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Determining threshold values of key economic security indices describing an economic situation in any country is an important stage in the assessment of the country's economic stability. Threshold values must be periodically reevaluated due to their continuous deterioration as far as the global economic environment is undergoing changes. The authors offer a rough estimate method for achieving this...
For the multi-index decision problem with uncertain information, this paper introduces the definition of interval distance of three-parameter interval grey number, proposes the relative degree of grey incidence based on interval distance of three-parameter interval grey number, constructs the grey incidence decision-making model with three-parameter interval grey number, measures the relative degree...
The ability to discover patterns of interest in criminal networks can support and ease the investigation tasks by security and law enforcement agencies. By considering criminal networks as a special case of social networks, we can properly reuse most of the state-of-the-art techniques to discover patterns of interests, i.e., hidden and potential links. Nevertheless, in time-sensible scenarios, like...
In order to prevent the body from any diseases and to protect human health, this study calculated the pathological index or meteorological pathology state (MPS) by using the weather factors such as air average temperature, average wind speed, average relative humidity and air pressure every day between 2009 and 2015 in Ulaanbaatar at the Information and Research Institute of Meteorology, Hydrology...
Current methods that use hyperspectral remote sensing imagery in the detection and extraction of marine oil spills are quite popular. Because the mixed pixels exist broadly in the hyperspectral images, the automatic and accurate end member extraction technology plays most essential role in the hyperspectral unmixing. This paper proposed a data field-spectral preprocessing module prior to end member...
Active detection technology was widely used in the traditional tampering detection. Firstly, those mainstream technologies of active detection were introduced. Then, some necessary improvements for the tampering detection algorithm were proposed in this paper, for example, the steganography information was cross-embedded to enhance the safety of the images, and the chaos function was simplified to...
Monitoring the soil moisture level of crop fields is one of the most important things to do for having an optimal crop yield. In this paper we investigate the capabilities of Sentinel-1 to soil moisture states. Aspects of modeling the map of soil moisture by the radar scene from Sentinel-1 on the example of a territory having undergone intensive precipitation have been considered. Representations...
Several classes of endmember (EM) extraction algorithms based on the pure pixel assumption exist. Most of these algorithms employ some geometrical interpretation of the spectral mixing process, and use orthogonal projections, random projections, or some combination of them. Random projection based algorithms, such as pixel purity index, often find clusters of EM candidates which show high correlation,...
Built-up area has been one of the most important objects to be extracted in remote sensing images. Several factors such as complex structure, diverse texture and varied background, bring the challenges for the task of built-up area extraction. In this paper, a multiple input structure of deep convolution neural network (CNN) is proposed to extract built-up area automatically, which can fuse the information...
Higher Education Institutions store a sizable amount of data, including student records and the structure of a degree curriculum. This paper focuses on the problem of identifying how closely students follow the recommended order of the courses in a degree curriculum, and to what extent their performance is affected by the order they actually adopt. It addresses this problem by applying techniques...
A rapid development of E-Commerce platforms has allowed retailers to introduce online product recommendations to persuade consumers purchase decisions. Recommendations system in E-Commerce can be implemented through development of opinion review or feedback system. The visibility of opinion review as a persuasive communication tool in recommendation context has been proven as an important role in...
This paper introduces an approach to outlier mining in the context of rule-based knowledge bases. Rules in knowledge bases are a very specific type of data representation and it is necessary to analyze them carefully, especially when they differ from each other. The goal of the paper is to analyze the influence of using different similarity measures and clustering methods on the number of outliers...
Different data mining techniques are employed in stylometry domain for performing authorship attribution tasks. Sometimes to improve the decision system the discretization of input data can be applied. In many cases such approach allows to obtain better classification results. On the other hand, there were situations in which discretization decreased overall performance of the system. Therefore, the...
Learning Management System, such as Moodle, has been utilized extensively as part of e-learning implementation for higher institutions. The flexibility of LMS to convey the learning materials in many ways and approaches enable the instructor to implement blended learning. The student's interaction and activities while learning are captured by Moodle in the log data file and are useful to identify...
In the paper the problems of modeling and investigating the behavior of complex socio-economic systems are considered. Authors are deeply concerned about decision-making support issues in the case of evaluation for such complex socio-economic systems. To solve these problems, the totality of the development goals of the object and the priorities of these goals are determined, then the indicators are...
API documentation is useful for developers to better understand how tocorrectly use the libraries. However, not all libraries provide gooddocumentation on API usages. To provide better documentation, existingtechniques have been proposed including program analysis-based anddata mining-based approaches. In this work, instead of mining, we aimto generate behavioral exception documentation for any given...
Quality analysis and prediction has been of great significance to ensure consistent and high product quality for chemical engineering processes. However, cumulative quality effect which is of typical nature for batch processes has rarely been analyzed by previous methods. With time development, the process variation will determine the final product quality in a cumulative manner. In this paper, considering...
As multi-dimensional text data are being generated at dazzling rate, topic modelling has become an important instrument for learning from large unstructured document sets. To focus on specific subsets of large document corpora, a user may specify various criteria to identify documents of interest before extracting topics from the documents. In this paper, we aim to accelerate the computation of topic...
Given an input tensor, its CANDECOMP/PARAFAC decomposition (or CPD) is a low-rank representation. CPDs are of particular interest in data analysis and mining, especially when the data tensor is sparse and of higher order (dimension). This paper focuses on the central bottleneck of a CPD algorithm, which is evaluating a sequence of matricized tensor times Khatri-Rao products (MTTKRPs). To speed up...
Software developers often need to repeat similar modifications in multiple different locations of a system's source code. These repeated similar modifications, or systematic edits, can be both tedious and error-prone to perform manually. While there are tools that can be used to assist in automating systematic edits, it is not straightforward to find out where the occurrences of a systematic edit...
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