We introduce a new technique that permits servers to harvest selected Internet browsing history from visiting clients. Privacy-Preserving History Mining (PPHM) requires no installation of special-purpose client-side executables. Paradoxically, it exploits a feature in most browsers (IE, Firefox and Safari) regarded for years as a privacy vulnerability. PPHM enables privacy-preserving data-minin...

The previous research in mining association rules pays no attention to finding rules from imprecise data, and the traditional data mining cannot solve the multi-policy-making problem. Furthermore, in this research, we incorporate association rules with rough sets and promote a new point of view in applications. The new approach can be applied for finding association rules, which has the ability...

For lack of resources for IP address and the Network attack become diversity, the NAT technology is used for address extension. So, the requirement of Network security is improved. This paper mainly research on the security policy of NAT, and proposes Intrusion Redirect, protection of the Network effectively. Base on Apriori mining, proposes Interest association rules for the IDS Intrusion log ...

Many organizations use business policies to govern their business processes. For complex business processes, this results in huge amount of policy documents. Given the large volume of policies, manually analyzing policy documents to discover process information imposes excessive cognitive load. In order to provide a solution to this problem, we have proposed previously a novel approach named Po...

This chapter presents four applications of data mining in social security. The first is an application of decision tree and association rules to find the demographic patterns of customers. Sequence mining is used in the second application to find activity sequence patterns related to debt occurrence. In the third application, combined association rules are mined from heterogeneous data sources ...

this paper presents a data envelopment analysis (dea) model combined with bootstrapping to assess performance of one of the data mining algorithms. we applied a two-step process for performance productivity analysis of insurance branches within a case study. first, using a dea model, the study analyzes the productivity of eighteen decision-making units (dmus). using a malmquist index, dea deter...