This paper presents an Associative Relational Mobile Transaction Sequential Pattern Mining (ARM-TSPM) to extract the hidden information in location based service environment. Major problem in the cluster analysis is determining the cluster in unlabeled data. It is overcome by Dark Block Extraction (DBE) method to automatically determine the number of clusters but lacks in processing the full-se...

The key element of Digital Alias-free Signal Processing (DASP) technology is the application of nonuniform sampling. In this case majority of the conventional signal processing algorithms cannot be directly applied. For the implementation of DASP, a set of new approaches was developed. The paper discusses several approaches suitable for spectral analysis of nonuniformly sampled signals. These i...

Feature Extraction is significant for determining security vulnerabilities in software. Mining closed sequential patterns provides complete and condensed information for non-redundant frequent sequences generation. In this paper, we discuss the feature interaction problem and propose an efficient algorithm to extract features in vulnerability sequences. Each closed sequential pattern represents...

In this paper we present dRAP-Independent, an algorithm for independent distributed mining of first-order frequent patterns. This system is based on RAP, an algorithm for finding maximal frequent patterns in first-order logic. dRAPIndependent utilizes a modified data partitioning schema introduced by Savasere et al. and offers good performance and low communication overhead. We analyze the perf...

This paper describes a restriction on pointer usage in C language for parallelism extraction by an automatic parallelizing compiler. By rewriting programs to satisfy the restriction, automatic parallelization using flow-sensitive, context-sensitive pointer analysis on an 8 cores SMP server achieved 3.80 times speedup for SPEC2000 art, 6.17 times speedup for SPEC2006 lbm and 5.14 times speedup f...

The recurrent neural network capable to provide the Boolean factor analysis of the binary data sets of high dimension and complexity is applied to discovery of voting patterns in the Russian parliament. The new method of sequential factor extraction based on the Lyapunov function is discussed in deep. Efficiency of the new method is shown on simulated data and on real data from Russian parliame...

The research presented in this article assessed geochemical factors relating to dust produced during primary lead smelting. Bulk dust samples and size-selective airborne dust samples were collected from four areas of a primary lead smelter and analyzed by X-ray diffraction and sequential chemical extraction. X-ray diffraction showed that the smelter dusts were composed primarily of sulfides, ox...

Iron-bearing phyllosilicates strongly influence the redox state and mobility of uranium because of their limited hydraulic conductivity, high specific surface area, and redox reactivity. Standard extraction procedures cannot be accurately applied for the determination of clay-Fe(II/III) and U(IV/VI) in clay mineral-U suspensions such that advanced spectroscopic techniques are required. Instead,...