Association rules for supporting hoarding in mobile computingenvironments

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Author

Y. Saygin, O. Ulusoy, A.K. Elmagarmid

Entry type

proceedings

Abstract

One of the features that a mobile computer should provide is disconnected operation which is performed by hoarding. The process of hoarding can be described as loading the data items needed in the future to the client cache prior to disconnection. Automated hoarding is the process of predicting the hoard set without any user intervention. We describe an application independent and generic technique for determining what should be hoarded prior to disconnection. Our method utilizes association rules that are extracted by data mining techniques for determining the set of items that should be hoarded to a mobile computer prior to disconnection. The proposed method was implemented and tested on synthetic data to estimate its effectiveness. Performance experiments determined that the proposed rule-based methods are effective in improving the system performance in terms of the cache hit ratio of mobile clients especially for small cache sizes

Date

2000

URL

http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=836502

Booktitle

Research Issues in Data Engineering, 2000. RIDE 2000. Proceedings. Tenth International Workshop on

Key alpha

Elmagarmid

Pages

71-78

Affiliation

Purdue University

Publication Date

2000-00-00

Isbn

0-7695-0531-7

BibTex-formatted data

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@Proceedings{ Elmagarmid,
	title = "Association rules for supporting hoarding in mobile computingenvironments",
	author = "Y. Saygin, O. Ulusoy, A.K. Elmagarmid",
	year = "2000",
	booktitle = "Research Issues in Data Engineering, 2000. RIDE 2000. Proceedings. Tenth International Workshop on",
	pages = "71-78",
	abstract = "One of the features that a mobile computer should provide is disconnected operation which is performed by hoarding. The process of hoarding can be described as loading the data items needed in the future to the client cache prior to disconnection. Automated hoarding is the process of predicting the hoard set without any user intervention. We describe an application independent and generic technique for determining what should be hoarded prior to disconnection. Our method utilizes association rules that are extracted by data mining techniques for determining the set of items that should be hoarded to a mobile computer prior to disconnection. The proposed method was implemented and tested on synthetic data to estimate its effectiveness. Performance experiments determined that the proposed rule-based methods are effective in improving the system performance in terms of the cache hit ratio of mobile clients especially for small cache sizes",
	affiliation = "Purdue University",
	isbn = "0-7695-0531-7",
	url = "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=836502",
}