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Study of Data Mining Techniques and Its Types

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  • Alok Kumar Awasthi

Abstract

Data mining, classification, clustering, decision tree, Associative rule embedded processor technology moving towards faster and smaller processors and systems on a chip, it becomes increasingly difficult to accurately evaluate real time performance. This research describes an evaluation method using an embedded architecture software emulator that models the Motorola M-CORE processor architecture. This emulator is used to evaluate and compare the real-time performance of a public-domain experimental Real-Time Operating System (RTOS) against a bare-bones multi-rate task scheduler. The results of the experiment, as shown in arrival time JITTER, response-time DELAY, and CPU BREAKDOWN figures, show the trade-offs between job load, job frequency, and kernel overhead. This research suggests full-system software emulation to be a valid method of evaluating embedded systems’ behavior and real-time performance.

Suggested Citation

  • Alok Kumar Awasthi, 2019. "Study of Data Mining Techniques and Its Types," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 5(3), pages 529-533, June.
    • Handle: RePEc:jbh:ijsrcs:v5:y2019:i3:id:hcseit1953167
    Note: Article URL: https://ijsrcseit.com/CSEIT1953167
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