On the public citation graph

Discovery of Delta Closed Patterns and Noninduced Patterns from Sequences

https://doi.org/10.1109/tkde.2011.100

0 signed · 60 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

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

inferredcites →https://doi.org/10.1007/3-540-45065-3_21openalex-snapshot

Generalization of Pattern-Growth Methods for Sequential Pattern Mining with Gap Constraints

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

Discovering Frequent Closed Itemsets for Association Rules

inferredcites →https://doi.org/10.1007/3-540-56024-6_19openalex-snapshot

Color Set Size problem with applications to string matching

inferredcites →https://doi.org/10.1007/978-3-642-16001-1_13openalex-snapshot

Discovery of Non-induced Patterns from Sequences

inferredcites →https://doi.org/10.1007/bfb0014140openalex-snapshot

Mining sequential patterns: Generalizations and performance improvements

inferredcites →https://doi.org/10.1016/0031-3203(96)89718-4openalex-snapshot

Pattern detection in biomolecules using synthesized random sequence

inferredcites →https://doi.org/10.1023/b:dami.0000031631.84034.afopenalex-snapshot

Mining Surprising Periodic Patterns

inferredcites →https://doi.org/10.1038/nbt1053openalex-snapshot

Assessing computational tools for the discovery of transcription factor binding sites

inferredcites →https://doi.org/10.1089/10665270050081397openalex-snapshot

Efficient Detection of Unusual Words

inferredcites →https://doi.org/10.1093/bioinformatics/17.suppl_1.s207openalex-snapshot

An algorithm for finding signals of unknown length in DNA sequences

inferredcites →https://doi.org/10.1093/bioinformatics/17.suppl_1.s30openalex-snapshot

Separating real motifs from their artifacts

inferredcites →https://doi.org/10.1093/nar/gkf669openalex-snapshot

Discovery of novel transcription factor binding sites by statistical overrepresentation

inferredcites →https://doi.org/10.1109/34.106998openalex-snapshot

Synthesis and recognition of sequences

inferredcites →https://doi.org/10.1109/69.649314openalex-snapshot

High-order pattern discovery from discrete-valued data

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

Mining sequential patterns

inferredcites →https://doi.org/10.1109/icde.2001.914830openalex-snapshot

PrefixSpan,: mining sequential patterns efficiently by prefix-projected pattern growth

inferredcites →https://doi.org/10.1109/icde.2004.1319986openalex-snapshot

BIDE: efficient mining of frequent closed sequences

inferredcites →https://doi.org/10.1109/icdm.2006.1openalex-snapshot

\delta-Tolerance Closed Frequent Itemsets

inferredcites →https://doi.org/10.1109/icdm.2008.144openalex-snapshot

Efficient Discovery of Statistically Significant Association Rules

inferredcites →https://doi.org/10.1109/tkde.2006.32openalex-snapshot

On characterization and discovery of minimal unexpected patterns in rule discovery

inferredcites →https://doi.org/10.1111/j.1467-8640.1990.tb00129.xopenalex-snapshot

APACS: a system for the automatic analysis and classification of conceptual patterns

inferredcites →https://doi.org/10.1137/1.9781611972733.15openalex-snapshot

CloSpan: Mining: Closed Sequential Patterns in Large Datasets

inferredcites →https://doi.org/10.1137/1.9781611972788.28openalex-snapshot

Efficiently Mining Closed Subsequences with Gap Constraints

inferredcites →https://doi.org/10.1145/1014052.1014114openalex-snapshot

IncSpan

inferredcites →https://doi.org/10.1145/1132960.1132963openalex-snapshot

Interestingness measures for data mining

inferredcites →https://doi.org/10.1145/1281192.1281240openalex-snapshot

Mining statistically important equivalence classes and delta-discriminative emerging patterns

inferredcites →https://doi.org/10.1145/1297332.1297338openalex-snapshot

Assessing data mining results via swap randomization

inferredcites →https://doi.org/10.1145/319950.320010openalex-snapshot

Incremental and interactive sequence mining

inferredcites →https://doi.org/10.1145/502512.502571openalex-snapshot

Infominer

inferredcites →https://doi.org/10.1145/775047.775128openalex-snapshot

Finding surprising patterns in a time series database in linear time and space

inferredcites →https://doi.org/10.1201/9781420036275-15openalex-snapshot

Lookup Tables, Suffix Trees and Suffix Arrays

inferredcites →https://doi.org/10.2307/2529686openalex-snapshot

The Analysis of Residuals in Cross-Classified Tables

inferredcites →https://doi.org/10.3233/ida-2008-12103openalex-snapshot

Contiguous item sequential pattern mining using UpDown Tree

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s10707-025-00535-1openalex-snapshot

Mining targeted spatio-temporal sequential patterns

inferred← citeshttps://doi.org/10.1016/j.ymeth.2016.07.018openalex-snapshot

Prediction of Protein–Protein Interaction via co-occurring Aligned Pattern Clusters

inferred← citeshttps://doi.org/10.1093/bioinformatics/btw211openalex-snapshot

Partitioning and correlating subgroup characteristics from Aligned Pattern Clusters

inferred← citeshttps://doi.org/10.1109/access.2016.2624418openalex-snapshot

An Effective Pattern Pruning and Summarization Method Retaining High Quality Patterns With High Area Coverage in Relational Datasets

inferred← citeshttps://doi.org/10.1109/bdai70753.2026.11655145openalex-snapshot

Discovering Rare Group-Oriented Spatio-Temporal Sequential Patterns

inferred← citeshttps://doi.org/10.1109/bibm.2012.6392682openalex-snapshot

Identifying protein binding functionality of protein family sequences by Aligned Pattern clusters

inferred← citeshttps://doi.org/10.1109/bibm.2013.6732529openalex-snapshot

Confirming biological significance of co-occurrence clusters of aligned pattern clusters

inferred← citeshttps://doi.org/10.1109/bibm.2014.6999140openalex-snapshot

Discovering protein-DNA binding cores by aligned pattern clustering

inferred← citeshttps://doi.org/10.1109/bibm.2015.7359655openalex-snapshot

Predicting Protein-protein interaction using co-occurring Aligned Pattern Clusters

inferred← citeshttps://doi.org/10.1109/bibm.2017.8217620openalex-snapshot

Pattern-directed aligned pattern clustering

inferred← citeshttps://doi.org/10.1109/bibmw.2011.6112372openalex-snapshot

Synthesizing Aligned Random Pattern Digraphs from protein sequence patterns

inferred← citeshttps://doi.org/10.1109/bibmw.2012.6470286openalex-snapshot

Identifying protein binding functionality of protein family sequences by aligned pattern clusters

inferred← citeshttps://doi.org/10.1109/candar.2017.34openalex-snapshot

Discovery of δ-Tolerance Closed Subgraphs on GPGPU

inferred← citeshttps://doi.org/10.1109/inpac.2014.6981148openalex-snapshot

Finding redundant patterns with gaps in sequential data

inferred← citeshttps://doi.org/10.1109/tcbb.2014.2306840openalex-snapshot

Aligning and Clustering Patterns to Reveal the Protein Functionality of Sequences

inferred← citeshttps://doi.org/10.1109/tcbb.2015.2474376openalex-snapshot

Discovering Protein-DNA Binding Cores by Aligned Pattern Clustering

inferred← citeshttps://doi.org/10.1109/tkde.2014.2310219openalex-snapshot

Discovery of Temporal Associations in Multivariate Time Series

inferred← citeshttps://doi.org/10.1109/tkde.2015.2454515openalex-snapshot

Mining Temporal Patterns in Time Interval-Based Data

inferred← citeshttps://doi.org/10.1109/tnb.2018.2845741openalex-snapshot

Discovering Patterns From Sequences Using Pattern-Directed Aligned Pattern Clustering

inferred← citeshttps://doi.org/10.1145/2506583.2506630openalex-snapshot

Classifying Proteins by Amino Acid Variations of Sequential Patterns

inferred← citeshttps://doi.org/10.1145/2506583.2506697openalex-snapshot

Revealing Protein Structures by Co-Occurrence Clustering of Aligned Pattern Clusters

inferred← citeshttps://doi.org/10.1145/2506583.2512357openalex-snapshot

Characterizing Amino Acid Variations of Scavenger Receptors by Class Information Gain

inferred← citeshttps://doi.org/10.1145/2700484openalex-snapshot

Significant Correlation Pattern Mining in Smart Homes

inferred← citeshttps://doi.org/10.1186/1471-2105-15-s12-s2openalex-snapshot

Discovering co-occurring patterns and their biological significance in protein families

inferred← citeshttps://doi.org/10.1186/1477-5956-11-s1-s8openalex-snapshot

Ranking and compacting binding segments of protein families using aligned pattern clusters

inferred← citeshttps://doi.org/10.1186/s40537-023-00780-xopenalex-snapshot

Discovery of crime event sequences with constricted spatio-temporal sequential patterns

inferred← citeshttps://doi.org/10.36255/exonpublications.bioinformatics.2021.ch8openalex-snapshot

WeMine Aligned Pattern Clustering System for Biosequence Pattern Analysis

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.