A new sliding window based algorithm for frequent closed itemset mining over data streams

Nori, Fatemeh; Deypir, Mahmood; Hadi, Mohamad; Ziarati, Koorush

doi:10.1109/iccke.2011.6413359

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Social Structure Mining Using Sliding Window1

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2015

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“…These social data, according to [12], is generated daily and can be accumulated to PB or EB level. It is really difficult to dig useful information out within such big data.…”

Section: Social Structure Mining Using Sliding Windowmentioning

confidence: 99%

Mining Social Structure on Context Objects Database

Fu¹

2015

TOAUTOCJ

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The advance of computing, hardware and wireless communication technologies has put the new words-Internet of Things, Social Networks etc., into our daily life. Related areas such as Wireless Sensor Networks and Internet of Things have been changing our daily lives. Context awareness is the key to the success of prospective applications, such as location based services and social information delivery. This paper focuses on the hot topic of how to store and manage this context information efficiently. To support social information routing, this paper brought forward an unbalanced sliding window based social structure mining algorithm. We also developed new concept of Context Objects Database, COD, which stored and managed various context information and objects such as time, location, interaction and so on. The paper mainly discusses the unbalanced sliding window model, fundamental architecture of COD. We also discussed the application of the COD such as mining social structure using sliding window model. The simulation results show that the proposed method has better accuracy of social communities discovery and lower data amount processed.

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“…These social data, according to [12], is generated daily and can be accumulated to PB or EB level. It is really difficult to dig useful information out within such big data.…”

Section: Social Structure Mining Using Sliding Windowmentioning

confidence: 99%

Mining Social Structure on Context Objects Database

Fu¹

2015

TOAUTOCJ

View full text Add to dashboard Cite

show abstract

A new sliding window based algorithm for frequent closed itemset mining over data streams

Cited by 1 publication

References 21 publications

Mining Social Structure on Context Objects Database

Mining Social Structure on Context Objects Database

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