Distributed Processing of Probabilistic Top-k Queries in Wireless Sensor Networks

Distributed Processing of Probabilistic Top-k Queries in Wireless Sensor Networks ABSTRACT: In this paper, we introduce the notion of sufficient set and necessary set for distributed processing of probabilistic top-k queries in cluster-based wireless sensor networks. These two concepts have very nice properties that can facilitate localized data pruning in clusters. Accordingly, we develop a […]


Anomaly Detection via Online Over-Sampling Principal Component Analysis

Anomaly Detection via Online Over-Sampling Principal Component Analysis ABSTRACT: Anomaly detection has been an important research topic in data mining and machine learning. Many real-world applications such as intrusion or credit card fraud detection require an effective and efficient framework to identify deviated data instances. However, most anomaly detection methods are typically implemented in batch […]