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    PVLDB
    2008
    93views more  PVLDB 2008»
    Querying and mining of time series data: experimental comparison of representations and distance measures
    13 years 4 months ago
    Querying and mining of time series data: experimental comparison of representations and distance measures
    Download  users.eecs.northwestern.edu
    The last decade has witnessed a tremendous growths of interests in applications that deal with querying and mining of time series data. Numerous representation methods for dimensi...
    Hui Ding, Goce Trajcevski, Peter Scheuermann, Xiao...
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    SIGPRO
    2008
    136views more  SIGPRO 2008»
    Estimation of slowly varying parameters in nonlinear systems via symbolic dynamic filtering
    13 years 4 months ago
    Estimation of slowly varying parameters in nonlinear systems via symbolic dynamic filtering
    Download  www.mne.psu.edu
    This paper introduces a novel method for real-time estimation of slowly varying parameters in nonlinear dynamical systems. The core concept is built upon the principles of symboli...
    Venkatesh Rajagopalan, Subhadeep Chakraborty, Asok...
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    CG
    2007
    Springer
    142views Computer Graphics» more  CG 2007»
    Best analogs for replacing missing image data
    13 years 4 months ago
    Best analogs for replacing missing image data
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    Identifying the historical data that is the best analog with a pattern from which a forecast is sought allows time series data to be extrapolated. That technique of best analogs i...
    Ning Chen, Clifford A. Reiter
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    CSDA
    2006
    116views more  CSDA 2006»
    Bayesian multiscale analysis for time series data
    13 years 4 months ago
    Bayesian multiscale analysis for time series data
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    A recently proposed Bayesian multiscale tool for exploratory analysis of time series data is reconsidered and umerous important improvements are suggested. The improvements are in...
    Tor Arne Øigård, Håvard Rue, Fr...
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    CORR
    2010
    Springer
    85views Education» more  CORR 2010»
    The Motif Tracking Algorithm
    13 years 4 months ago
    The Motif Tracking Algorithm
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    : The search for patterns or motifs in data represents a problem area of key interest to finance and economic researchers. In this paper we introduce the Motif Tracking Algorithm, ...
    William O. Wilson, Phil Birkin, Uwe Aickelin
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    AMW
    2009
    133views Knowledge Management» more  AMW 2009»
    T3: On Mapping Text To Time Series
    13 years 5 months ago
    T3: On Mapping Text To Time Series
    Download  pike.psu.edu
    We investigate if the mapping between text and time series data is feasible such that relevant data mining problems in text can find their counterparts in time series (and vice ver...
    Tao Yang, Dongwon Lee
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    FLAIRS
    2000
    148views Artificial Intelligence» more  FLAIRS 2000»
    Inferencing Bayesian Networks from Time Series Data Using Natural Selection
    13 years 5 months ago
    Inferencing Bayesian Networks from Time Series Data Using Natural Selection
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    This paper describes a new framework for using natural selection to evolve Bayesian Networks for use in forecasting time series data. It extends current research by introducing a ...
    Andrew J. Novobilski, Farhad Kamangar
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    SDM
    2003
    SIAM
    184views Data Mining» more  SDM 2003»
    Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
    13 years 5 months ago
    Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
    Download  www-users.cs.umn.edu
    The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
    Levent Ertöz, Michael Steinbach, Vipin Kumar
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    EACL
    2003
    ACL Anthology
    118views Natural Language Processing» more  EACL 2003»
    Summarizing Neonatal Time Series Data
    13 years 6 months ago
    Summarizing Neonatal Time Series Data
    Download  www.csd.abdn.ac.uk
    We describe our investigations in generating textual summaries of physiological time series data to aid medical personnel in monitoring babies in neonatal intensive care units. Ou...
    Somayajulu Sripada, Ehud Reiter, Jim Hunter, Jin Y...
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    AIA
    2006
    93views Artificial Intelligence» more  AIA 2006»
    Efficient Algorithm for Calculating Similarity between Trajectories Containing an Increasing Dimension
    13 years 6 months ago
    Efficient Algorithm for Calculating Similarity between Trajectories Containing an Increasing Dimension
    Download  www.ee.oulu.fi
    Time series data is usually stored and processed in the form of discrete trajectories of multidimensional measurement points. In order to compare the measurements of a query traje...
    Perttu Laurinen, Pekka Siirtola, Juha Röning
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