Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...
Abstract—Continuously reducing transistor sizes and aggressive low power operating modes employed by modern architectures tend to increase transient error rates. Concurrently, mu...
Isil Oz, Haluk Rahmi Topcuoglu, Mahmut T. Kandemir...
Scientific visualization has emerged as an important tool for extracting meaning from the large volumes of data produced by scientific instruments and simulations. Increasingly, t...
Ian T. Foster, Joseph A. Insley, Gregor von Laszew...
The current sensor networks are assumed to be designed for specific applications, having strongly coupled data communication protocols. The future sensor networks are envisioned a...
In this paper we introduce a framework for privacypreserving distributed computation that is practical for many real-world applications. The framework is called Peers for Privacy ...
Yitao Duan, NetEase Youdao, John Canny, Justin Z. ...