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Your search keyword '"Kangavari, Mohammadreza"' showing total 9 results
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9 results on '"Kangavari, Mohammadreza"'

5. Auto-CES: An Automatic Pruning Method Through Clustering Ensemble Selection

Author

Maskouni, Mojtaba Amiri, Hosseini, Saeid, Abachi, Hadi Mohammadzadeh, Kangavari, Mohammadreza, Zhou, Xiaofang, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Wang, Junhu, editor, Cong, Gao, editor, Chen, Jinjun, editor, and Qi, Jianzhong, editor

Published
2018
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6. Statistical Discretization of Continuous Attributes Using Kolmogorov-Smirnov Test

Author

Abachi, Hadi Mohammadzadeh, Hosseini, Saeid, Maskouni, Mojtaba Amiri, Kangavari, Mohammadreza, Cheung, Ngai-Man, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Wang, Junhu, editor, Cong, Gao, editor, Chen, Jinjun, editor, and Qi, Jianzhong, editor

Published
2018
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9. DISTRIBUTED FREQUENT ITEM SETS MINING OVER P2P NETWORKS.

Author

FARZANYAR, Zahra and KANGAVARI, Mohammadreza

Subjects
DATA mining, PEER-to-peer architecture (Computer networks), ONLINE social networks, COMPUTER file sharing, SYNCHRONIZATION
Abstract

Data intensive peer-to-peer (P2P) networks are becoming increasingly popular in applications like social networking, file sharing networks, etc. Data mining in such P2P environments is the new generation of advanced P2P applications. Unfortunately, most of the existing data mining algorithms do not fit well in such environments since they require data that can be accessed in its entirety. It also is not easy due to the requirements of online transactional data streams. In this paper, we have developed a local algorithm for tracing frequent item sets over a P2P network. The performance of the proposed algorithm is comparatively tested and analyzed through a series of experiments. [ABSTRACT FROM AUTHOR]

Published
2015

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