An Efficient Algorithm for Mining Top-K Closed Frequent Itemsets over Data Streams over Data Streams

TELKOMNIKA Indonesian Journal of Electrical Engineering ◽

10.11591/telkomnika.v11i7.2825 ◽

2013 ◽

Vol 11 (7) ◽

Author(s):

Mao Yimin ◽

Xue Xiaofang ◽

Chen Jinqing

Keyword(s):

Data Streams ◽

Efficient Algorithm ◽

Frequent Itemsets ◽

Closed Frequent Itemsets

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An Efficient Algorithm for Mining Closed Frequent Itemsets in Data Streams

2008 IEEE 8th International Conference on Computer and Information Technology Workshops ◽

10.1109/cit.2008.workshops.52 ◽

2008 ◽

Author(s):

Fujiang Ao ◽

Jing Du ◽

Yuejin Yan ◽

Baohong Liu ◽

Kedi Huang

Keyword(s):

Data Streams ◽

Efficient Algorithm ◽

Frequent Itemsets ◽

Closed Frequent Itemsets

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Approximate mining of global closed frequent itemsets over data streams

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2011.04.006 ◽

2011 ◽

Vol 348 (6) ◽

pp. 1052-1081 ◽

Author(s):

Lichao Guo ◽

Hongye Su ◽

Yu Qu

Keyword(s):

Data Streams ◽

Frequent Itemsets ◽

Closed Frequent Itemsets

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An Efficient Subset-Lattice Algorithm for Mining Closed Frequent Itemsets in Data Streams

2012 Conference on Technologies and Applications of Artificial Intelligence ◽

10.1109/taai.2012.12 ◽

2012 ◽

Author(s):

Ye-In Chang ◽

Chia-En Li ◽

Wei-Hau Peng

Keyword(s):

Data Streams ◽

Frequent Itemsets ◽

Closed Frequent Itemsets ◽

Lattice Algorithm

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UDS-FIM: An Efficient Algorithm of Frequent Itemsets Mining over Uncertain Transaction Data Streams

Journal of Software ◽

10.4304/jsw.9.1.44-56 ◽

2014 ◽

Vol 9 (1) ◽

Author(s):

Le Wang ◽

Lin Feng ◽

Mingfei Wu

Keyword(s):

Data Streams ◽

Efficient Algorithm ◽

Frequent Itemsets ◽

Transaction Data ◽

Frequent Itemsets Mining

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Incremental updates of closed frequent itemsets over continuous data streams

Expert Systems with Applications ◽

10.1016/j.eswa.2007.12.054 ◽

2009 ◽

Vol 36 (2) ◽

pp. 2451-2458 ◽

Author(s):

Hua-Fu Li ◽

Chin-Chuan Ho ◽

Suh-Yin Lee

Keyword(s):

Data Streams ◽

Frequent Itemsets ◽

Continuous Data ◽

Closed Frequent Itemsets

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Continuous Prediction of Closed Frequent Itemsets from High speed Distributed Data Streams using Parallel Mining on Manifold Windows with Varying Size

International Journal of Computer Applications ◽

10.5120/17662-8479 ◽

2014 ◽

Vol 101 (2) ◽

pp. 34-40

Author(s):

V. SiddaReddy ◽

T.V. Rao ◽

A.Govardhan A.Govardhan

Keyword(s):

Data Streams ◽

Frequent Itemsets ◽

Distributed Data ◽

Closed Frequent Itemsets ◽

Distributed Data Streams ◽

Parallel Mining

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A quick algorithm for incremental mining closed frequent itemsets over data streams

Proceedings of the Second ACM IKDD Conference on Data Sciences - CoDS '15 ◽

10.1145/2732587.2732611 ◽

2015 ◽

Author(s):

Shankar B. Naik ◽

Jyoti D. Pawar

Keyword(s):

Data Streams ◽

Frequent Itemsets ◽

Incremental Mining ◽

Closed Frequent Itemsets

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DSM-FI: an efficient algorithm for mining frequent itemsets in data streams

Knowledge and Information Systems ◽

10.1007/s10115-007-0112-4 ◽

2008 ◽

Vol 17 (1) ◽

pp. 79-97 ◽

Author(s):

Hua-Fu Li ◽

Man-Kwan Shan ◽

Suh-Yin Lee

Keyword(s):

Data Streams ◽

Efficient Algorithm ◽

Frequent Itemsets ◽

Mining Frequent Itemsets

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Closed frequent itemsets mining over data streams for visualizing network traffic

2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015] ◽

10.1109/iccpct.2015.7159438 ◽

2015 ◽

Author(s):

M. Jeyasutha ◽

F. Ramesh Dhanaseelan

Keyword(s):

Data Streams ◽

Network Traffic ◽

Frequent Itemsets ◽

Closed Frequent Itemsets ◽

Frequent Itemsets Mining

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Stream-Close: Fast Mining of Closed Frequent Itemsets in High Speed Data Streams

10.1109/icdmw.2008.51 ◽

2008 ◽

Author(s):

B.N. Ranganath ◽

M. Narasimha Murty

Keyword(s):

Data Streams ◽

Frequent Itemsets ◽

Closed Frequent Itemsets ◽

High Speed Data

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