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Classification models have proven useful for predicting clinical interventions and patient outcomes. One of the key issues that affect the predictive ability of supervised learning frameworks in the healthcare scenario is imbalance in data sets. In addition, non-uniform data collection processes in clinical scenarios lead to poor quality data sets. We designed a novel approach to predict Intensive...
Article is dedicated to problem of creating the geometric database of products, that required for integration CAD and PDM technologies applicable in product lifecycle management process. As example are considered agricultural machinery tools' geometric data. Cite the forms of geometric data those applying in this process and structural analysis of the cluster system's connections of the components...
The number of software vulnerabilities discovered and publicly disclosed is increasing every year; however, only a small fraction of them is exploited in real-world attacks. With limitations on time and skilled resources, organizations often look at ways to identify threatened vulnerabilities for patch prioritization. In this paper, we present an exploit prediction model that predicts whether a vulnerability...
Many scientific experiments in Bioinformatics are executed as computational workflows. Frequently, it is necessary to re-run an experiment under the original circumstances in which it was run to recognize and validate it. Data provenance concerns the origin of data. Knowing the data source facilitates the understanding and analysis of the results, by detailing and documenting the history and the paths...
Drug development using plant sources is an important and fast evolving area. Plants contain valuable phytochemicals that possess a wide variety of curative functions including antibacterial, antifungal, anti-carcinogenic, enzyme stimulating, and many more. The growing prevalence of chronic diseases and rising health care costs have renewed the interests of many researchers to collect, store and retrieve...
The aim of this paper is to introduce a semantic methodology using ontology in order to improve results of data mining in judicial decisions database. An intelligent and automatic method to search for sentences in lawsuits related to the one in trial is presented. A judicial ontology is built with and without rules from experts. The method can provide judiciary celerity, seeking to solve the yearning...
In this paper, we present a novel model and visualization approach for heterogeneous sources of data. We represent our data by using a model inspired by STIX. Then, we use clustering algorithms to select interesting information to explore in a visualization panel. The visualization is based on a 3D graph representation that highlights the link between malicious event and allows to focus on relevant...
Despite the fact that infant mortality rates have been decreased in recent years, this issue stills being considered alarming to Brazilian health system indicators. In this context, the GISSA framework, an intelligent governance framework for Brazilian health system, emerges as a smart system for the Federal Government program, called Stork Network. Its main objective is to improve the healthcare...
Data stored in the database mostly represent current valid state. Nowadays, complex information systems require data evolution management, state monitoring over the time. Temporal definition has been proposed, which is, however, still based on conventional paradigm. Therefore, non-current values are difficult to obtain, manage and evaluate. In this paper, several temporal evolution streams are proposed...
With the development of algorithms and computer skills, deep learning using CNN (convolutional neural network) has been applied to various fields, especially in image processing field. In this paper, we designed an improved model based on ResNet with CNN structure, and learned the database. The Chaucer Database used in the experiment consisted of 824 Chinese characters among the Chinese characters...
In this paper, a text independent speaker recognition system based on Gaussian mixture models (GMM) was developed with a specific focus on the use of a voice activated detector (VAD) algorithm in the training and testing. At the training level, a modified estimation/maximization (EM) algorithm is used. It is less prone to get trapped around a local maximum and so, it will have more chance to converge...
In the last 20 years the term of Big Data took strength which refers to datasets that in size exceed the ability of typical database tools to capture store manage and analyze. Big Data visual analysis is a new field that is emerging as a powerful tool for extracting useful information. This paper discusses the revision of 83 articles on visualization techniques for Big Data of the last six years for...
To effectively reuse existing NC machining process of similar part and feature, an effective data mining approach of existing CAM models in machining process data is proposed. First, a machining feature based multilevel structured CAM model is proposed to reveal the relations between machining features and machining operations. Then, the structured machining know-how database is automatically generated...
E-recruitment sites such as LinkedIn, Reed, and Indeed have a huge number of professional resumes from job seekers and job openings posted by recruiters. In this situation, it is a very time-consuming task for job seekers to find job openings that are well matched to their careers and desired conditions. Accordingly, active studies on job recommendation (JR) have been conducted recently. In this paper,...
Indoor localization is vital for location based services as well as security purposes. Wireless local area network (WLAN) positioning systems based on fingerprints of received signal strength (RSS) measured from access points, can be used for localization. Due to the effectiveness of fingerprinting in indoor positioning, fingerprinting network designers try to lower the cost of using this technique...
The iKaaS platform has been developed as a Horizon 2020 project to construct a multi-cloud environment in order to share data and knowledge. In this paper, we add a framework for knowledge sharing/reuse in the iKaaS platform. Furthermore, we design a revenue-sharing mechanism for knowledge sharing, which uses a blockchain for registration and use of data processing services.
Interactive Electrical Technical Manual relates to weapon equipment's core data. Guarantee Interactive Electrical Technical Manual data security has significant stratagem. According to its use, management and security requirements, this paper analyses data characteristic of Interactive Electrical Technical Manual and puts forward equipment structure based Interactive Electrical Technical Manual data...
Modelling of a database performance depending on numerous factors is the first step towards its optimization. The linear regression model with optional parameters was created. Regression equation coefficients are optimized with the Flower Pollination metaheuristic algorithm. The algorithm is executed with numerous possible execution parameter combinations and results are discussed. Potential obstacles...
The paper proposes a methodology for the development of a marketing decision support system using Big Data technology and data mining techniques. The approach was inspired by the CRISP-DM methodology, which is not oriented towards Big Data projects. Therefore, we have modified this methodology with respect to the purpose and technological requirements of the project. The proposed methodology was tested...
The research discusses the issue how to describe data quality and what should be taken into account when developing an universal data quality management solution. The proposed approach is to create quality specifications for each kind of data objects and to make them executable. The specification can be executed step-by-step according to business process descriptions, ensuring the gradual accumulation...
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