1 |
N. &. H. W. Jothi, Data mining in healthcare-a review, vol. 72, Procedia computer science, 2015, pp. 306-301.
DOI
|
2 |
N. M. A. M. &. M. H. Alotaibi, "Agent-based big Data mining," International Journal of Advanced Trends in Computer Science and Engineering, vol. 8, no. 1.1, 2019.
|
3 |
M. &. B. A. Dukitha, A Comparative Study of Intelligent Agent Techniques for Distributed Data Databases, EasyChair, 2019.
|
4 |
A. &. R. E. Raja, "MADPARM: Mobile Agent based Distributed and Parallel Association Rule Mining," International Journal of Engineering Trends and Technology, vol. 49(6), 2017.
|
5 |
R. &. M. L. J. Hemamalini, "n analysis on multi-agent based distributed data mining system," International Journal of Scientific and Research Publications, vol. 4, no. 6, pp. 1-6, 2014.
|
6 |
S. Aswanandini, "Survey of security in Multi-Agent System for Distributed Data Mining," International Journal of Innovative Computer cience & Engineering, vol. 4(3), 2017.
|
7 |
V. &. N. P. Devasekhar, Multi-Agent Distributed Data Mining Challenges And Research Directions, 2020.
|
8 |
S. Bosse, "Industrial Agents and Distributed Agent-based Learning," in Multidisciplinary Digital Publishing institute Proceedings, 2016.
|
9 |
S. Das, "Graph Explorations with Mobile Agents," in Distributed Computing by Mobile Entities, Cham, Springer, 2019, pp. 403422.
|
10 |
O. &. I. S. Urra, "Spatial crowdsourcing with mobile agents in vehicular network," in Vehicular Communications, vol. 17, 2019, pp. 10-34.
DOI
|
11 |
M. L. &. P. G. Griss, Accelerating development with agent components, vol. 34, Computer, 2001, pp. 37-43.
DOI
|
12 |
K. N. &. S. N., "A Naive Bayesian Classifier for Educational Qualification," Indian Journal of Science and Technology, vol. 8(16), 2015.
|
13 |
M. &. B. S. Ali, "Probabilistic normed load monitoring in large scale distributed system using mobile agent," in Future Generation Computer Systems, 2019, pp. 148-167.
|
14 |
M. J. Zaki, Parallel and distributed data mining: An introduction. In large-scale parallel data mining, berlin, heidelberg: Springer, 2000, pp. 1-23.
|
15 |
M. H. Dunham, Data mining: Introductory and advanced topics, India: Pearson Education India, 2006.
|
16 |
R. J. Roiger, Data Mining: A Tutorial-Based Primer, Second Edition, 2017.
|
17 |
P. N. S. M. &. K. V. Tan, Introduction to data mining, Pearson Education India, 2016.
|
18 |
A. A. V. P. K. S. Z. P. &. U. A. Ali, "Distributed data mining systems: techniques, approaches and algorithms," in MATEC Web of Conferences. EDP Sciences, 2018.
|
19 |
C. Sahai M. J. & Morin, "Mobile agent for enabling mobile user aware application," in Autonomous agents, 1998.
|
20 |
A. H. Nure, "Distributed data mining using multi-agent data," International Research Journal of Engineering and Technology, 2017.
|
21 |
D. B. Lange, "Mobile objects and mobile agents: The future of distributed computing?," in In European conference on objectoriented programming, Berlin, Heidelberg, 1998.
|
22 |
C. C. Aggarwal, Data mining: the textbook, Springer, 2015.
|
23 |
Q. R. N. S. B. J. I. S. S. V. V. K. Q. H. &. C. K. Wu, "On computing mobile agent routes for data fusion in distributed sensor networks," IEEE Transactions on Knowledge and Data Engineering, vol. 16, no. 6, pp. 740-753, 2004.
DOI
|
24 |
D. M. &. M. N. Khan, "The adaptability of conventional data mining algorithms through intelligent mobile agents in modern distributed systems," International Journal of Computer Science Issues, vol. 9, no. 1, p. 38, 2012.
|
25 |
S. &. E. U. Bosse, "Augmented virtual reality," in In Multidisciplinary Digital Publishing Institute Proceedings, 2018.
|
26 |
J. P. J. &. K. M. Han, Data mining: concepts and techniques, Elsevier, 2011.
|
27 |
A. Algarni, "Data mining in education," International Journal of Advanced Computer and Application, vol. 7, no. 6, pp. 456-461, 2016.
|
28 |
L. L. L. D. L. L. K. S. Z. W. M. .. &. L. P. Zeng, "Distributed data mining: a survey," in Information Technology and Management, vol. 13, 2012, pp. 403-409.
DOI
|
29 |
A. McCallum, "Bayesian Network Represention," in Graphical Models, 2019.
|
30 |
Y. Fu, "Distributed data mining: An overview," Newsletter of the IEEE Technical Committee on Distributed Processing, vol. 4, no. 3, pp. 5-9, 2001.
|
31 |
W. L. J. C. W. C. H. C. &. z. J. Gan, "Data mining in distributes enviromnet," in Data Mining and Knowledge Discovery, vol. 7(6), Springer, 2017.
|
32 |
M. R. Chikhale, "Study of Distributed Data Mining Algorithm anf Trends," ISOR Journal of Computer Engineering, pp. 2278-0661, 2016.
|
33 |
A. N. &. R. R. Moghadam, "Multi agent distributed mining approach for classifying meteorology data," International journal of environmental science and technology, vol. 15(1), pp. 149-158, 2018.
DOI
|
34 |
S. Das, Mobile agents in distributed computing: Network exploration, vol. 1, bulletin of EATCS, 2013, p. 109.
|
35 |
U. P. T. K. K. M. S. R. &. Y. A. R. Kulkarni, "Exploring the capabilities of mobile agents in distributed data mining," International Database Engineering and Applications Symposium, pp. 277-280, 2006.
|
36 |
S. G. Devi, "A survey on distributed data mining and its trends," International Journal of Research in Engineering & Technology, vol. 2, no. 3, pp. 107-120, 2014.
|
37 |
S. &. N. M. Urmela, "Approaches and Techniques of Distributed Data Mining," International Journal of Engineering and Technology, vol. 9(1), p. 69, 2017.
|
38 |
Y. t. S. G. G. R. B. &. r. P. P. Joshi, "Mobile Agent-Based Frequent Pattern Mining for Distributed Database," in Intelligent Computing and Information and Communication, Singapore, Springer, 2018, pp. 77-85.
|
39 |
N. &. T. G. Sneha, "Analysis of diabetes mellitus for early prediction using optimal features selection," in Journal of Big Data, 2019.
|
40 |
I. Satoh, Mobile agents. In Handbook of Ambient Intelligence and Smart Environments, Boston, MA: Springer, 2010, pp. 771791.
|