Fully supervised log anomaly detection methods suffer the heavy burden of annotating massive unlabeled data. Recently, many semi-supervised have been proposed to reduce annotation costs with help parsed templates. However, these consider each keyword independently, which disregards correlation between keywords and contextual relationships among sequences. In this paper, we propose a novel weakl...

We investigate the dynamic stochastic multicriteria decision making (SMCDM) problems, in which the criterion values take the form of log-normally distributed random variables, and the argument information is collected from different periods. We propose two new geometric aggregation operators, such as the log-normal distribution weighted geometric (LNDWG) operator and the dynamic log-normal dist...

The data systems, policies and procedures, corporate culture, and public face of an agency or institution make up its organizational interface. This case study describes how user interfaces for the Bureau of Labor Statistics website evolved over a five year period along with the larger organizational interface and how this co-evolution has influenced the institution itself. Interviews with BLS ...

Building on techniques recently introduced by the second author, and further developed first we show that a positive integer $N$ may be rigorously deterministically factored into primes in at most \[ O\left( \frac{N^{1/5} \log^{16/5} N}{(\log\log N)^{3/5}}\right) \] bit operations. This improves previous best known result factor of $(\log \log N)^{3/5}$.