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The primary failure mechanism in brittle materials such as ceramics, granite and some metal alloys is through the presence of defects which result in crack formation and propagation under the application of load. We are interested in studying this process of crack propagation, interaction and coalescence, which degrades the strength of the specimen. Traditionally, engineering applications that study...
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...
The article focuses on the results of the research into scientific publications of the All-Russian Institute for Scientific and Technical Information of the Russian Academy of Sciences database (VINITI Database RAS) in different fields. The purpose of operation was to increase partition accuracy on the directions of large volumes of scientific data. This analysis was carried out on summaries of scientific...
While the data mining in education field gained more and more popularity in recent years, there have many research endeavors to find association rules in students' academic situation. The current methods normally apply traditional association rules mining technique to identify those rules. However, traditional association rules mining technique can not identify difference between different types of...
In recent years, data mining techniques has attracted the attention from educational researchers and applied in educational research pervasively. As a famous data mining method, traditional association rules mining tend to ignore the infrequent data item and can only analyze a single dataset. To address these issues, a contrast targeted rule mining model is introduced in this paper. A complete analysis...
Respiratory gating is a powerful tool for tackling motion-related issues in chest PET imaging. On current scanners the respiratory signal is obtained from external devices, whereas with Data-Driven methods it can be extracted directly from the data. The aim of this work is to show the increased potential of the application of Principal Component Analysis (PCA) on TOF data. We propose a methodology...
The evolution of web technology has caused huge amounts of data to be available on the internet, and especially in social networks. Data mining is used in helping to extract valuable information from large amounts of data. One problem of great interest in mining social networks is community detection which can be understood as the unsupervised discovery of densely connected subgroups within the network...
Dataspace is one of the emerging approaches for handling heterogeneous data sources. However, dataspaces differ from conventional data integration approaches. They are a set of best-effort services over heterogeneous data sources with pay-as-you-go integration approach. When dataspaces encounter unstructured data, indexing is the only way of answering queries on a best-effort basis. To the best of...
Surrounded by heterogeneous clinical data, medical staff needs to take easily the right decisions at the point of care in real time supported by medical evidence. Up to few years ago, evidence was not available at the point of care, making use of doctor's experience or heavy books. Nowadays, the challenge is to have such decision support systems available at any time, any place and any device. Interactive...
With the rapid increase of web usage, it is becoming very difficult to make web pages reach to every region. Especially web pages in foreign languages have fewer complexities when compared with Indian websites. This is because of variations observed in script in Indian context. The present study of this paper focuses on content in the input instead of other data mining and image processing techniques...
Given a large bipartite graph that represents objects and their properties, how can we automatically extract semantic information that provides an overview of the data and -- at the same time -- enables us to drill down to specific parts for an in-depth analysis? In this work, we propose extracting a taxonomy that models the relation between the properties via an is a hierarchy. The extracted taxonomy...
In this paper, we present the current work and future directions on spatiotemporal frequent pattern mining algorithms for mining solar data. The current spatiotemporal pattern mining algorithms focus on spatiotemporal co-occurrence patterns. We reveal four types of spatiotemporal concepts that can be mined from solar data: event sequences, periodicity, spatiotemporal convergence and propagation. Throughout...
This study analyses the factors affecting students' academic performance that contributes to the prediction of their failure and dropout using educational data mining. This paper suggests the use of various data mining techniques to identify the weak students who are likely to perform poorly in their academics. WEKA, an open source tool for data mining was used to evaluate the attributes predicting...
The mining of graphs in terms of their local substructureis a well-established methodology to analyze networks. It was hypothesized that motifs - sub graph patterns which appear significantly more often than expected at random - play a key role for the ability of a system to perform its task. Yet the framework commonly used for motif-detection averages over the local environments of all nodes. Therefore,...
This work introduces a novel nonparametric density index defined on graphs, the Sum-over-Forests (SoF) density index. It is based on a clear and intuitive idea: high-density regions in a graph are characterized by the fact that they contain a large amount of low-cost trees with high outdegrees while low-density regions contain few ones. Therefore, a Boltzmann probability distribution on the countable...
Transformative research refers to research that shifts or disrupts established scientific paradigms. Notable examples include the discovery of high-temperature superconductivity that disrupted the theory established 30 years ago. Identifying potential transformative research early and accurately is important for funding agencies to maximize the impact of their investments. It also helps scientists...
Patents and publications provide information on the relationships between players in different technologies, and can give a picture on the maturity and development of the technologies. This information can be visualized in sociograms where organisations are represented by nodes and edges signify collaborations between them. Such sociograms are useful for analysing players and collaborations within...
The normalized relative frequency ratio is used as the domain differential degree to estimate the domain feature of a string; the sequence correlation coefficient is used to judge the stability of a string. The identifying process takes two steps. 1??j Get term seeds. Extract adjacent character pairs from the domain corpus and the general corpus respectively. Then obtain term seeds by sifting the...
The properties found in complex networks (e.g., small-world, scale-free) have been used to characterize the behaviour of several processes such as epidemics or oscillators. We analyze the impact of such properties on the quality of a routing process. Using a Mixed Integer/Linear Program, the routing minimizes the number of ports installed in a previously designed network. Ports are network components...
In this paper we describe a faceted navigation system for QCDml ensemble XML data, which is an XML-based metadata format for ILDG (International Lattice Data Grid). A faceted navigation system allows a user to search for one's desired information in an exploratory way, thereby enabling the user to browse a set of XML data without using specialized query languages such as XPath and XQuery. However,...
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