In this paper, we consider the problem of mutual privacy protection in social participatory
sensing in which individuals contribute their private information to build a (virtual) …

Clustering is a popular unsupervised machine learning technique that groups similar input
elements into clusters. It is used in many areas ranging from business analysis to health …

Clustering is an unsupervised machine learning technique that outputs clusters containing
similar data items. In this work, we investigate privacy-preserving density-based clustering …

This book introduces the basic concepts of fuzzy collaborative forecasting and clustering,
including its methodology, system architecture, and applications. It demonstrates how …

Recent advances in sensing and storing technologies have led to big data age where a
huge amount of data are distributed across sites to be stored and analysed. Indeed, cluster …

Neural network systems are highly capable of deriving knowledge from complex data, and
they are used to extract patterns and trends which are otherwise hidden in many …

Electrical load profiling supports retailers in identifying consumer categories for customizing
tariff design. However, each retailer only has access to the data of the customers it serves …

In many industrial Internet of Things application schemes, participants, such as IoT devices,
often share information with each others for analysis and categorization purpose. Through …

The clustering is an exploratory task of data mining. This raised a real problem of privacy
when the data are from different sources. Most of researches on privacy preservation in …

Cluster analysis is one of the most significant unsupervised machine learning methods, and
it is being utilized in various fields associated with privacy issues including bioinformatics …