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Data Mining in Time Series Databases
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Average Brain Models: A Convergence Study
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Learning First Order Logic Time Series Classifiers: Rules and Boosting
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A Simple Dimensionality Reduction Technique for Fast Similarity Search in Large Time Series Databases
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Extraction of Primitive Motion for Human Motion Recognition
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Capturing the Uncertainty of Moving-Object Representations
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Knowledge-Based Event Detection in Complex Time Series Data
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Efficient similarity search in sequence databases
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Learning under persistent drift
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Finding similar time series
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The case for graph-structured representations
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Scaling up Dynamic Time Warping to Massive Datasets
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Data Mining and Computational Intelligence
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Introduction to Time Series and Forecasting
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Knowledge Acquisition Via Incremental Conceptual Clustering
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Learning in the Presence of Concept Drift and Hidden Contexts
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An analytical approach to the dynamic topology problem
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ECG segmentation using time-warping
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Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases
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On the Weighted Mean of a Pair of Strings
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Exact indexing of dynamic time warping
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Laplace eigenvalues of graphs—a survey
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Hierarchical attributed graph representation and recognition of handwritten chinese characters
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Syntactic recognition of ECG signals by attributed finite automata
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Efficient dynamic programming alignment of cyclic strings by shift elimination
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Electroencephalography—Basic principles, clinical applications and related fields
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A survey of thresholding techniques
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Introduction to graph grammars with applications to semantic networks
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Indexing and Retrieval
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A Comparative Evaluation of Voting and Meta-learning on Partitioned Data
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Video indexing and similarity retrieval by largest common subgraph detection using decision trees
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An approximate median search algorithm in non-metric spaces
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A mean string algorithm to compute the average among a set of 2D shapes
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Hierarchical-fuzzy clustering of temporal-patterns and its application for time-series prediction
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Topology of strings: Median string is NP-complete
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The consensus string problem for a metric is NP-complete
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Applications to graph theory
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Algorithms on Strings, Trees and Sequences
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Relaxing the Triangle Inequality in Pattern Matching
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Incremental Feature Selection
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Discovering Robust Knowledge from Databases that Change
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Detecting Common Signals in Multiple Time Series Using the Spectral Envelope
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Testing change-points with linear trend
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On the Complexity of Multiple Sequence Alignment
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On computation of the running median
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Dynamic programming alignment of sequences representing cyclic patterns
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Computation of normalized edit distance and applications
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An eigendecomposition approach to weighted graph matching problems
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A new algorithm for error-tolerant subgraph isomorphism detection
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Medical image analysis: progress over two decades and the challenges ahead
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Symbol recognition by error-tolerant subgraph matching between region adjacency graphs
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An median graphs: properties, algorithms, and applications
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Knowledge discovery in time series databases
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Data mining: an overview from a database perspective
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Mobile computing and databases-a survey
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Querying time series data based on similarity
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Quantitative measures of change based on feature organization: eigenvalues and eigenvectors
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Beyond thresholds: an alternative method for extracting information from network measurements
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Approximate queries and representations for large data sequences
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Efficient retrieval of similar time sequences under time warping
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Landmarks: a new model for similarity-based pattern querying in time series databases
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Similarity search for multidimensional data sequences
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Variable length queries for time series data
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An index-based approach for similarity search supporting time warping in large sequence databases
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An incremental learning algorithm that optimizes network size and sample size in one trial
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Speeding up the computation of the edit distance for cyclic strings
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Detection of abnormal change in dynamic networks
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Wavelet decomposition of heart period data
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Consistency and generalization in incrementally trained connectionist networks
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Performance of incremental update in database rule processing
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A signature technique for similarity-based queries
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A fast algorithm on average for all-against-all sequence matching
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Supporting content-based searches on time series via approximation
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Incremental algorithms for managing temporal constraints
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Dynamic time-series forecasting using local approximation
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Scan-Along Polygonal Approximation for Data Compression of Electrocardiograms
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Similarity of event sequences
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Haar wavelets for efficient similarity search of time-series: with and without time warping
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On the Quality of Spectral Separators
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LOCAL FEATURE EXTRACTION AND ITS APPLICATIONS USING A LIBRARY OF BASES
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SEARCH FOR PATTERNS IN COMPRESSED TIME SERIES
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Similarity-based queries for time series data
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Time-series similarity problems and well-separated geometric sets
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Supporting fast search in time series for movement patterns in multiple scales
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Fast time-series searching with scaling and shifting
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Event detection from time series data
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Trajectory clustering with mixtures of regression models
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Evaluating a class of distance-mapping algorithms for data mining and clustering
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Adaptive query processing for time-series data
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Relevance feedback retrieval of time series data
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The String-to-String Correction Problem
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Indexing large metric spaces for similarity search queries
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Indexing the positions of continuously moving objects
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Mining IC test data to optimize VLSI testing
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Scaling up dynamic time warping for datamining applications
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Discovering similar patterns in time series
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A comparison of DFT and DWT based similarity search in time-series databases
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Segment-based approach for subsequence searches in sequence databases
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Locally adaptive dimensionality reduction for indexing large time series databases
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Mining time-changing data streams
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Finding surprising patterns in a time series database in linear time and space
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Query-by-Example: A data base language
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Fast Time Sequence Indexing for Arbitrary Lp Norms
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The R+-Tree: A Dynamic Index for Multi-Dimensional Objects
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Algebraic connectivity of graphs
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Change Detection Model for Serially Correlated Multivariate Data
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ALGORITHMS FOR THE REDUCTION OF THE NUMBER OF POINTS REQUIRED TO REPRESENT A DIGITIZED LINE OR ITS CARICATURE
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Boosting interval based literals1
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Data Mining for Moving Object Databases
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Comparison of Two Different Prediction Schemes for the Analysis of Time Series of Graphs
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Analysis of Time Series of Graphs: Prediction of Node Presence by Means of Decision Tree Learning
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Case Based Representation and Retrieval with Time Dependent Features
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Segment and Combine Approach for Non-parametric Time-Series Classification
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Data Mining in Inductive Databases
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Discovering Key Sequences in Time Series Data for Pattern Classification
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Computer Network Monitoring and Abnormal Event Detection Using Graph Matching and Multidimensional Scaling
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Discovering Temporal Knowledge in Multivariate Time Series
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Memetic Genetic Algorithms for Time Series Compression by Piecewise Linear Approximation
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Soft Computing Based Epidemical Crisis Prediction
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Listen to the Sound of Data
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Linguistic Summaries of Time Series: A Powerful and Prospective Tool for Discovering Knowledge on Time Varying Processes and Systems
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Graph Sequence Visualisation and its Application to Computer Network Monitoring and Abnormal Event Detection
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Pseudo Period Detection on Time Series Stream with Scale Smoothing
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Multi-level Abstractions and Multi-dimensional Retrieval of Cases with Time Series Features
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When Optimization Is Just an Illusion
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LiLoLe—A Framework for Lifelong Learning from Sensor Data Streams for Predictive User Modelling
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Support Vector Regression Prediction Method of Text Data Based on Correlation Analysis
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Piecewise evolutionary segmentation for feature extraction in time series models
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An efficient pattern mining approach for event detection in multivariate temporal data
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Evolutionary Rule Mining in Time Series Databases
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Pseudo-outcrop Visualization of Borehole Images and Core Scans
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Extracting representative motion flows for effective video retrieval
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Data science as a language: challenges for computer science—a position paper
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Astro- and Geoinformatics – Visually Guided Classification of Time Series Data
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Case-based retrieval to support the treatment of end stage renal failure patients
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Temporal abstraction in intelligent clinical data analysis: A survey
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Temporal abstraction and temporal Bayesian networks in clinical domains: A survey
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Multichannel mixture models for time-series analysis and classification of engagement with multiple health services: An application to psychology and physiotherapy utilization patterns after traffic accidents
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Integrating piecewise linear representation and weighted support vector machine for stock trading signal prediction
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Learning regularity in an economic time-series for structure prediction
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Time series represented by means of fuzzy piecewise lineal segments
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Mining association rules from time series to explain failures in a hot-dip galvanizing steel line
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PathZip: A lightweight scheme for tracing packet path in wireless sensor networks
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Aceto-white temporal pattern classification using k-NN to identify precancerous cervical lesion in colposcopic images
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Learning rule in MFR pulse sequence for behavior mode prediction
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Empirical evaluation of an automated intraday stock recommendation system incorporating both market data and textual news
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Optimal Bayesian fault prediction scheme for a partially observable system subject to random failure
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On case-based control of dynamic industrial processes with the use of fuzzy representation
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A framework for on-line trend extraction and fault diagnosis
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Long-term prediction of time series using fuzzy cognitive maps
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A novel feature engineering approach for high-frequency financial data
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Adaptive feature fusion and disturbance correction for accurate remaining useful life prediction of rolling bearings
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Classification for consumption data in smart grid based on forecasting time series
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Effective fuzzy c-means clustering algorithms for data clustering problems
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Synergistic case-based reasoning in medical domains
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Characterization of time series for analyzing of the evolution of time series clusters
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Subjective data arrangement using clustering techniques for training expert systems
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Eating and drinking gesture spotting and recognition using a novel adaptive segmentation technique and a gesture discrepancy measure
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Mining Sensor Data in Larger Physical Systems
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Data Quality Assessment for System Identification in the Age of Big Data and Industry 4.0
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Rogue seasonality detection in supply chains
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Multivariable stream data classification using motifs and their temporal relations
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Segmenting time series with connected lines under maximum error bound
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EEG signal analysis for epileptic seizures detection by applying Data Mining techniques
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A dimensionality reduction technique for efficient time series similarity analysis
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Time-series clustering – A decade review
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Precedence Temporal Networks to represent temporal relationships in gene expression data
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Application of time series discretization using evolutionary programming for classification of precancerous cervical lesions
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Exploring shapelet transformation for time series classification in decision trees
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A multivariate time series segmentation algorithm for analyzing the operating statuses of tunnel boring machines
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TA4L: Efficient temporal abstraction of multivariate time series
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On the use of evolutionary time series analysis for segmenting paleoclimate data
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Portability rules detection by Epilepsy Tracking META-Set Analysis
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Clustering of time series data—a survey
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Recovery of missing information in graph sequences by means of reference pattern matching and decision tree learning
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A new clustering algorithm for coordinate-free data
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Generalized median string computation by means of string embedding in vector spaces
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Memetic algorithm for multivariate time-series segmentation
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Extended AIC model based on high order moments and its application in the financial market
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An adaptive time series segmentation algorithm based on visibility graph and particle swarm optimization
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A Decision Support System for Emergency Flood Embankment Stability
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Health of Humans and Machines in a Common Perspective
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Exploring and visualizing temporal relations in multivariate time series
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Unsteady pressure patterns discovery from high-frequency sensing in water distribution systems
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Correction to “Unsupervised Segmentation-Based Machine Learning as an Advanced Analysis Tool for Single Molecule Break Junction Data”
inferred← citeshttps://doi.org/10.1061/9780784482438.008openalex-snapshot
Pressure Transient Detection and Pattern Discovery in Water Distribution Systems
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On the understanding of profiles by means of post-processing techniques: an application to financial assets
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Churn detection via customer profile modelling
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Compression of time series by extracting major extrema
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Agile Prediction of Ongoing Temporal Sequences Based on Dominative Random Subsequences
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Bearing life prediction method based on the multiscale degradation fusion algorithm and an ensemble BIGRU network
inferred← citeshttps://doi.org/10.1088/1742-6596/1302/2/022085openalex-snapshot
Dynamic Adaptive Piecewise Linear Representation Approach Based on Streaming Time Series
inferred← citeshttps://doi.org/10.1093/bioinformatics/btz055openalex-snapshot
Efficient implementation of convolutional neural networks in the data processing of two-photon in vivo imaging
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Autoregressive search of gravitational waves: Denoising
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Extraction of optimal control patterns in industrial batch processes based on Support Vector Machines
inferred← citeshttps://doi.org/10.1109/cidm.2009.4938665openalex-snapshot
MWASP: Multiple-Width Approximate Sequential Patterns
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A novel dot-plot algorithm for surface EMG signal segment identification
inferred← citeshttps://doi.org/10.1109/codit.2019.8820629openalex-snapshot
MACD-Histogram-based Fully Convolutional Neural Networks for Classifying Time Series
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Human motion segmentation by data point classification
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Temporal Analysis for Epileptic Seizure Detection by Using Data Mining Approach
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Full-body multi-primitive segmentation using classifiers
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An inverse problem approach to approximating sensor data in cyber physical systems
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Benefiting from Data Mining Techniques in a Hybrid Peer-to-Peer Network
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A Multiresolution Symbolic Representation of Time Series
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Energy description of human motion capture data
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Causal structure learning in process engineering using Bayes Nets and soft interventions
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Cross-correlation based clustering and dimension reduction of multivariate time series
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Linguistic Summaries of Time Series Using a Degree of Appropriateness as a Measure of Interestingness
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MACD-histogram-based recurrence plot: A new representation for time series classification
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PathZip: Packet path tracing in wireless sensor networks
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A signal alingment method based on DTW with new modification
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Novel Consumer Classification Scheme for Smart Grids
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Clustering of time series using hybrid symbolic aggregate approximation
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A Formal Study of Shot Boundary Detection
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Takagi--Sugeno--Kang Fuzzy Classifiers for a Special Class of Time-Varying Systems
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Novel Online Methods for Time Series Segmentation
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A Framework for Similarity Search of Time Series Cliques with Natural Relations
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Supporting Flexible, Efficient, and User-Interpretable Retrieval of Similar Time Series
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An Edit-Distance Model for the Approximate Matching of Timed Strings
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A Bag-of-Features Framework to Classify Time Series
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Discovering Contexts from Observed Human Performance
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ACCOUNTING FOR THE TEMPORAL DIMENSION IN CASE‐BASED RETRIEVAL: A FRAMEWORK FOR MEDICAL APPLICATIONS
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Automated Feature Extraction from Profiles with Application to a Batch Fermentation Process
inferred← citeshttps://doi.org/10.1111/j.1468-0394.2011.00605.xopenalex-snapshot
Feature selection for classification of oscillating time series
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Structural performance‐based anomaly detection for velocity pulse
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Automatic Detection of Manufacturing Equipment Cycles Using Time Series
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Bacterial Tethering Analysis Reveals a “Run-Reverse-Turn” Mechanism for Pseudomonas Species Motility
inferred← citeshttps://doi.org/10.1142/s0218001418600042openalex-snapshot
Semi-Automatic Analysis for Unidimensional Immunoblot Images to Discriminate Breast Cancer Cases Using Time Series Data Mining
inferred← citeshttps://doi.org/10.1142/s0218213011000206openalex-snapshot
PIECEWISE LINEAR REPRESENTATION SEGMENTATION IN NOISY DOMAINS WITH A LARGE NUMBER OF MEASUREMENTS: THE AIR TRAFFIC CONTROL DOMAIN
inferred← citeshttps://doi.org/10.1145/1007568.1007636openalex-snapshot
Indexing spatio-temporal trajectories with Chebyshev polynomials
inferred← citeshttps://doi.org/10.1145/1073204.1073247openalex-snapshot
Efficient content-based retrieval of motion capture data
inferred← citeshttps://doi.org/10.1145/1081870.1081953openalex-snapshot
Optimizing time series discretization for knowledge discovery
inferred← citeshttps://doi.org/10.1145/1164717.1164768openalex-snapshot
An energy-efficient querying framework in sensor networks for detecting node similarities
inferred← citeshttps://doi.org/10.1145/1577222.1577235openalex-snapshot
Analysis of traffic data from a hybrid satellite-terrestrial network
inferred← citeshttps://doi.org/10.1145/1814245.1814255openalex-snapshot
Approximate variable-length time series motif discovery using grammar inference
inferred← citeshttps://doi.org/10.1145/1879141.1879160openalex-snapshot
On the feasibility of effective opportunistic spectrum access
inferred← citeshttps://doi.org/10.1145/2783258.2788588openalex-snapshot
Early Prediction of Cardiac Arrest (Code Blue) using Electronic Medical Records
inferred← citeshttps://doi.org/10.1145/3511918openalex-snapshot
Semantics and Anomaly Preserving Sampling Strategy for Large-Scale Time Series Data
inferred← citeshttps://doi.org/10.11606/d.55.2014.tde-04062014-142915openalex-snapshot
Mineração de padrões frequentes em séries temporais para apoio à tomada de decisão em agrometereologia
inferred← citeshttps://doi.org/10.11606/t.3.2007.tde-28032008-180226openalex-snapshot
Desenvolvimento de sistema especialista com operacionalidade de aprendizado para operar em tempo real com sistemas industriais automatizados.
inferred← citeshttps://doi.org/10.1179/030192310x12690127076514openalex-snapshot
Realistic modelling and optimisation of steel section cooling process
inferred← citeshttps://doi.org/10.1371/journal.pone.0239494openalex-snapshot
Segmentation of time series in up- and down-trends using the epsilon-tau procedure with application to USD/JPY foreign exchange market data
inferred← citeshttps://doi.org/10.14738/tmlai.35.1051openalex-snapshot
Temporal Association Rule Mining: With Application to US Stock Market
inferred← citeshttps://doi.org/10.1525/mp.2009.26.5.451openalex-snapshot
Moving with and Without Music: Scaling and Lapsing in Time in the Performance of Contemporary Dance
inferred← citeshttps://doi.org/10.17509/ijost.v3i1.10799openalex-snapshot
Prediction and Classification of Low Birth Weight Data Using Machine Learning Techniques
inferred← citeshttps://doi.org/10.17560/atp.v51i07.93openalex-snapshot
Optimierung der Prozessführung komplexer verfahrenstechnischer Prozesse mit Support Vector Machines
inferred← citeshttps://doi.org/10.21307/ijssis-2020-029openalex-snapshot
Concept Drift Evolution In Machine Learning Approaches: A Systematic Literature Review
inferred← citeshttps://doi.org/10.2166/wcc.2026.163openalex-snapshot
A simplified BLP-based approach for IBWT operation lacking regulating reservoir: optimization and structural analysis
inferred← citeshttps://doi.org/10.21936/si2010_v31.n2b.417openalex-snapshot
Wykorzystanie metod i narzędzi eksploracji danych do analizy zmienności natężenia dopływu do komunalnych oczyszczalni ścieków
inferred← citeshttps://doi.org/10.2196/11201openalex-snapshot
Applying Multivariate Segmentation Methods to Human Activity Recognition From Wearable Sensors’ Data
inferred← citeshttps://doi.org/10.2991/.2013.40openalex-snapshot
Time Series Classification using Motifs and Characteristics Extraction: A Case Study on ECG Databases
inferred← citeshttps://doi.org/10.3115/1609067.1609161openalex-snapshot
Feature-based method for document alignment in comparable news corpora
inferred← citeshttps://doi.org/10.3156/jsoft.21.587openalex-snapshot
Extraction of Relational structure from time series data using Inductive Logic Programming: A Platform for skillful motion analysis
inferred← citeshttps://doi.org/10.3182/20110828-6-it-1002.02017openalex-snapshot
Local Decision-Making in Multiple Levels for Lottery Data Analysis
inferred← citeshttps://doi.org/10.3233/ida-130605openalex-snapshot
A methodological approach to mining and simulating data in complex information systems
inferred← citeshttps://doi.org/10.34019/ufjf/di/2022/00060openalex-snapshot
Desenvolvimento e avaliação de sistema internet das coisas para monitoramento de temperatura de equipamentos em unidades de alimentação e nutrição
inferred← citeshttps://doi.org/10.3906/elk-1112-71openalex-snapshot
An automated signal alignment algorithm based on dynamic time warping for capillary electrophoresis data
inferred← citeshttps://doi.org/10.3989/revmetalm.0911openalex-snapshot
Análisis de estrategias de enfriamiento de raíles mediante simulación numérica con cálculo instantáneo del coeficiente de expansión térmica
inferred← citeshttps://doi.org/10.48550/arxiv.0911.0822openalex-snapshot
Prediction of wavefronts in adaptive optics to reduce servo lag errors using data mining
inferred← citeshttps://doi.org/10.5120/13338-0621openalex-snapshot
A Comparative Study on FFNN and ARIMA Model in the Presence of Outliers
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