A Hierarchy-Based Method for Synthesizing Frequent Itemsets Extracted from Temporal Windows

We then study the random length and transversal de- viation of the shortest paths between two nodes in the network, denoted x and y, conditioned to lie at mutual Euclidean separation

Given a sample of binary random vectors with i.i.d. 1 − p), we first establish a formula for the mean of the size of the random Galois lattice built from this sample, and a more

In the rest of this section, we discuss our experimental results with respect to three main axes: borders distribution of frequent itemsets, stability of borders distribution

In the next section, we describe the interface through two use cases: a student using the tool to attend a distant lecture in real time, and a teacher giving the lecture to

The paper estab- lishes a surprisingly simple characterization of Palm distributions for such a process: The reduced n-point Palm distribution is for any n ≥ 1 itself a log Gaussian

Test parameters included the spacing of steel studs; the number of stud rows (i.e., single- versus double-stud walls); the number of gypsum board layers (i.e., one versus two layers

In particular, the algo- rithm is composed by three di↵erent phases: (1) the data pre-processing step with the generation of two transactional databases (transactions of items, as

In this paper, we present an ongoing work to discover maximal frequent itemsets in a transactional database. We propose an algorithm called ABS for Adaptive Borders Search, which is