Basic Search / Search Result

  • Search Result: 3results Search Strategy: "Department of Computer Science and Information Engineering".edept (Phrase) and ekeyword.raw="maximal frequent itemset"


  • Refine the results: Search Expand the trend chart of search results

  • Individualized services

    My Search Strategy

  • Sort:

      
  • Selected0results


      Select all on this page

    1

    A Hybrid Predictive Maximal Frequent Itemset Mining Algorithm On P2P Network
    • Department of Computer Science and Information Engineering /100/ Master
    • Author: Hsin-Hsien Lu Advisor: Chyouhwa Chen Wei-Chung Teng
    • Abstract—We propose a novel algorithm for distributed maximal frequent itemset mining in unstructur…
    • Clicks: 319Downloads: 0
    • Full text public date 2017/07/31 (Intranet public)
    • Full text public date This full text is not authorized to be published. (Internet public)
    • Full text public date This full text is not authorized to be published. (National library)

    2

    Predictive Search Approach to Maximal Frequent Itemset Mining on P2P Networks
    • Department of Computer Science and Information Engineering /98/ Master
    • Author: SHEA-YU YELLOW Advisor: Chyou-Hwa Chen
    • Predictive Search Approach to Maximal Frequent Itemset Mining on P2P Networks
    • Clicks: 209Downloads: 0
    • Full text public date 2015/08/02 (Intranet public)
    • Full text public date This full text is not authorized to be published. (Internet public)
    • Full text public date This full text is not authorized to be published. (National library)

    3

    A Predictive Maximal Frequent Itemset Mining Algorithm On P2P Network
    • Department of Computer Science and Information Engineering /100/ Master
    • Author: Tung-chen Lin Advisor: Chyou-Hwa Chen
    • Association rule mining is one of most popular problems in the field of data mining. We propose a n…
    • Clicks: 112Downloads: 0
    • Full text public date 2017/08/06 (Intranet public)
    • Full text public date This full text is not authorized to be published. (Internet public)
    • Full text public date This full text is not authorized to be published. (National library)
    1