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A new and optimal architecture for applying association rule mining algorithms on grid

Bouyer, A ; Sharif University of Technology | 2020

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  1. Type of Document: Article
  2. Publisher: IADIS Press , 2020
  3. Abstract:
  4. Grid computing is the on-demand sharing of computing resources with in a tightly-coupled network to solve certain problems. One of the main topics is knowledge discovery and data mining. By using grid computing, we can solve this problem. To achieve these very ambitious goals, we present an architecture for applying Association rule mining algorithms on grid environment. Association rule mining seeks to discover associations among transactions encoded in a database on each machine and then send result to related coordinator. This new architecture is powerful and rapid. We tried to compare our method with a serial processing. Our experimental results show that by using the new architecture on our desired sample, we will get a better speedup with high confidence. © 2007 IADIS
  5. Keywords:
  6. Association Rule ; Cluster computing ; Data mining ; Grid ; Horizontal distribution ; Middleware
  7. Source: 2007 IADIS European Conference on Data Mining, DM 2007, part of the 1st IADIS Multi Conference on Computer Science and Information Systems, MCCSIS 2007, 3 July 2007 through 8 July 2007 ; 2020 , Pages 230-232
  8. URL: http://www.iadisportal.org/digital-library/a-new-and-optimal-architecture-for-applying-association-rule-mining-algorithms-on-grid