We present a dictionary attack that is based on keyboard acoustic emanations. We combine signal processing and efficient data structures and algorithms, to successfully reconstruc...
Given its importance, the problem of predicting rare classes in large-scale multi-labeled data sets has attracted great attentions in the literature. However, the rare-class probl...
Focus+context visualization techniques aim to give users integrated visual access to both details and overview of a data set. This paper gives a systematic account of such visuali...
: Temporal data mining is concerned with the analysis of temporal data and finding temporal patterns, regularities, trends, clusters in sets of temporal data. Wavelet transform pro...
Abstract. When seeking for small clusters it is very intricate to distinguish between incidental agglomeration of noisy points and true local patterns. We present the PAMALOC algor...