Sciweavers

    25041 search results - page 219 / 5009
    » Algorithms for Clustering Data
    Sort
    View
    SDM
    2009
    SIAM
    223views Data Mining» more  SDM 2009»
    Context Aware Trace Clustering: Towards Improving Process Mining Results.
    16 years 1 months ago
    Context Aware Trace Clustering: Towards Improving Process Mining Results.
    Download  www.siam.org
    Process Mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms...
    R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
    claim paper
    Read More »
    SAC
    2008
    ACM
    158views Applied Computing» more  SAC 2008»
    Efficient concept clustering for ontology learning using an event life cycle on the web
    15 years 4 months ago
    Efficient concept clustering for ontology learning using an event life cycle on the web
    Download  sir-lab.usc.edu
    Ontology learning integrates many complementary techniques, including machine learning, natural language processing, and data mining. Specifically, clustering techniques facilitat...
    Sangsoo Sung, Seokkyung Chung, Dennis McLeod
    claim paper
    Read More »
    PAMI
    1998
    128views more  PAMI 1998»
    A Hierarchical Latent Variable Model for Data Visualization
    15 years 4 months ago
    A Hierarchical Latent Variable Model for Data Visualization
    Download  www.miketipping.com
    —Visualization has proven to be a powerful and widely-applicable tool for the analysis and interpretation of multivariate data. Most visualization algorithms aim to find a projec...
    Christopher M. Bishop, Michael E. Tipping
    claim paper
    Read More »
    147
    Voted
    SDM
    2009
    SIAM
    184views Data Mining» more  SDM 2009»
    DensEst: Density Estimation for Data Mining in High Dimensional Spaces.
    16 years 1 months ago
    DensEst: Density Estimation for Data Mining in High Dimensional Spaces.
    Download  www.siam.org
    Subspace clustering and frequent itemset mining via “stepby-step” algorithms that search the subspace/pattern lattice in a top-down or bottom-up fashion do not scale to large ...
    Emmanuel Müller, Ira Assent, Ralph Krieger, S...
    claim paper
    Read More »
    SDM
    2009
    SIAM
    205views Data Mining» more  SDM 2009»
    Identifying Information-Rich Subspace Trends in High-Dimensional Data.
    16 years 1 months ago
    Identifying Information-Rich Subspace Trends in High-Dimensional Data.
    Download  www.siam.org
    Identifying information-rich subsets in high-dimensional spaces and representing them as order revealing patterns (or trends) is an important and challenging research problem in m...
    Chandan K. Reddy, Snehal Pokharkar
    claim paper
    Read More »
    Explore & Download
    Proceedings Preprints Top 5 Ranked Papers Publications Books Software Tutorials Presentations Lectures Notes Datasets
    Productivity Tools
    i2PDF i2Img i2Text i2OCR i2Symbol i2Type i2Speak i2Style i2Arabic i2Bopomo Latex Equation Editor
    Sciweavers
    About Community Cookies Privacy Policy Terms of Use

    Copyright © Sciweavers LLC, 2009-2026, USA.