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A survey of temporal data mining

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What this work says

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

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Using Dynamic Time Warping to Bootstrap HMM-Based Clustering of Time Series
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Motion Mining
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A Practical Algorithm to Find the Best Episode Patterns
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On the Discovery of Weak Periodicities in Large Time Series
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Episode Matching*
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Hidden Pattern Statistics
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Discovering Dynamics Using Bayesian Clustering
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Discovering Frequent Closed Itemsets for Association Rules
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Mining algorithms for sequential patterns in parallel : Hash based approach
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The Elements of Statistical Learning
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction
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Data Mining for Scientific and Engineering Applications
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Data Mining at the Interface of Computer Science and Statistics
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Statistical Methods in Bioinformatics
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Discovering Partial Periodic Patterns in Discrete Data Sequences
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Constraint-Based Mining of Episode Rules and Optimal Window Sizes
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Discovering Unbounded Episodes in Sequential Data
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Learning to Predict by the Methods of Temporal Differences
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Neural Networks for Full-Scale Protein Sequence Classification: Sequence Encoding with Singular Value Decomposition
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Mining sequential patterns: Generalizations and performance improvements
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On Pattern Frequency Occurrences in a Markovian Sequence
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Reliable detection of episodes in event sequences
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Discovering patterns in sequences of events
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Searching subsequences
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A theory of timed automata
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Biological sequence analysis
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Principles of Data Mining
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Algorithms on Strings, Trees and Sequences
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Biological Sequence Analysis
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Discovery of Frequent Episodes in Event Sequences
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Model-Based Clustering and Visualization of Navigation Patterns on a Web Site
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Hidden Markov models of biological primary sequence information.
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Linguistics of Nucleotide Sequences I: The Significance of Deviations from Mean Statistical Characteristics and Prediction of the Frequencies of Occurrence of Words
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Multiple sequence alignment with hierarchical clustering
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VII. On a method of investigating periodicities disturbed series, with special reference to Wolfer's sunspot numbers
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A Computer-Based Method of Selecting Clones for a Full-Length cDNA Project: Simultaneous Collection of Negligibly Redundant and Variant cDNAs
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A Comprehensive Approach to Clustering of Expressed Human Gene Sequence: The Sequence Tag Alignment and Consensus Knowledge Base
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Classification of Time Series Data with Nonlinear Similarity Measures
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Lecture Notes in Computer Science 1205
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The state of the art in online handwriting recognition
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A tutorial on hidden Markov models and selected applications in speech recognition
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Automatic on-line signature verification
inferredcites →https://doi.org/10.1109/69.683754openalex-snapshot
Discovering frequent event patterns with multiple granularities in time sequences
inferredcites →https://doi.org/10.1109/76.718507openalex-snapshot
A fully automated content-based video search engine supporting spatiotemporal queries
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Using time-dependent neural networks for EEG classification
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Speech Communications: Human and Machine
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A point of contact between computer science and molecular biology
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Recognition of handwritten word: first and second order hidden Markov model based approach
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Recognizing human action in time-sequential images using hidden Markov model
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Space-time gestures
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Discovering clusters in motion time-series data
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Improving the efficiency of interactive sequential pattern mining by incremental pattern discovery
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Script recognition using hidden Markov models
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Mining sequential patterns
inferredcites →https://doi.org/10.1109/icde.1998.655804openalex-snapshot
Cyclic association rules
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Efficient mining of partial periodic patterns in time series database
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Landmarks: a new model for similarity-based pattern querying in time series databases
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Mining partially periodic event patterns with unknown periods
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BIDE: efficient mining of frequent closed sequences
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Distance measures for effective clustering of ARIMA time-series
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Mixtures of ARMA models for model-based time series clustering
inferredcites →https://doi.org/10.1109/icdm.2003.1250904openalex-snapshot
Reliable detection of episodes in event sequences
inferredcites →https://doi.org/10.1109/icdm.2004.10090openalex-snapshot
Detection of Significant Sets of Episodes in Event Sequences
inferredcites →https://doi.org/10.1109/icpr.2000.906046openalex-snapshot
Rival penalized competitive learning for model-based sequence clustering
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Temporal backpropagation for FIR neural networks
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On pattern frequency occurrences in a Markovian sequence
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Distortion measures for speech processing
inferredcites →https://doi.org/10.1109/tkde.2002.1000341openalex-snapshot
Mining sequential patterns with regular expression constraints
inferredcites →https://doi.org/10.1109/tkde.2003.1209015openalex-snapshot
Progressive partition miner: An efficient algorithm for mining general temporal association rules
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Discovering frequent episodes and learning hidden Markov models: a formal connection
inferredcites →https://doi.org/10.1137/1.9781611972719.2openalex-snapshot
Decomposition of Event Sequences into Independent Components
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CloSpan: Mining: Closed Sequential Patterns in Large Datasets
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Markov models for identification of significant episodes
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An Overview of Sequence Comparison: Time Warps, String Edits, and Macromolecules
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FINDING WEAK MOTIFS IN DNA SEQUENCES
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Bioinformatics—an introduction for computer scientists
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The human genome project and informatics
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Fast text searching
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Mining association rules between sets of items in large databases
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Mining association rules between sets of items in large databases
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Combinatorial pattern discovery for scientific data
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Combinatorial pattern discovery for scientific data
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Query by humming
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Exploratory mining and pruning optimizations of constrained associations rules
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Exploratory mining and pruning optimizations of constrained associations rules
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Efficient enumeration of frequent sequences
inferredcites →https://doi.org/10.1145/347090.347153openalex-snapshot
Scaling up dynamic time warping for datamining applications
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A comparison of DFT and DWT based similarity search in time-series databases
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Data mining
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Pattern discovery in sequences under a Markov assumption
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The Analysis of Time Series
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Face recognition using Hidden Markov Models
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Principles of Data Mining
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Pattern Classification and Scene Analysis.
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Time Series Analysis: Forecasting and Control.
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Time Series Analysis Forecasting and Control.
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Time Series Analysis: Forecasting and Control
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Statis[t]ical methods in bioinformatics: an introduction
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Temporal pattern recognition in noisy non-stationary time series based on quantization into symbolic streams. Lessons learned from financial volatility trading.
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Data mining: concepts and techniques

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

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Association Rule Mining
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BIBLIOGRAPHY
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Mining association rules from time series to explain failures in a hot-dip galvanizing steel line
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Discovering patterns in categorical time series using IFS
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Information mining — Reflections on recent advancements and the road ahead in data, text, and media mining
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Classification for consumption data in smart grid based on forecasting time series
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DEER : Distant and Essential Episode Rules for early prediction
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Learning of complex event processing rules with genetic programming
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Exploiting traffic periodicity in industrial control networks
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Dynamic scene understanding using temporal association rules
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A deep learning approach for multi-attribute data: A study of train delay prediction in railway systems
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Time-series clustering – A decade review
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A shape-based adaptive segmentation of time-series using particle swarm optimization
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Consistent discovery of frequent interval-based temporal patterns in chronic patients’ data
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Patient ranking with temporally annotated data
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Discovering and utilising expert knowledge from security event logs
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Ensemble human movement sequence prediction model with Apriori based Probability Tree Classifier (APTC) and Bagged J48 on Machine learning
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A sequential pattern mining model for application workload prediction in cloud environment
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Mining temporal interval relational rules from temporal data
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CMRules: Mining sequential rules common to several sequences
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Detecting known and unknown faults in automotive systems using ensemble-based anomaly detection
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Behavior prediction based on a Commodity Utility-Behavior Sequence model
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Temporal data mining using shape space representations of time series
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Temporal Data Mining and Visualization for Treatment Outcome Prediction in HIV Patients
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A mathematical programming technique for matching time-stamped records in logistics and transportation systems
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Keeping the intelligent environment resident in the loop
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On the understanding of profiles by means of post-processing techniques: an application to financial assets
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Visualizing Multidimensional Lifelogging Data: A Case Study on MyMovieHistory Project
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Sequential Pattern Analysis: A Statistical Investigation of Sequence Length and Support
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A NOTE ON TWO APPLICATIONS OF LOGICAL MATCHING STRATEGY
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FRAMEWORK FOR DEVELOPING PROTOTYPE BIOACOUSTIC DEVICES IN AID OF OPEN SEA KILLER WHALE PROTECTION
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Clustering and Investigation of Human Driving Behavior Using Autoencoder and Risk Assessment
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Flood Pattern Detection Using Sliding Window Technique
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Predicting Hacker Adoption on Darkweb Forums Using Sequential Rule Mining
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Mining On-shelf High-utility Quantitative Itemsets
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Symbolic Representation Based on Temporal Order Information for Time Series Classification
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Application of data Mining in Building Safety Construction
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Temporal data analytics based on eigenmotif and shape space representations of time series
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Mining Periodic Patterns from Nested Event Logs
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Time-Based Connotation Rule Mining Based on T-Apriori Algorithm Using Weka Tool Slants
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Anomaly Detection Using Inter-Arrival Curves for Real-Time Systems
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A Toolkit for Streaming Process Data Analysis
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Mining Several Kinds of Temporal Association Rules Enhanced by Tree Structures
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A Novel Multi-Centroid Template Matching Algorithm and Its Application to Cough Detection
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Machine learning model for temporal pattern recognition
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Timing is Everything: Identifying Diverse Interaction Dynamics in Scenario and Non-Scenario Meetings
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An Anomaly Detection Study on Automotive Sensor Data Time Series for Vehicle Applications
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Linguistic summaries for periodicity detection based on mathematical morphology
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Evolving temporal fuzzy itemsets from quantitative data with a multi-objective evolutionary algorithm
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Pattern Discovery of User Interface Sequencing by Rehabilitation Clients with Cognitive Impairments
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Transition Discovery of Sequential Behaviors in Email Application Usage Using Hidden Markov Models
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Data Mining Behavioral Transitions in Open Source Repositories
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A Mathematical Programming Model for Matching Sequential Activities in Logistics Systems with Tolerance for Erroneous or Missing Data
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A novel approach to discover similar temporal association patterns in a single database scan
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Multitemporal Satellite Image Time Series analysis of urban development in Bucharest and Ilfov areas
inferred← citeshttps://doi.org/10.1109/icdm.2010.89openalex-snapshot
Mining Closed Strict Episodes
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Anonymizing Temporal Data
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Generating Diverse Realistic Data Sets for Episode Mining
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Generation of temporal class association rules from quantitative data using evolutionary approach
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A Framework for Mining Evolution Rules and Its Application to the Clinical Domain
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Crowd Modeling using Temporal Association Rules
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A Supervised Time Series Feature Extraction Technique Using DCT and DWT
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Using Temporal Discovery and Data-Driven Journey-Maps to Predict Customer Satisfaction
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Temporal outlier detection using fuzzy logic and evolutionary computation
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Multi objective hybridized firefly algorithm with group search optimization for data clustering
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Understanding Your History: Multi-dimensional Data Stream Visualization of Personal Lifelogging Data
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Residential appliance identification and future usage prediction from smart meter
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Forecast based classification for power consumption data
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Dynamic Time Warping: Itakura vs Sakoe-Chiba
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Time-Series Classification with Constrained DTW Distance and Inverse-Square Weighted k-NN
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A methodology for prior management of temporal data quality in a data mining process
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Construction and Analysis of Evolving Data Summaries: An Application on Web Usage Data
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Temporal outlier detection on quantitative data using unexpectedness measure
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Towards An Efficient Real-time Approach To Loan Credit Approval Using Deep Learning
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Global vs. local features for gender identification using Arabic and English handwriting
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Data-mining by probability-based patterns
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Risk-management by probability-based patterns in data-mining
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Constrained Distance-Based Clustering for Satellite Image Time-Series
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Sequence pattern discovery of events caused by ground fault trips in power distribution systems
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Time series analysis and possible applications
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Extracting Temporal Behavior Patterns of Mobile User
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A new approach for clustering alarm sequences in mobile operators
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Traces of navigation as knowledge for simulating information retrieval by navigation in hypertext document
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Spatio-Temporal Patterns for Problem Determination in IT Services
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TimeTubes: Automatic Extraction of Observable Blazar Features from Long-Term, Multi-Dimensional Datasets
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Linea: Building Timelines from Unstructured Text
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Novel Consumer Classification Scheme for Smart Grids
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Exploring Time Series Retrieved from Cardiac Implantable Devices for Optimizing Patient Follow-Up
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A Latent Analysis of Earth Surface Dynamic Evolution Using Change Map Time Series
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Out of Bounds Anomaly Scores (OBAS) in Smart Failure Detection in Variable Frequency Drives
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A Quantum-Inspired Classifier for Early Web Bot Detection
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SwiftRule: Mining Comprehensible Classification Rules for Time Series Analysis
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Discovery of Temporal Associations in Multivariate Time Series
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Mining Partially-Ordered Sequential Rules Common to Multiple Sequences
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Generalizable Dynamic Representation Learning for Source Identification in Sequential Data
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Keeping the Resident in the Loop: Adapting the Smart Home to the User
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The Streams of Our Lives: Visualizing Listening Histories in Context
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Visual Analysis of Topic Competition on Social Media
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Towards a conceptual framework for visual analytics of time and time-oriented data
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Contrast set mining in temporal databases
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A complete chronicle discovery approach: application to activity analysis
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Structuring ordered nominal data for event sequence discovery
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Visualisation interactive de données temporelles
inferred← citeshttps://doi.org/10.1145/1982185.1982394openalex-snapshot
RuleGrowth
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Predicting adverse events
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Toward multimodal situated analysis
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Discovering lag intervals for temporal dependencies
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Structural and temporal inference search (STIS)
inferred← citeshttps://doi.org/10.1145/2393347.2393413openalex-snapshot
Interactive data-driven discovery of temporal behavior models from events in media streams
inferred← citeshttps://doi.org/10.1145/2393347.2396512openalex-snapshot
Interactive data-driven search and discovery of temporal behavior patterns from media streams
inferred← citeshttps://doi.org/10.1145/2480362.2480395openalex-snapshot
TNS
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Search Strategies for Pattern Identification in Multimodal Data
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Learning from the past
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Problem characterization and abstraction for visual analytics in behavior-based malware pattern analysis
inferred← citeshttps://doi.org/10.1145/2678025.2701407openalex-snapshot
Cohort Comparison of Event Sequences with Balanced Integration of Visual Analytics and Statistics
inferred← citeshttps://doi.org/10.1145/2832987.2833064openalex-snapshot
A Survey on Temporal Databases and Data mining
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An Approach for Mining Similarity Profiled Temporal Association Patterns Using Gaussian Based Dissimilarity Measure
inferred← citeshttps://doi.org/10.1145/2832987.2833071openalex-snapshot
A Novel Approach for Mining Similarity Profiled Temporal Association Patterns Using Venn Diagrams
inferred← citeshttps://doi.org/10.1145/2980258.2982091openalex-snapshot
Generating Adaptive Partially Ordered Sequential Rules
inferred← citeshttps://doi.org/10.1145/3097983.3098097openalex-snapshot
Finding Precursors to Anomalous Drop in Airspeed During a Flight's Takeoff
inferred← citeshttps://doi.org/10.1145/3117809openalex-snapshot
Probabilistic Complex Event Recognition
inferred← citeshttps://doi.org/10.1145/3145511.3145526openalex-snapshot
Directional Dynamic Time Warping for Gesture Recognition
inferred← citeshttps://doi.org/10.1145/3301402openalex-snapshot
EventAction
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Predicting Temporal Sets with Deep Neural Networks
inferred← citeshttps://doi.org/10.1145/3478301.3478308openalex-snapshot
Analysis of Techniques for Data Mining
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A Multi-Feature Fusion Driven Method for Time Series Pre-event Prediction
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Inferring Neuronal Network Connectivity from Spike Data: A Temporal Data Mining Approach
inferred← citeshttps://doi.org/10.1155/2018/2404089openalex-snapshot
Modified Dynamic Time Warping Based on Direction Similarity for Fast Gesture Recognition
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Ensemble de técnicas de representação simbólica para reconhecimento biométrico baseado em sinais de ECG
inferred← citeshttps://doi.org/10.11606/d.55.2009.tde-04062009-201445openalex-snapshot
Uma metodologia para extração de conhecimento em séries temporais por meio da identificação de motifs e da extração de características
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Time series data mining using complex networks
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Conditional Probability-Based Significance Tests for Sequential Patterns in Multineuronal Spike Trains
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