Detecting anomalies is an important challenge for intrusion detection and fault diagnosis in wireless sensor networks (WSNs). To address the problem of outlier detection in wireless sensor networks, in this paper we present a PCA-based centralized approach and a DPCA-based distributed energy-efficient approach for detecting outliers in sensed data in a WSN. The outliers in sensed data can be ca...

Energy constraint is the biggest challenge in wireless sensor networks because the power supply of each sensor node is a battery that is not rechargeable or replaceable due to the applications of these networks. One of the successful methods for saving energy in these networks is clustering. It has caused that cluster-based routing algorithms are successful routing algorithm for these networks....

Electrical load profiling supports retailers in identifying consumer categories for customizing tariff design. However, each retailer only has access to the data of customers it serves. Centralized joint clustering on retailers' union dataset either enables identification more types users that allows design customized retail plans, or informs whether already a sufficiently broad customer base. ...

Distributed Data Mining (DDM) is vital in various applications for processing large volumes of data. The datasets are saved the local databases and operated by communities, but it provides solution locally globally. However, stored a distributed manner which affects scalability reliability issues. In addition, data influenced security privacy challenges. third party may access DDM, causes autho...

The last decades have seen a surge of interests in distributed computing thanks to advances clustered and big data technology. Existing algorithms typically assume {\it all the are already one place}, divide conquer on multiple machines. However, it is increasingly often that located at number sites, wishes compute over with low communication overhead. For spectral clustering, we propose novel ...