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Efficient Mining of Outlying Sequence Patterns for Analyzing Outlierness of Sequence Data

https://doi.org/10.1145/3399671
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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-319-18120-2_3openalex-snapshot
Mining Itemset-based Distinguishing Sequential Patterns with Gap Constraint
inferredcites →https://doi.org/10.1007/978-3-319-31750-2_19openalex-snapshot
Parallel Discord Discovery
inferredcites →https://doi.org/10.1007/978-3-319-55699-4_15openalex-snapshot
Mining Top-k Distinguishing Temporal Sequential Patterns from Event Sequences
inferredcites →https://doi.org/10.1007/s10115-014-0766-7openalex-snapshot
Mining sequential patterns from probabilistic databases
inferredcites →https://doi.org/10.1007/s10115-017-1027-3openalex-snapshot
Contextual information fusion for intrusion detection: a survey and taxonomy
inferredcites →https://doi.org/10.1007/s10489-017-1104-zopenalex-snapshot
Trajectory outlier detection approach based on common slices sub-sequence
inferredcites →https://doi.org/10.1007/s10618-013-0315-0openalex-snapshot
A reference based analysis framework for understanding anomaly detection techniques for symbolic sequences
inferredcites →https://doi.org/10.1007/s10618-014-0398-2openalex-snapshot
Mining outlying aspects on numeric data
inferredcites →https://doi.org/10.1007/s10618-016-0453-2openalex-snapshot
Discovering outlying aspects in large datasets
inferredcites →https://doi.org/10.1007/s10618-016-0458-xopenalex-snapshot
Outlying property detection with numerical attributes
inferredcites →https://doi.org/10.1007/s10618-018-0569-7openalex-snapshot
Exact variable-length anomaly detection algorithm for univariate and multivariate time series
inferredcites →https://doi.org/10.1007/s11280-015-0350-4openalex-snapshot
An effective contrast sequential pattern mining approach to taxpayer behavior analysis
inferredcites →https://doi.org/10.1109/icde.1995.380415openalex-snapshot
Mining sequential patterns
inferredcites →https://doi.org/10.1109/icdm.2013.132openalex-snapshot
Explaining Outliers by Subspace Separability
inferredcites →https://doi.org/10.1109/icdm.2013.150openalex-snapshot
Mining Probabilistic Frequent Spatio-Temporal Sequential Patterns with Gap Constraints from Uncertain Databases
inferredcites →https://doi.org/10.1109/icdm.2018.00072openalex-snapshot
Deep Structure Learning for Fraud Detection
inferredcites →https://doi.org/10.1109/tkde.2010.235openalex-snapshot
Anomaly Detection for Discrete Sequences: A Survey
inferredcites →https://doi.org/10.1109/tkde.2016.2541149openalex-snapshot
Mining User-Aware Rare Sequential Topic Patterns in Document Streams
inferredcites →https://doi.org/10.1109/tsmcc.2013.2261984openalex-snapshot
A Framework for Periodic Outlier Pattern Detection in Time-Series Sequences
inferredcites →https://doi.org/10.1137/1.9781611972764.9openalex-snapshot
Mining for Outliers in Sequential Databases
inferredcites →https://doi.org/10.1137/1.9781611974348.4openalex-snapshot
Finding Surprisingly Frequent Patterns of Variable Lengths in Sequence Data
inferredcites →https://doi.org/10.1145/2247596.2247606openalex-snapshot
Mining probabilistically frequent sequential patterns in uncertain databases
inferredcites →https://doi.org/10.1145/2339530.2339578openalex-snapshot
Mining recent temporal patterns for event detection in multivariate time series data
inferredcites →https://doi.org/10.1145/2452376.2452403openalex-snapshot
Mining frequent serial episodes over uncertain sequence data
inferredcites →https://doi.org/10.1145/3219819.3220042openalex-snapshot
Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection
inferredcites →https://doi.org/10.1145/3308558.3313541openalex-snapshot
Anomaly Detection in the Dynamics of Web and Social Networks Using Associative Memory
inferredcites →https://doi.org/10.14778/3324301.3324308openalex-snapshot
Efficient discovery of sequence outlier patterns
inferredcites →https://doi.org/10.24963/ijcai.2017/299openalex-snapshot
Radar: Residual Analysis for Anomaly Detection in Attributed Networks
inferredcites →https://doi.org/10.5555/3225638.3225800openalex-snapshot
Mining minimal distinguishing subsequence patterns with gap constraints

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-030-73197-7_22openalex-snapshot
Efficient Mining of Outlying Sequential Behavior Patterns
inferred← citeshttps://doi.org/10.1007/978-3-030-73280-6_50openalex-snapshot
Comparison of Machine Learning Methods for Life Trajectory Analysis in Demography
inferred← citeshttps://doi.org/10.1007/978-3-032-05461-6_34openalex-snapshot
Explaining Anomalous Data with Reinforcement Learning
inferred← citeshttps://doi.org/10.1007/s10489-021-02912-3openalex-snapshot
NetNMSP: Nonoverlapping maximal sequential pattern mining
inferred← citeshttps://doi.org/10.1007/s10489-021-03000-2openalex-snapshot
NetDPO: (delta, gamma)-approximate pattern matching with gap constraints under one-off condition
inferred← citeshttps://doi.org/10.1007/s10489-024-06137-yopenalex-snapshot
A tree-based framework to mine top-K closed sequential patterns
inferred← citeshttps://doi.org/10.1007/s10994-026-07182-zopenalex-snapshot
RLAX: A Reinforcement Learning-Based Framework for Explaining Anomalous Data
inferred← citeshttps://doi.org/10.1007/s13042-026-03207-0openalex-snapshot
Utility-driven mining of contiguous sequences
inferred← citeshttps://doi.org/10.1016/j.array.2025.100518openalex-snapshot
Explaining evolving outliers for uncovering key aspects of the green comparative advantage
inferred← citeshttps://doi.org/10.1016/j.ins.2021.12.064openalex-snapshot
NWP-Miner: Nonoverlapping weak-gap sequential pattern mining
inferred← citeshttps://doi.org/10.1016/j.ins.2023.119791openalex-snapshot
Targeted mining of contiguous sequential patterns
inferred← citeshttps://doi.org/10.1016/j.ins.2025.122497openalex-snapshot
OUTO-Miner: Detecting outlying occurrences in maximal frequent order-preserving patterns in time series
inferred← citeshttps://doi.org/10.1016/j.ins.2025.122871openalex-snapshot
OSP-Miner: Mining one-off weak-gap strong sequential patterns
inferred← citeshttps://doi.org/10.1016/j.knosys.2021.107361openalex-snapshot
HANP-Miner: High average utility nonoverlapping sequential pattern mining
inferred← citeshttps://doi.org/10.1016/j.knosys.2022.109710openalex-snapshot
Efficient mining of concept-hierarchy aware distinguishing sequential patterns
inferred← citeshttps://doi.org/10.1109/acit52158.2021.9548464openalex-snapshot
Intelligent Module of Information Processing for the Applied Software System to Provide Administrative Services
inferred← citeshttps://doi.org/10.1109/ickg55886.2022.00026openalex-snapshot
AOP-Miner: Approximate Order-Preserving Pattern Mining for Time Series
inferred← citeshttps://doi.org/10.1109/ickg66886.2025.00035openalex-snapshot
A Survey of Repetitive Sequential Pattern Mining
inferred← citeshttps://doi.org/10.1109/tcyb.2021.3082114openalex-snapshot
Top- k Self-Adaptive Contrast Sequential Pattern Mining
inferred← citeshttps://doi.org/10.1109/tcyb.2022.3169327openalex-snapshot
OPP-Miner: Order-Preserving Sequential Pattern Mining for Time Series
inferred← citeshttps://doi.org/10.1109/tkde.2022.3224963openalex-snapshot
OPR-Miner: Order-Preserving Rule Mining for Time Series
inferred← citeshttps://doi.org/10.1109/tkde.2023.3241213openalex-snapshot
MCoR-Miner: Maximal Co-Occurrence Nonoverlapping Sequential Rule Mining
inferred← citeshttps://doi.org/10.1109/tkde.2023.3321749openalex-snapshot
COPP-Miner: Top-k Contrast Order-Preserving Pattern Mining for Time Series Classification
inferred← citeshttps://doi.org/10.1109/tkde.2023.3334300openalex-snapshot
RNP-Miner: Repetitive Nonoverlapping Sequential Pattern Mining
inferred← citeshttps://doi.org/10.1109/tkde.2024.3438274openalex-snapshot
OPF-Miner: Order-Preserving Pattern Mining With Forgetting Mechanism for Time Series
inferred← citeshttps://doi.org/10.1109/tkde.2026.3692778openalex-snapshot
SOPP-Miner: Stable Distribution Order-Preserving Pattern Mining for Time Series
inferred← citeshttps://doi.org/10.1145/3476247openalex-snapshot
OWSP-Miner: Self-adaptive One-off Weak-gap Strong Pattern Mining
inferred← citeshttps://doi.org/10.1145/3480245openalex-snapshot
NTP-Miner: Nonoverlapping Three-Way Sequential Pattern Mining
inferred← citeshttps://doi.org/10.1145/3549940openalex-snapshot
ONP-Miner: One-off Negative Sequential Pattern Mining
inferred← citeshttps://doi.org/10.1145/3706117openalex-snapshot
Unsupervised Outlier Detection with Reinforced Noise Discriminator
inferred← citeshttps://doi.org/10.1145/3716390openalex-snapshot
Mining Repetitive Negative Sequential Patterns with Gap Constraints
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