The local intrinsic dimensionality (LID) model enables assessment of the complexity of the local neighbourhood around a specific query object of interest. In this paper, we study variations in the LID of a query, with respect to different ...

Efficient approach to mine frequent closed itemsets and their lattice structure.We propose a new memory efficient dynamic superset bit-vector (DSBV) structure.New candidate pruning techniques are developed.DSBV establishes hierarchical subset-superset ...

Multilevel knowledge in transactional databases plays a significant role in our real-life market basket analysis. Many researchers have mined the hierarchical association rules and thus proposed various approaches. However, some of the existing ...

Location-based social networks grow at a remarkable pace. Current location-aware mobile devices enable us to access these networks from anywhere and to connect to friends via social networks in a seamless manner. These networks allow people to interact ...

User privacy in location-based services has attracted great interest in the research community. We introduce a novel framework based on a decentralized architecture for privacy preserving group nearest neighbor queries. A group nearest neighbor (GNN) ...

We present a novel algorithm that safeguards the location privacy of users accessing location-based services via mobile devices. Our technique exploits the capability of mobile devices to form wireless ad-hoc networks in order to hide a user's identity ...