sets of items in large databases

inferredcites →https://doi.org/10.1145/1835804.1835841openalex-snapshot

Mining uncertain data with probabilistic guarantees

inferredcites →https://doi.org/10.1145/1871437.1871494openalex-snapshot

Accelerating probabilistic frequent itemset mining

inferredcites →https://doi.org/10.1145/273244.273257openalex-snapshot

Mining fuzzy association rules in databases

inferredcites →https://doi.org/10.1145/335191.335372openalex-snapshot

Mining frequent patterns without candidate generation

inferredcites →https://doi.org/10.1145/342009.335372openalex-snapshot

Mining frequent patterns without candidate generation

inferredcites →https://doi.org/10.1145/872757.872823openalex-snapshot

Evaluating probabilistic queries over imprecise data

inferredcites →https://doi.org/10.1214/lnms/1215466568openalex-snapshot

Approximate computation of expectations

inferredcites →https://doi.org/10.17723/aarc.24.3.y36258ju1j434001openalex-snapshot

Information Retrieval

inferredcites →https://doi.org/10.2140/pjm.1960.10.1181openalex-snapshot

An approximation theorem for the Poisson binomial distribution

inferredcites →https://doi.org/10.5555/1182635.1164209openalex-snapshot

ULDBs: databases with uncertainty and lineage

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Uncertain Spatial Data Management: An Overview

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Probabilistic Maximal Frequent Itemset Mining Over Uncertain Databases

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A Parallel Algorithm of Mining Frequent Pattern on Uncertain Data Streams

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Parallel and Distributed Mining of Probabilistic Frequent Itemsets Using Multiple GPUs

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Exact Incremental Mining for Frequent Item Set on Large Evolving Database (Correlation of Attributes in Evolving Database)

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Mining of High-Utility Patterns in Big IoT-based Databases

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ITUFP: A fast method for interactive mining of Top-K frequent patterns from uncertain data

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GMiner++: Boosting GPU-based frequent itemset mining by reducing redundant computations

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Uncertainty oriented pattern extracting and analyzing via sliding window control

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A new efficient approach for mining uncertain frequent patterns using minimum data structure without false positives

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FARP: Mining fuzzy association rules from a probabilistic quantitative database

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Dual incremental fuzzy schemes for frequent itemsets discovery in streaming numeric data

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ILUNA: Single-pass incremental method for uncertain frequent pattern mining without false positives

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Efficient Algorithms for Mining Erasable Closed Patterns From Product Datasets

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