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Multivariate temporal data analysis ‐ a review

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What this work says

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

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Data discretization: taxonomy and big data challenge

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COBRA: Closed Sequential Pattern Mining Using Bi-phase Reduction Approach

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Discovering Temporal Patterns for Interval-based Events

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Falls Prediction in Care Homes Using Mobile App Data Collection

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Fast Vertical Mining of Sequential Patterns Using Co-occurrence Information

inferredcites →https://doi.org/10.1007/978-3-319-12571-8_16openalex-snapshot

Model-Based Time Series Classification

inferredcites →https://doi.org/10.1007/978-3-319-22729-0_20openalex-snapshot

Binary Shapelet Transform for Multiclass Time Series Classification

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A Knowledge Discovery Framework for Learning Task Models from User Interactions in Intelligent Tutoring Systems

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An Efficient GA-Based Algorithm for Mining Negative Sequential Patterns

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Compact Prediction Tree: A Lossless Model for Accurate Sequence Prediction

inferredcites →https://doi.org/10.1007/bf00116251openalex-snapshot

Induction of Decision Trees

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

Mining sequential patterns: Generalizations and performance improvements

inferredcites →https://doi.org/10.1007/pl00011669openalex-snapshot

Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases

inferredcites →https://doi.org/10.1007/s00357-013-9135-6openalex-snapshot

A Run Length Transformation for Discriminating Between Auto Regressive Time Series

inferredcites →https://doi.org/10.1007/s10115-009-0196-0openalex-snapshot

Mining frequent arrangements of temporal intervals

inferredcites →https://doi.org/10.1007/s10115-013-0707-xopenalex-snapshot

Fast time intervals mining using the transitivity of temporal relations

inferredcites →https://doi.org/10.1007/s10115-014-0784-5openalex-snapshot

Classification of multivariate time series via temporal abstraction and time intervals mining

inferredcites →https://doi.org/10.1007/s10115-014-0817-0openalex-snapshot

Mining sequential patterns for classification

inferredcites →https://doi.org/10.1007/s10618-007-0064-zopenalex-snapshot

Experiencing SAX: a novel symbolic representation of time series

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Data mining with Temporal Abstractions: learning rules from time series

inferredcites →https://doi.org/10.1007/s10618-010-0179-5openalex-snapshot

Time series shapelets: a novel technique that allows accurate, interpretable and fast classification

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Time series classification with ensembles of elastic distance measures

inferredcites →https://doi.org/10.1007/s10618-014-0380-zopenalex-snapshot

Classification-driven temporal discretization of multivariate time series

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The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances

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Improving time series similarity measures by integrating preprocessing steps

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Deep learning for time series classification: a review

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Constraint-based sequential pattern mining: the pattern-growth methods

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Time Series Classification in Reservoir- and Model-Space

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e-NSP: Efficient negative sequential pattern mining

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Predicting citywide crowd flows using deep spatio-temporal residual networks

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Visualizing time-oriented data—A systematic view

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ARMADA – An algorithm for discovering richer relative temporal association rules from interval-based data

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Effective temporal data classification by integrating sequential pattern mining and probabilistic induction

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Applying the maximum utility measure in high utility sequential pattern mining

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Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges

inferredcites →https://doi.org/10.1016/j.ins.2013.02.030openalex-snapshot

A time series forest for classification and feature extraction

inferredcites →https://doi.org/10.1016/j.ins.2016.08.081openalex-snapshot

Functional echo state network for time series classification

inferredcites →https://doi.org/10.1016/j.jbi.2017.07.018openalex-snapshot

Procedure prediction from symbolic Electronic Health Records via time intervals analytics

inferredcites →https://doi.org/10.1016/j.jbi.2021.103734openalex-snapshot

Outcomes prediction in longitudinal data: Study designs evaluation, use case in ICU acquired sepsis

inferredcites →https://doi.org/10.1016/j.knosys.2004.10.007openalex-snapshot

Support vector machines of interval-based features for time series classification

inferredcites →https://doi.org/10.1016/j.knosys.2010.03.003openalex-snapshot

Mining weighted sequential patterns in a sequence database with a time-interval weight

inferredcites →https://doi.org/10.1016/j.patcog.2018.06.016openalex-snapshot

F-NSP + : A fast negative sequential patterns mining method with self-adaptive data storage

inferredcites →https://doi.org/10.1016/j.patrec.2014.01.008openalex-snapshot

A review of unsupervised feature learning and deep learning for time-series modeling

inferredcites →https://doi.org/10.1016/j.proeng.2011.08.684openalex-snapshot

An effective algorithm for mining sequential generators

inferredcites →https://doi.org/10.1016/j.renene.2015.06.034openalex-snapshot

Transfer learning for short-term wind speed prediction with deep neural networks

inferredcites →https://doi.org/10.1016/s0004-3702(96)00025-2openalex-snapshot

A framework for knowledge-based temporal abstraction

inferredcites →https://doi.org/10.1023/a:1007652502315openalex-snapshot

SPADE: An Efficient Algorithm for Mining Frequent Sequences

inferredcites →https://doi.org/10.1023/a:1008781812242openalex-snapshot

Knowledge Discovery from Series of Interval Events

inferredcites →https://doi.org/10.1038/nature14539openalex-snapshot

Deep learning

inferredcites →https://doi.org/10.1038/s41598-020-58178-1openalex-snapshot

Combining deep learning with token selection for patient phenotyping from electronic health records

inferredcites →https://doi.org/10.1080/00401706.2000.10486046openalex-snapshot

Partial Residual Plots Based on Robust Fits

inferredcites →https://doi.org/10.1109/5254.850827openalex-snapshot

Scalable feature mining for sequential data

inferredcites →https://doi.org/10.1109/69.846291openalex-snapshot

Scalable algorithms for association mining

inferredcites →https://doi.org/10.1109/apscc.2008.183openalex-snapshot

Mining Negative Sequential Patterns for E-commerce Recommendations

inferredcites →https://doi.org/10.1109/fskd.2008.97openalex-snapshot

Mining Weighted Closed Sequential Patterns in Large Databases

inferredcites →https://doi.org/10.1109/icassp.2013.6639347openalex-snapshot

Deep convolutional neural networks for LVCSR

inferredcites →https://doi.org/10.1109/icde.2005.235openalex-snapshot

LAPIN-SPAM: An Improved Algorithm for Mining Sequential Pattern

inferredcites →https://doi.org/10.1109/icde.2007.367917openalex-snapshot

Discriminative Frequent Pattern Analysis for Effective Classification

inferredcites →https://doi.org/10.1109/icde.2016.7498418openalex-snapshot

Time-series classification with COTE: The collective of transformation-based ensembles

inferredcites →https://doi.org/10.1109/icde.2018.00054openalex-snapshot

Generalized Dynamic Time Warping: Unleashing the Warping Power Hidden in Point-Wise Distances

inferredcites →https://doi.org/10.1109/icdm.2001.989550openalex-snapshot

H-mine: hyper-structure mining of frequent patterns in large databases

inferredcites →https://doi.org/10.1109/icdm.2006.21openalex-snapshot

Anytime Classification Using the Nearest Neighbor Algorithm with Applications to Stream Mining

inferredcites →https://doi.org/10.1109/icdm.2010.124openalex-snapshot

iSAX 2.0: Indexing and Mining One Billion Time Series

inferredcites →https://doi.org/10.1109/icdm.2015.143openalex-snapshot

Outcomes Prediction via Time Intervals Related Patterns

inferredcites →https://doi.org/10.1109/icdm.2016.0133openalex-snapshot

HIVE-COTE: The Hierarchical Vote Collective of Transformation-Based Ensembles for Time Series Classification

inferredcites →https://doi.org/10.1109/icdm.2017.10openalex-snapshot

A Deep Transfer Learning Approach for Improved Post-Traumatic Stress Disorder Diagnosis

inferredcites →https://doi.org/10.1109/icitsi.2016.7858189openalex-snapshot

A review of missing values handling methods on time-series data

inferredcites →https://doi.org/10.1109/ijcnn.2018.8489464openalex-snapshot

Deep Tree Echo State Networks

inferredcites →https://doi.org/10.1109/is.2006.348472openalex-snapshot

WSpan: Weighted Sequential pattern mining in large sequence databases

inferredcites →https://doi.org/10.1109/iweca.2014.6845638openalex-snapshot

Comparisons of typical algorithms in negative sequential pattern mining

inferredcites →https://doi.org/10.1109/msp.2012.2205597openalex-snapshot

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

inferredcites →https://doi.org/10.1109/tcyb.2018.2869907openalex-snapshot

e-RNSP: An Efficient Method for Mining Repetition Negative Sequential Patterns

inferredcites →https://doi.org/10.1109/tkde.2004.77openalex-snapshot

Mining sequential patterns by pattern-growth: the PrefixSpan approach

inferredcites →https://doi.org/10.1109/tkde.2007.190613openalex-snapshot

Mining Nonambiguous Temporal Patterns for Interval-Based Events

inferredcites →https://doi.org/10.1109/tkde.2015.2420557openalex-snapshot

CRoM and HuspExt: Improving Efficiency of High Utility Sequential Pattern Extraction

inferredcites →https://doi.org/10.1109/tkde.2015.2510010openalex-snapshot

Pattern Based Sequence Classification

inferredcites →https://doi.org/10.1109/tkde.2020.2985952openalex-snapshot

Online Spatio-Temporal Crowd Flow Distribution Prediction for Complex Metro System

inferredcites →https://doi.org/10.1109/tnnls.2020.3001377openalex-snapshot

Reservoir Computing Approaches for Representation and Classification of Multivariate Time Series

inferredcites →https://doi.org/10.1109/tpami.2013.72openalex-snapshot

A Bag-of-Features Framework to Classify Time Series

inferredcites →https://doi.org/10.1126/science.1091277openalex-snapshot

Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication

inferredcites →https://doi.org/10.1137/1.9781611972757.50openalex-snapshot

Three Myths about Dynamic Time Warping Data Mining

inferredcites →https://doi.org/10.1137/1.9781611972832.74openalex-snapshot

Fast Shapelets: A Scalable Algorithm for Discovering Time Series Shapelets

inferredcites →https://doi.org/10.1142/s0218001417500021openalex-snapshot

e-NSPFI: Efficient Mining Negative Sequential Pattern from Both Frequent and Infrequent Positive Sequential Patterns

inferredcites →https://doi.org/10.1145/1081870.1081953openalex-snapshot

Optimizing time series discretization for knowledge discovery

inferredcites →https://doi.org/10.1145/1133905.1133916openalex-snapshot

LCM ver.3

inferredcites →https://doi.org/10.1145/1150402.1150485openalex-snapshot

Algorithms for time series knowledge mining

inferredcites →https://doi.org/10.1145/1376616.1376658openalex-snapshot

Mining relationships among interval-based events for classification

inferredcites →https://doi.org/10.1145/182.358434openalex-snapshot

Maintaining knowledge about temporal intervals

inferredcites →https://doi.org/10.1145/1835804.1835900openalex-snapshot

Mining positive and negative patterns for relevance feature discovery

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/10.1145/2414425.2414426openalex-snapshot

Introduction to the special section on twitter and microblogging services

inferredcites →https://doi.org/10.1145/2487575.2487700openalex-snapshot

Model-based kernel for efficient time series analysis

inferredcites →https://doi.org/10.1145/2500489openalex-snapshot

Addressing Big Data Time Series

inferredcites →https://doi.org/10.1145/2508037.2508044openalex-snapshot

A temporal pattern mining approach for classifying electronic health record data

inferredcites →https://doi.org/10.1145/2723372.2749429openalex-snapshot

SMiLer

inferredcites →https://doi.org/10.1145/3065386openalex-snapshot

ImageNet classification with deep convolutional neural networks

inferredcites →https://doi.org/10.1145/3240508.3240681openalex-snapshot

Attentive Crowd Flow Machines

inferredcites →https://doi.org/10.1145/3269206.3271757openalex-snapshot

Network-wide Crowd Flow Prediction of Sydney Trains via Customized Online Non-negative Matrix Factorization

inferredcites →https://doi.org/10.1145/3292500.3330877openalex-snapshot

Origin-Destination Matrix Prediction via Graph Convolution

inferredcites →https://doi.org/10.1145/3311952openalex-snapshot

Negative Sequence Analysis

inferredcites →https://doi.org/10.1145/3314107openalex-snapshot

A Survey of Parallel Sequential Pattern Mining

inferredcites →https://doi.org/10.1145/335191.335372openalex-snapshot

Mining frequent patterns without candidate generation

inferredcites →https://doi.org/10.1145/775047.775109openalex-snapshot

Sequential PAttern mining using a bitmap representation

inferredcites →https://doi.org/10.1145/882082.882086openalex-snapshot

A symbolic representation of time series, with implications for streaming algorithms

inferredcites →https://doi.org/10.1155/2017/6138930openalex-snapshot

Applied Gaussian Process in Optimizing Unburned Carbon Content in Fly Ash for Boiler Combustion

inferredcites →https://doi.org/10.1155/2017/9549323openalex-snapshot

A Cycle Deep Belief Network Model for Multivariate Time Series Classification

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Long Short-Term Memory

inferredcites →https://doi.org/10.1214/aoms/1177729694openalex-snapshot

On Information and Sufficiency

inferredcites →https://doi.org/10.1515/9780691218632openalex-snapshot

Time Series Analysis

inferredcites →https://doi.org/10.1609/aaai.v29i1.9537openalex-snapshot

Clustering Longitudinal Clinical Marker Trajectories from Electronic Health Data: Applications to Phenotyping and Endotype Discovery

inferredcites →https://doi.org/10.1609/aaai.v34i04.5819openalex-snapshot

Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development

inferredcites →https://doi.org/10.1609/aaai.v35i5.16531openalex-snapshot

Complete Closed Time Intervals-Related Patterns Mining

inferredcites →https://doi.org/10.1613/jair.4992openalex-snapshot

A Primer on Neural Network Models for Natural Language Processing

inferredcites →https://doi.org/10.4218/etrij.10.1510.0066openalex-snapshot

A Novel Approach for Mining High-Utility Sequential Patterns in Sequence Databases

inferredcites →https://doi.org/10.4304/jcp.1.3.51-60openalex-snapshot

Generalized Sequential Pattern Mining with Item Intervals

inferredcites →https://doi.org/10.48550/arxiv.1301.3781openalex-snapshot

Efficient Estimation of Word Representations in Vector Space

inferredcites →https://doi.org/10.48550/arxiv.1305.6663openalex-snapshot

Generalized Denoising Auto-Encoders as Generative Models

inferredcites →https://doi.org/10.48550/arxiv.1310.4546openalex-snapshot

Distributed Representations of Words and Phrases and their Compositionality

inferredcites →https://doi.org/10.48550/arxiv.1405.4053openalex-snapshot

Distributed Representations of Sentences and Documents

inferredcites →https://doi.org/10.48550/arxiv.1804.08996openalex-snapshot

Genesis of Basic and Multi-Layer Echo State Network Recurrent Autoencoders for Efficient Data Representations

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Mining Positive and Negative Sequential Pattern in Incremental Transaction Databases

What points at this work

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

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Time-dependent frequent sequence mining-based survival analysis

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Multivariate spatiotemporal clustering based on spatial Toplitz inverse covariance with adaptive information aggregation

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