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An Approach for Mining Similarity Profiled Temporal Association Patterns Using Gaussian Based Dissimilarity Measure
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11510888_64openalex-snapshot
Temporal Approach to Association Rule Mining Using T-Tree and P-Tree
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Finding Locally and Periodically Frequent Sets and Periodic Association Rules
inferredcites →https://doi.org/10.1007/11875604_83openalex-snapshot
Mining Association Rules in Temporal Document Collections
inferredcites →https://doi.org/10.1007/978-1-4419-8596-5_7openalex-snapshot
Theory Design and Implementation
inferredcites →https://doi.org/10.1007/978-3-540-74484-9_102openalex-snapshot
Spatio-temporal Similarity Measure Algorithm for Moving Objects on Spatial Networks
inferredcites →https://doi.org/10.1007/978-3-642-02976-9_3openalex-snapshot
Mining Healthcare Data with Temporal Association Rules: Improvements and Assessment for a Practical Use
inferredcites →https://doi.org/10.1007/978-3-642-21535-3_7openalex-snapshot
Using Association Rule Mining to Discover Temporal Relations of Daily Activities
inferredcites →https://doi.org/10.1007/978-3-642-23166-7_3openalex-snapshot
Temporal Data Mining: Similarity-Profiled Association Pattern
inferredcites →https://doi.org/10.1007/978-3-642-28320-8_22openalex-snapshot
An Efficient Approach to Mine Periodic-Frequent Patterns in Transactional Databases
inferredcites →https://doi.org/10.1016/j.artmed.2008.07.013openalex-snapshot
Temporal similarity measures for querying clinical workflows
inferredcites →https://doi.org/10.1016/j.datak.2006.10.009openalex-snapshot
ARMADA – An algorithm for discovering richer relative temporal association rules from interval-based data
inferredcites →https://doi.org/10.1016/j.datak.2010.03.002openalex-snapshot
An efficient algorithm for incremental mining of temporal association rules
inferredcites →https://doi.org/10.1016/j.eswa.2009.02.029openalex-snapshot
An effective mining approach for up-to-date patterns
inferredcites →https://doi.org/10.1016/j.eswa.2015.06.021openalex-snapshot
Mining top-k frequent-regular closed patterns
inferredcites →https://doi.org/10.1016/j.is.2010.06.006openalex-snapshot
Temporal data classification using linear classifiers
inferredcites →https://doi.org/10.1016/j.knosys.2013.09.003openalex-snapshot
Web usage mining with evolutionary extraction of temporal fuzzy association rules
inferredcites →https://doi.org/10.1016/s0167-8655(00)00120-3openalex-snapshot
A framework for temporal similarity measures of content-based scene retrieval
inferredcites →https://doi.org/10.1017/s0890060401155034openalex-snapshot
Visualizing constraint-based temporal association rules
inferredcites →https://doi.org/10.1023/a:1007652502315openalex-snapshot
SPADE: An Efficient Algorithm for Mining Frequent Sequences
inferredcites →https://doi.org/10.1080/02682620508657640openalex-snapshot
Seventh International Conference
inferredcites →https://doi.org/10.1109/69.404027openalex-snapshot
Temporal and real-time databases: a survey
inferredcites →https://doi.org/10.1109/69.536250openalex-snapshot
Extending existing dependency theory to temporal databases
inferredcites →https://doi.org/10.1109/cidm.2007.368932openalex-snapshot
Mining Association Rules in Temporal Sequences
inferredcites →https://doi.org/10.1109/cse.2011.74openalex-snapshot
Temporal Association Rules Mining in T-databases Using Pipeline Technique
inferredcites →https://doi.org/10.1109/eknow.2010.16openalex-snapshot
Mining Several Kinds of Temporal Association Rules Enhanced by Tree Structures
inferredcites →https://doi.org/10.1109/fskd.2010.5569736openalex-snapshot
Construction of periodic temporal association rules in data mining
inferredcites →https://doi.org/10.1109/icci-cc.2013.6622291openalex-snapshot
Mining hierarchical temporal association rules in a publication database
inferredcites →https://doi.org/10.1109/icde.2001.914839openalex-snapshot
TAR: temporal association rules on evolving numerical attributes
inferredcites →https://doi.org/10.1109/icdm.2009.83openalex-snapshot
Topic Modeling for Sequences of Temporal Activities
inferredcites →https://doi.org/10.1109/icmla.2014.25openalex-snapshot
Semi-supervised Kernel-Based Temporal Clustering
inferredcites →https://doi.org/10.1109/icpr.2000.906178openalex-snapshot
A new algorithm for time series prediction by temporal fuzzy clustering
inferredcites →https://doi.org/10.1109/icrtit.2012.6206816openalex-snapshot
Topic clustering and topic evolution based on temporal parameters
inferredcites →https://doi.org/10.1109/icsmc.2005.1571138openalex-snapshot
A Prefix Tree-based Model for Mining Association Rules from Quantitative Temporal Data
inferredcites →https://doi.org/10.1109/ijcnn.1999.833494openalex-snapshot
A new scheme for extracting multi-temporal sequence patterns
inferredcites →https://doi.org/10.1109/ncm.2008.93openalex-snapshot
Sequential Pattern Mining with Inaccurate Event in Temporal Sequence
inferredcites →https://doi.org/10.1109/time.2001.930706openalex-snapshot
Discovering calendar-based temporal association rules
inferredcites →https://doi.org/10.1109/tkde.2003.1185847openalex-snapshot
Symbolic user-defined periodicity in temporal relational databases
inferredcites →https://doi.org/10.1109/tkde.2003.1209015openalex-snapshot
Progressive partition miner: An efficient algorithm for mining general temporal association rules
inferredcites →https://doi.org/10.1109/tkde.2008.185openalex-snapshot
Similarity-Profiled Temporal Association Mining
inferredcites →https://doi.org/10.1109/tkde.2008.31openalex-snapshot
C-TREND: Temporal Cluster Graphs for Identifying and Visualizing Trends in Multiattribute Transactional Data
inferredcites →https://doi.org/10.1109/tkde.2011.265openalex-snapshot
Coping with Events in Temporal Relational Databases
inferredcites →https://doi.org/10.1109/tkde.2013.184openalex-snapshot
Outlier Detection for Temporal Data: A Survey
inferredcites →https://doi.org/10.1109/tkde.2015.2454515openalex-snapshot
Mining Temporal Patterns in Time Interval-Based Data
inferredcites →https://doi.org/10.1109/tsmcb.2004.835352openalex-snapshot
Discovery of Fuzzy Temporal Association Rules
inferredcites →https://doi.org/10.1145/1084805.1084818openalex-snapshot
Efficient calendar based temporal association rule
inferredcites →https://doi.org/10.1145/1267066.1267068openalex-snapshot
Mining periodic patterns with gap requirement from sequences
inferredcites →https://doi.org/10.1145/1774088.1774436openalex-snapshot
Online mining of temporal maximal utility itemsets from data streams
inferredcites →https://doi.org/10.1145/2390848.2390862openalex-snapshot
Novelty measures as cues for temporal salience in audio similarity
inferredcites →https://doi.org/10.1145/957013.957056openalex-snapshot
Using structure patterns of temporal and spectral feature in audio similarity measure
inferredcites →https://doi.org/10.1504/ijkedm.2015.071293openalex-snapshot
UTARM: an efficient algorithm for mining of utility-oriented temporal association rules
inferredcites →https://doi.org/10.2200/s00573ed1v01y201403dmk008openalex-snapshot
Outlier Detection for Temporal Data
inferredcites →https://doi.org/10.23919/mixdes49814.2020.9155800openalex-snapshot
Proceedings of 27th International Conference
inferredcites →https://doi.org/10.26190/unsworks/8829openalex-snapshot
Temporal classification : extending the classification paradigm to multivariate time series
inferredcites →https://doi.org/10.3115/1614049.1614057openalex-snapshot
Temporal classification of text and automatic document dating
inferredcites →https://doi.org/10.3115/1629235.1629238openalex-snapshot
Automatic dating of documents and temporal text classification
inferredcites →https://doi.org/10.4018/978-1-60566-058-5.ch017openalex-snapshot
A Survey on Temporal Data Warehousing
inferredcites →https://doi.org/10.4018/jdwm.2009010101openalex-snapshot
A Survey on Temporal Data Warehousing
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A Novel Similar Temporal System Call Pattern Mining for Efficient Intrusion Detection
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Temporal association rule mining: An overview considering the time variable as an integral or implied component
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A Computationally Efficient Approach for Mining Similar Temporal Patterns
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Estimating Prevalence Bounds of Temporal Association Patterns to Discover Temporally Similar Patterns
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A novel fuzzy gaussian-based dissimilarity measure for discovering similarity temporal association patterns
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VRKSHA: a novel tree structure for time-profiled temporal association mining
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Krishna Sudarsana—A Z-Space Interest Measure for Mining Similarity Profiled Temporal Association Patterns
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A Similarity Function for Feature Pattern Clustering and High Dimensional Text Document Classification
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Ultimate: Unearthing Latent Time Profiled Temporal Associations
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G-SPAMINE: An approach to discover temporal association patterns and trends in internet of things
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Mining temporal characteristics of behaviors from interval events in e-learning
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An imputation measure for data imputation and disease classification of medical datasets
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Mining of outlier temporal patterns
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A computationally optimal approach for extracting similar temporal patterns
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Estimating temporal pattern bounds using negative support computations
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Looking into the possibility of novel dissimilarity measure to discover similarity profiled temporal association patterns in IoT
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A Single Database Scan Approach for Mining Temporally Similar Association Patterns
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Mining Outlier Temporal Association Patterns
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Retracted on September 10, 2025: Sequential Approach for Mining of Temporal Itemsets
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Retracted on September 10, 2025: GANDIVA - Time Profiled Temporal Pattern Tree
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Retracted on September 10, 2025: VRKSHA: A Novel Multi-Tree Based Sequential Approach for Seasonal Pattern Mining
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Retracted on September 10, 2025: Mantra: a novel imputation measure for disease classification and prediction
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Retracted on September 10, 2025: Ultimate: unearthing latent time profiled temporal associations
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Retracted on September 10, 2025: Kaala vrksha: extending vrksha for time profiled temporal association mining
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A membership function for intrusion and anomaly detection of low frequency attacks
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Retracted on September 10, 2025: PAREEKSHA: a machine learning approach for intrusion and anomaly detection
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An efficient approach for dimensionality reduction and classification of high dimensional text documents
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Retracted on September 10, 2025: Discovery of time profiled temporal patterns
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Similarity function for intrusion detection
inferred← citeshttps://doi.org/10.1145/3330431.3330461openalex-snapshot
Retracted on September 10, 2025: A novel approach for unsupervised learning of software components
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High dimensional document classification using novel similarity function
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Retracted on September 10, 2025: Tree based data fusion approach for mining temporal patterns
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A novel approach for unsupervised learning of transaction data
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Intrusion detection using dimensionality reduced soft matrix
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Retracted on September 10, 2025: A generalized research study on distance measures, learning algorithms and datasets
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Challenge Paper: The Vision for Time Profiled Temporal Association Mining
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Data Preprocessing for Learning, Analyzing and Detecting Scene Text Video based on Rotational Gradient
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Detection of Text from Video with Customized Trained Anatomy
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MACHINE LEARNING FRAMEWORK FOR COVID-19 DIAGNOSIS
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Retracted on September 10, 2025: Similarity Association Pattern Mining in Transaction Databases
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Fake News Detection Using Machine Learning Methods
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Retracted on September 10, 2025: A Survey of Similarity Measures for Time stamped Temporal Datasets
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A SURVEY ON SIMILARITY MEASURES AND MACHINE LEARNING ALGORITHMS FOR CLASSIFICATION AND PREDICTION
inferred← citeshttps://doi.org/10.1145/3460620.3460758openalex-snapshot
Retracted on September 10, 2025: Fuzzy Feature Similarity Functions for Feature Clustering and Dimensionality Reduction
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Retracted on September 10, 2025: Design of Gaussian Similarity Measure for Network Anomaly Detection
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