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Summarizing itemset patterns

https://doi.org/10.1145/1081870.1081907

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What this work says

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

inferredcites →https://doi.org/10.1007/3-540-45681-3_7openalex-snapshot

Mining All Non-derivable Frequent Itemsets

inferredcites →https://doi.org/10.1007/3-540-49257-7_25openalex-snapshot

Discovering Frequent Closed Itemsets for Association Rules

inferredcites →https://doi.org/10.1007/978-1-4612-0865-5_26openalex-snapshot

Probability Inequalities for sums of Bounded Random Variables

inferredcites →https://doi.org/10.1007/978-3-540-39804-2_30openalex-snapshot

The Pattern Ordering Problem

inferredcites →https://doi.org/10.1080/01621459.1963.10500830openalex-snapshot

Probability Inequalities for Sums of Bounded Random Variables

inferredcites →https://doi.org/10.1109/icde.1995.380415openalex-snapshot

Mining sequential patterns

inferredcites →https://doi.org/10.1109/icdm.2002.1183905openalex-snapshot

Mining top-k frequent closed patterns without minimum support

inferredcites →https://doi.org/10.1109/icdm.2002.1183928openalex-snapshot

On computing condensed frequent pattern bases

inferredcites →https://doi.org/10.1109/icdm.2003.1250900openalex-snapshot

Frequent sub-structure-based approaches for classifying chemical compounds

inferredcites →https://doi.org/10.1109/tkde.2003.1161582openalex-snapshot

Alternative interest measures for mining associations in databases

inferredcites →https://doi.org/10.1109/tkde.2003.1245281openalex-snapshot

Beyond independence: probabilistic models for query approximation on binary transaction data

inferredcites →https://doi.org/10.1145/1007568.1007607openalex-snapshot

Graph indexing

inferredcites →https://doi.org/10.1145/1014052.1014057openalex-snapshot

Approximating a collection of frequent sets

inferredcites →https://doi.org/10.1145/1014052.1014086openalex-snapshot

Support envelopes

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

Mining association rules between sets of items in large databases

inferredcites →https://doi.org/10.1145/263661.263684openalex-snapshot

Data mining, hypergraph transversals, and machine learning (extended abstract)

inferredcites →https://doi.org/10.1145/276304.276313openalex-snapshot

Efficiently mining long patterns from databases

inferredcites →https://doi.org/10.1145/290941.290970openalex-snapshot

Distributional clustering of words for text classification

inferredcites →https://doi.org/10.1145/319950.320054openalex-snapshot

Clustering transactions using large items

inferredcites →https://doi.org/10.1145/380995.381033openalex-snapshot

KDD-Cup 2000 organizers' report

inferredcites →https://doi.org/10.1145/502512.502539openalex-snapshot

Efficient discovery of error-tolerant frequent itemsets in high dimensions

inferredcites →https://doi.org/10.1145/775047.775053openalex-snapshot

Selecting the right interestingness measure for association patterns

inferredcites →https://doi.org/10.1145/974614.974655openalex-snapshot

Mining protein family specific residue packing patterns from protein structure graphs

inferredcites →https://doi.org/10.5555/257734.257766openalex-snapshot

Experiments on the effectiveness of dataflow- and control-flow-based test adequacy criteria

inferredcites →https://doi.org/10.5555/944919.944973openalex-snapshot

A divisive information theoretic feature clustering algorithm for text classification

What points at this work

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Transaction Databases, Frequent Itemsets, and Their Condensed Representations

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Summarizing Frequent Patterns Using Profiles

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Clustering Zebrafish Genes Based on Frequent-Itemsets and Frequency Levels

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IMCS: Incremental Mining of Closed Sequential Patterns

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MINI: Mining Informative Non-redundant Itemsets

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Decomposable Families of Itemsets

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ESTATE: Strategy for Exploring Labeled Spatial Datasets Using Association Analysis

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Cube Based Summaries of Large Association Rule Sets

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Optimal constraint-based decision tree induction from itemset lattices

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Krimp: mining itemsets that compress

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Interpretation of text patterns

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Mining Frequent Generalized Itemsets and Generalized Association Rules Without Redundancy

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Iterative sampling based frequent itemset mining for big data

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ALGAN: Time Series Anomaly Detection with Adjusted-LSTM GAN

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A New Concise Representation Method of Generalized Frequent Itemsets

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Relevance Feature Discovery for Text Mining

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Conceptual annotation of text patterns

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Low-Entropy Set Selection

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M usk : Uniform Sampling of k Maximal Patterns

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Semantic annotation of frequent patterns

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CP-summary

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TSum

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Condensed representation of frequent itemsets

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Output space sampling for graph patterns

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Approximate Homogeneous Graph Summarization

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Construction de profils folksonomiques pour la Recherche d'Information.

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Interactivity Closes the Gap

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Summarization in Pattern Mining

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Exploring Disease Association from the NHANES Data

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Exploring Disease Association from the NHANES Data

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Diversifying Search Results through Pattern-Based Subtopic Modeling

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Graph Summarization Methods and Applications: A Survey

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Mining Insights from Weakly-Structured Event Data

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New advances in enumerative biclustering algorithms with online partitioning

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Efficiently Finding a Maximal Clique Summary via Effective Sampling

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An Apriori Based Algorithm to Mine Association Rules with Inter Itemset Distance

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Reduction of Number of Association Rules with Inter Itemset Distance in Transaction Databases

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Discovering diverse-frequent patterns in transactional databases

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Exploration de grands ensembles de motifs.

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Un cadre générique pour les modèles globaux fondés sur les motifs locaux

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