Sciweavers

    DMIN
    2006
    122views Data Mining» more  DMIN 2006»
    Clustering of Bi-Dimensional and Heterogeneous Time Series: Application to Social Sciences Data
    13 years 6 months ago
    Clustering of Bi-Dimensional and Heterogeneous Time Series: Application to Social Sciences Data
    Download  ww1.ucmss.com
    We present an application of bi-dimensional and heterogeneous time series clustering in order to resolve a Social Sciences issue. The dataset is the result of a survey involving mo...
    Rémi Gaudin, Sylvaine Barbier, Nicolas Nico...
    claim paper
    Read More »
    DMIN
    2006
    138views Data Mining» more  DMIN 2006»
    Financial Time Series Segmentation based on Specialized Binary Tree Representation
    13 years 6 months ago
    Financial Time Series Segmentation based on Specialized Binary Tree Representation
    Download  ww1.ucmss.com
    Segmentation is one of the fundamental components in time series data mining. One of the uses of the time series segmentation is trend analysis - to segment the time series into pr...
    Tak-Chung Fu, Fu-Lai Chung, Chak-man Ng
    claim paper
    Read More »
    DBA
    2006
    236views Database» more  DBA 2006»
    Quantizing Time Series for Efficient Subsequence Matching
    13 years 6 months ago
    Quantizing Time Series for Efficient Subsequence Matching
    Download  ifvega.pcc.uasnet.mx
    Indexing time series data is an interesting problem that has attracted much interest in the research community for the last decade. Traditional indexing methods organize the data ...
    Inés Fernando Vega López, Bongki Moo...
    claim paper
    Read More »
    SDM
    2007
    SIAM
    171views Data Mining» more  SDM 2007»
    A Better Alternative to Piecewise Linear Time Series Segmentation
    13 years 6 months ago
    A Better Alternative to Piecewise Linear Time Series Segmentation
    Download  siam.org
    Time series are difficult to monitor, summarize and predict. Segmentation organizes time series into few intervals having uniform characteristics (flatness, linearity, modality,...
    Daniel Lemire
    claim paper
    Read More »
    IJCAI
    2007
    184views Artificial Intelligence» more  IJCAI 2007»
    All Common Subsequences
    13 years 6 months ago
    All Common Subsequences
    Download  www.ijcai.org
    Time series data abounds in real world problems. Measuring the similarity of time series is a key to solving these problems. One state of the art measure is the longest common sub...
    Hui Wang
    claim paper
    Read More »
    ICONIP
    2008
    161views Information Technology» more  ICONIP 2008»
    Time Series Analysis for Long Term Prediction of Human Movement Trajectories
    13 years 6 months ago
    Time Series Analysis for Long Term Prediction of Human Movement Trajectories
    Download  www.tu-ilmenau.de
    This paper's intention is to adapt prediction algorithms well known in the field of time series analysis to problems being faced in the field of mobile robotics and Human-Robo...
    Sven Hellbach, Julian Eggert, Edgar Körner, H...
    claim paper
    Read More »
    ICONIP
    2008
    105views Information Technology» more  ICONIP 2008»
    An Exemplar-Based Statistical Model for the Dynamics of Neural Synchrony
    13 years 6 months ago
    An Exemplar-Based Statistical Model for the Dynamics of Neural Synchrony
    Download  www.dauwels.com
    Abstract. A method is proposed to determine the similarity of a collection of time series. As a first step, one extracts events from the time series, in other words, one converts e...
    Justin Dauwels, François B. Vialatte, Theop...
    claim paper
    Read More »
    IADIS
    2008
    173views Internet Technology» more  IADIS 2008»
    Data Mining In Non-Stationary Multidimensional Time Series Using A Rule Similarity Measure
    13 years 6 months ago
    Data Mining In Non-Stationary Multidimensional Time Series Using A Rule Similarity Measure
    Download  www.iadis.net
    Time series analysis is a wide area of knowledge that studies processes in their evolution. The classical research in the area tends to find global laws underlying the behaviour o...
    Nikolay V. Filipenkov
    claim paper
    Read More »
    SDM
    2010
    SIAM
    156views Data Mining» more  SDM 2010»
    Unsupervised Discovery of Abnormal Activity Occurrences in Multi-dimensional Time Series, with Applications in Wearable Systems
    13 years 6 months ago
    Unsupervised Discovery of Abnormal Activity Occurrences in Multi-dimensional Time Series, with Applications in Wearable Systems
    Download  cs.ucla.edu
    We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
    Alireza Vahdatpour, Majid Sarrafzadeh
    claim paper
    Read More »
    EUSFLAT
    2007
    227views Fuzzy Logic» more  EUSFLAT 2007»
    Time Series Prediction by Perturbed Fuzzy Model
    13 years 6 months ago
    Time Series Prediction by Perturbed Fuzzy Model
    Download  www.eusflat.org
    This paper presents a fuzzy system approach to the prediction of nonlinear time series and dynamical systems based on a fuzzy model that includes its derivative information. The u...
    Paulo Salgado, Getúlio Igrejas, Fernando Go...
    claim paper
    Read More »
    « first‹ previous…789101112131415…next ›last »
    Explore & Download
    Proceedings Preprints Top 5 Ranked Papers Publications Books Software Tutorials Presentations Lectures Notes Datasets
    Productivity Tools
    International On-screen Keyboard Graphical Social Symbols OCR Text Recognition CSS3 Style Generator Web Page to PDF Web Page to Image PDF Split PDF Merge Latex Equation Editor Sci2ools
    Document Tools
    PDF to Text PDF to Postscript PDF to Thumbnails Excel to PDF Word to PDF Postscript to PDF PowerPoint to PDF Latex to Word Repair Corrupted PDF
    Image Tools
    JPG to PS JPG to PDF Extract Images from PDF Image Converter
    Sciweavers
    About Community Cookies Privacy Policy Terms of Use

    Copyright © Sciweavers LLC, 2009-2024, USA.