• Login
    View Item 
    •   Home
    • Research
    • Conference Papers
    • View Item
    •   Home
    • Research
    • Conference Papers
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of KAUSTCommunitiesIssue DateSubmit DateThis CollectionIssue DateSubmit Date

    My Account

    Login

    Quick Links

    Open Access PolicyORCID LibguideTheses and Dissertations LibguideSubmit an Item

    Statistics

    Display statistics

    Incremental Frequent Subgraph Mining on Large Evolving Graphs

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    08509462.pdf
    Size:
    109.9Kb
    Format:
    PDF
    Description:
    Expanded Abstract
    Download
    Type
    Conference Paper
    Authors
    Abdelhamid, Ehab
    Canim, Mustafa
    Sadoghi, Mohammad
    Bhattacharjee, Bishwaranjan
    Chang, Yuan-Chi
    Kalnis, Panos cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Computer Science Program
    King Abdullah University of Science and Technology, , United States
    Date
    2018-10-25
    Online Publication Date
    2018-10-25
    Print Publication Date
    2018-04
    Permanent link to this record
    http://hdl.handle.net/10754/630372
    
    Metadata
    Show full item record
    Abstract
    Frequent subgraph mining is a core graph operation used in many domains. Most existing techniques target static graphs. However, modern applications utilize large evolving graphs. Mining these graphs using existing techniques is infeasible because of the high computational cost. We propose IncGM+, a fast incremental approach for frequent subgraph mining on large evolving graphs. We adapt the notion of 'fringe' to the graph context, that is, the set of subgraphs on the border between frequent and infrequent subgraphs. IncGM+ maintains fringe subgraphs and exploits them to prune the search space. To boost efficiency, IncGM+ stores a number of selected embeddings to avoid redundant expensive subgraph isomorphism operations. Moreover, the proposed system supports batch updates. Our results confirm that IncGM+ outperforms existing methods, scales to larger graphs and consumes less memory.
    Citation
    Abdelhamid E, Canim M, Sadoghi M, Bhattacharjee B, Chang Y-C, et al. (2018) Incremental Frequent Subgraph Mining on Large Evolving Graphs. 2018 IEEE 34th International Conference on Data Engineering (ICDE). Available: http://dx.doi.org/10.1109/ICDE.2018.00241.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2018 IEEE 34th International Conference on Data Engineering (ICDE)
    Conference/Event name
    34th IEEE International Conference on Data Engineering, ICDE 2018
    DOI
    10.1109/ICDE.2018.00241
    Additional Links
    https://ieeexplore.ieee.org/document/8509462
    ae974a485f413a2113503eed53cd6c53
    10.1109/ICDE.2018.00241
    Scopus Count
    Collections
    Conference Papers; Computer Science Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

    entitlement

     
    DSpace software copyright © 2002-2022  DuraSpace
    Quick Guide | Contact Us | KAUST University Library
    Open Repository is a service hosted by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items. For anonymous users the allowed maximum amount is 50 search results.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.