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Mining Compressing Sequential Patterns
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Outgoing claims: the papers this work cites, builds on, or argues with.
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StreamKrimp: Detecting Change in Data Streams
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Efficient mining of all margin-closed itemsets with applications in temporal knowledge discovery and classification by compression
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Compression-based data mining of sequential data
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On data mining, compression, and Kolmogorov complexity
inferredcites →https://doi.org/10.1007/s10618-010-0202-xopenalex-snapshot
Krimp: mining itemsets that compress
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Maximum entropy models and subjective interestingness: an application to tiles in binary databases
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On the complexity of iterated shuffle
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Practical Nonparametric Statistics
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BIDE: efficient mining of frequent closed sequences
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A Method for the Construction of Minimum-Redundancy Codes
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Managing Gigabytes: Compressing and Indexing Documents and Images
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Mining sequential patterns by pattern-growth: the PrefixSpan approach
inferredcites →https://doi.org/10.1126/science.298.5594.824openalex-snapshot
Network Motifs: Simple Building Blocks of Complex Networks
inferredcites →https://doi.org/10.1137/080729256openalex-snapshot
Inapproximability Results for Maximum Edge Biclique, Minimum Linear Arrangement, and Sparsest Cut
inferredcites →https://doi.org/10.1137/1.9781611972795.67openalex-snapshot
Randomization Techniques for Graphs
inferredcites →https://doi.org/10.1137/1.9781611972801.28openalex-snapshot
Robust mining of time intervals with semi-interval partial order patterns
inferredcites →https://doi.org/10.1137/1.9781611972818.59openalex-snapshot
Time Series Motifs Statistical Significance
inferredcites →https://doi.org/10.1137/1.9781611972825.28openalex-snapshot
Mining Compressing Sequential Patterns
inferredcites →https://doi.org/10.1145/1014052.1014064openalex-snapshot
Fully automatic cross-associations
inferredcites →https://doi.org/10.1145/1294301.1294302openalex-snapshot
Unsupervised pattern mining from symbolic temporal data
inferredcites →https://doi.org/10.1145/1297332.1297338openalex-snapshot
Assessing data mining results via swap randomization
inferredcites →https://doi.org/10.1145/1816112.1816119openalex-snapshot
Margin-closed frequent sequential pattern mining
inferredcites →https://doi.org/10.1145/1964897.1964920openalex-snapshot
A framework for mining interesting pattern sets
inferredcites →https://doi.org/10.1145/322344.322346openalex-snapshot
Data compression via textual substitution
inferredcites →https://doi.org/10.1215/01636545-2004-90-79openalex-snapshot
Hard Times in the New Economy
inferredcites →https://doi.org/10.21236/ada459025openalex-snapshot
Fully Automatic Cross-Associations
inferredcites →https://doi.org/10.48550/arxiv.1902.02834openalex-snapshot
The Long and the Short of It: Summarising Event Sequences with Serial Episodes
inferredcites →https://doi.org/10.7551/mitpress/4643.001.0001openalex-snapshot
The Minimum Description Length Principle
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Temporal interval pattern languages to characterize time flow
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Method evaluation, parameterization, and result validation in unsupervised data mining: A critical survey
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Data Summarization Techniques for Big Data—A Survey
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Interactive Interpretation of Serial Episodes: Experiments in Musical Analysis
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Sqn2Vec: Learning Sequence Representation via Sequential Patterns with a Gap Constraint
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A Framework for Pattern Mining and Anomaly Detection in Multi-dimensional Time Series and Event Logs
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Z-Embedding: A Spectral Representation of Event Intervals for Efficient Clustering and Classification
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Temporal Sequence Mining Using FCA and GALACTIC
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Pattern Mining: Current Challenges and Opportunities
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A Subjective Pattern Mining Literature Survey
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Introduction to Pattern Mining
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Mining and Using Sets of Patterns through Compression
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Big-SeqDB-Gen: A Formal and Scalable Approach for Parallel Generation of Big Synthetic Sequence Databases
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Analyzing Similarities of Datasets Using a Pattern Set Kernel
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Sequential Pattern Mining for ICT Risk Assessment and Prevention
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Overview on Sequential Mining Algorithms and Their Extensions
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Free-Rider Episode Screening via Dual Partition Model
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Medical Data Mining for Heart Diseases and the Future of Sequential Mining in Medical Field
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NetHAPP: High Average Utility Periodic Gapped Sequential Pattern Mining
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A user parameter-free approach for mining robust sequential classification rules
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Strict approximate pattern matching with general gaps
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Self-adaptive nonoverlapping sequential pattern mining
inferred← citeshttps://doi.org/10.1007/s10489-021-02912-3openalex-snapshot
NetNMSP: Nonoverlapping maximal sequential pattern mining
inferred← citeshttps://doi.org/10.1007/s10618-015-0404-3openalex-snapshot
Finding the longest common sub-pattern in sequences of temporal intervals
inferred← citeshttps://doi.org/10.1007/s10618-015-0419-9openalex-snapshot
Ranking episodes using a partition model
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Skopus: Mining top-k sequential patterns under leverage
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Ranking evolution maps for Satellite Image Time Series exploration: application to crustal deformation and environmental monitoring
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SMILE: a feature-based temporal abstraction framework for event-interval sequence classification
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PETSC: pattern-based embedding for time series classification
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The minimum description length principle for pattern mining: a survey
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SPEck: mining statistically-significant sequential patterns efficiently with exact sampling
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Hamming encoder: mining discriminative k-mers for discrete sequence classification
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On the Feasibility of Anomaly Detection with Fine-Grained Program Tracing Events
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Targeted and contextual redescription set exploration
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SWoTTeD: an extension of tensor decomposition to temporal phenotyping
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Clustering customer orders in a smart factory using sequential pattern mining
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Layered convolutional dictionary learning for sparse coding itemsets
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Strict pattern matching under non-overlapping condition
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Rare pattern mining: challenges and future perspectives
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HMP: Efficient heuristic algorithms for MDL-based itemset mining
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Mining frequent pyramid patterns from time series transaction data with custom constraints
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Predicting student performance using sequence classification with time-based windows
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NWP-Miner: Nonoverlapping weak-gap sequential pattern mining
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Role-based lateral movement detection with unsupervised learning
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Sequential pattern mining for ICT risk assessment and management
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Mining distinct and contiguous sequential patterns from large vehicle trajectories
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NetNCSP: Nonoverlapping closed sequential pattern mining
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HANP-Miner: High average utility nonoverlapping sequential pattern mining
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Mining concise patterns on graph-connected itemsets
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Sequence Compression and Alignment-Based Process Alarm Prediction
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The concept of sequential pattern mining for text
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NETASPNO: Approximate Strict Pattern Matching Under Nonoverlapping Condition
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Enhancing Unsupervised Requirements Traceability with Sequential Semantics
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Sequential Mining Classification
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Discovering Representative Attribute-stars via Minimum Description Length
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Mining Seasonal Temporal Patterns in Time Series
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A Parameter-Free Approach for Mining Robust Sequential Classification Rules
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A Survey of Repetitive Sequential Pattern Mining
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Finding Complementary and Reliable Patterns in Displacement Field Time Series of Alpine Glaciers
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NOSEP: Nonoverlapping Sequence Pattern Mining With Gap Constraints
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Top- k Self-Adaptive Contrast Sequential Pattern Mining
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Pattern Based Sequence Classification
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Mining Behavioral Sequence Constraints for Classification
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Process Discovery on Deviant Traces and Other Stranger Things
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CoNR-Miner: Self-Adaptive Co-Occurrence Nonoverlapping Sequential Rule Mining
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GRIMP : A Genetic Algorithm for Compression‐Based Descriptive Pattern Mining
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Efficient Permutation Testing for Significant Sequential Patterns
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Occupancy-Based Frequent Pattern Mining *
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A Subsequence Interleaving Model for Sequential Pattern Mining
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Parameter-free probabilistic API mining across GitHub
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Structural Event Detection from Log Messages
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Z-Miner: An Efficient Method for Mining Frequent Arrangements of Event Intervals
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Online summarizing alerts through semantic and behavior information
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Methods for Analyzing Medical-Order Sequence Variants in Sequential Pattern Mining for Electronic Medical Record Systems
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Efficient Depth-First Search Approach for Mining Injective General Episodes
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Breadth-First Search Approach for Mining Serial Episodes with Simultaneous Events
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TaSPM: Targeted Sequential Pattern Mining
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Efficient Depth-First Search Approach for Mining Frequent Chain Episodes
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Mining Repetitive Negative Sequential Patterns with Gap Constraints
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Approximate pattern matching with gap constraints
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Summarizing Event Sequence Database into Compact Big Sequence
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Top-k sequence pattern mining with non-overlapping condition
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Efficient Way to Identify User Aware Rare Sequential Patterns in Document Streams
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Leveraging Demonstrations for Learning the Structure and Parameters of Hierarchical Task Networks
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Association Rule Mining of Personal Hobbies in Social Networks
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Keeping it Short and Simple: Summarising Complex Event Sequences with Multivariate Patterns
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Efficiently Summarising Event Sequences with Rich Interleaving Patterns
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Mining Non-Redundant Local Process Models From Sequence Databases
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Mining Periodic Patterns with a MDL Criterion
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The Long and the Short of It: Summarising Event Sequences with Serial Episodes
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Summarizing Event Sequences with Serial Episodes: A Statistical Model and an Application
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Mining Insights from Weakly-Structured Event Data
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Efficiently Mining Temporal Patterns in Time Series Using Information Theory
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PTree: Mining Sequential Patterns Efficiently in Multiple Data Streams Environment
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Data mining and learning for markers extraction to improve the medical monitoring platforms
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Usage and Research Challenges in the Area of Frequent Pattern in Data Mining
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