Anour F. A. Dafa-Alla

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Issues about privacy-preserving data mining have emerged globally, but still the main problem is that non-sensitive information or unclassified data, one is able to infer sensitive information that is not supposed to be disclosed. This paper proposes an approach to PPDM based on an extended role based access control called privacy preserving data mining(More)
Internet has gained a lot of interest of customers. Maintaining good relations with customer is the major applications in web mining. The process of extracting useful information from web logs is called Web Usage Mining. This helps to improve the website performance by analyzing the user's interest and also adds profitability in business The main goal(More)
Nowadays due to the rapid advances in the field of information systems, transactional databases are being updated regularly and/or periodically. The knowledge discovered from these databases has to be maintained, and an incremental updating technique needs to be developed for maintaining the discovered association rules from these databases. The concept of(More)
Issues about privacy-preserving data mining have emerged globally, but still the main problem is that non-sensitive information or unclassified data, one is able to infer sensitive information that is not supposed to be disclosed. Based on our previous paper [1], we employ PRBAC for privacy preserving data publishing (PPDP). Using an extended role based(More)
Data mining applications over on-body sensor data have earned great attention in recent years. We propose a novel Online Multi-divisive Hierarchical Clustering Method on on-body sensor data. Our method evolves tree-like top down hierarchy cluster, which splits and agglomerates clusters as needed. Experimental results prove a competing quality for our method(More)
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