Study of Data Mining Techniques and Its Types

Authors

  • Alok Kumar Awasthi  Department of Computer Science and Engineering, Saraswati Higher Education and Technical College of Engineering, Varanasi, Uttar Pradesh, India

Keywords:

Data Mining, Classification, Clustering, Decision Tree, Associative Rule

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.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-06-30

Issue

Volume 5, Issue 3, May-June-2019

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Alok Kumar Awasthi, " Study of Data Mining Techniques and Its Types, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 3, pp.529-533, May-June-2019.