Search Results - (( developing lean selection algorithm ) OR ( java visualization mining algorithm ))

Search alternatives:

  • Showing 1 - 5 results of 5
Refine Results
  1. 1
    A performance analysis of association rule mining algorithms

    A performance analysis of association rule mining algorithms by Fageeri, S.O., Ahmad, R., Alhussian, H.

    Published 2016
    “…In this paper, we evaluate the performance of association rule mining algorithms in-terms of execution times and memory usage using the CPU profiler of Java VisualVM. …”
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  2. 2
    Development of a systematic method in lean tool selection for automotive industry

    Development of a systematic method in lean tool selection for automotive industry by Anvari, Alireza

    Published 2012
    “…The developed software probably assists manufacturers in applying the systematic lean tool selection. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  3. 3
    Developing Android Application To Guide Lean Six Sigma PDCA Project

    Developing Android Application To Guide Lean Six Sigma PDCA Project by Ong, Sin Joo

    Published 2018
    “…Massachusetts Institute of Technology (MIT) App Inventor was selected as the application development platform. Guidelines to PDCA, including the associated lean tools for different stages were collected from the literature review. …”
    Get full text
    Get full text
    Monograph
    Save to List
    Saved in:
  4. 4
    Energy-driven scheduling for Digital Video Broadcasting - Satellite Second Generation (DVB-S2)

    Energy-driven scheduling for Digital Video Broadcasting - Satellite Second Generation (DVB-S2) by Thian, Laah Lean, Al-Saegh, Ali Mohammed, Ramli, K. F., Ibrahim, N. S., Sali, Aduwati, Salman, Mustafa Ismael

    Published 2013
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  5. 5
    Developing a hybrid model for accurate short-term water demand prediction under extreme weather conditions: a case study in Melbourne, Australia

    Developing a hybrid model for accurate short-term water demand prediction under extreme weather conditions: a case study in Melbourne, Australia by Zubaidi S.L., Kumar P., Al-Bugharbee H., Ahmed A.N., Ridha H.M., Mo K.H., El-Shafie A.

    Published 2024
    “…The final optimum learning algorithm was selected based on the performance values (regression…”
    Article
    Save to List
    Saved in:

Search Tools: