An audit environment for outsourcing of frequent itemset mining
نویسندگان
چکیده
منابع مشابه
An Audit Environment for Outsourcing of Frequent Itemset Mining
Finding frequent itemsets is the most costly task in association rule mining. Outsourcing this task to a service provider brings several benefits to the data owner such as cost relief and a less commitment to storage and computational resources. Mining results, however, can be corrupted if the service provider (i) is honest but makes mistakes in the mining process, or (ii) is lazy and reduces c...
متن کاملPrivacy Preserving Outsourcing for Frequent Itemset Mining
Cloud computing uses the paradigm of data mining-as-a-service. A company/store lacking in mining expertise can outsource its mining needs to a service provider (server). The item-set of the outsourced database are the private property of the data owner. To protect this corporate privacy, the data owner encrypts the data and sends to the server. Based on the mining queries sent from client side,...
متن کاملIntegrity Verification for Outsourcing Uncertain Frequent Itemset Mining
In recent years, due to the wide applications of uncertain data (e.g., noisy data), uncertain frequent itemsets (UFI) mining over uncertain databases has attracted much attention, which differs from the corresponding deterministic problem from the generalized definition and resolutions. As the most costly task in association rule mining process, it has been shown that outsourcing this task to a...
متن کاملImproving Direct Counting for Frequent Itemset Mining
During the last ten years, many algorithms have been proposed to mine frequent itemsets. In order to fairly evaluate their behavior, the IEEE/ICDM Workshop on Frequent Itemset Mining Implementations (FIMI’03) has been recently organized. According to its analysis, kDCI++ is a state-of-the-art algorithm. However, it can be observed from the FIMI’03 experiments that its efficient behavior does no...
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Data mining is a rapidly expanding field being applied in many disciplines, ranging from remote sensing to geographical information systems, computer cartography, environmental assessment and planning. Rule mining is a powerful technique used to discover interesting associations between attributes contained in a database (Han et al., 2006). Association rules can have one or several output attri...
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ژورنال
عنوان ژورنال: Proceedings of the VLDB Endowment
سال: 2009
ISSN: 2150-8097
DOI: 10.14778/1687627.1687758