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Background
We constructed a recency‐frequency (RF) model for predicting the loss to follow‐up (LTFU) in HIV/AIDS patients in China.
Methods
Data on HIV/AIDS outpatients in the research unit from 1 August 2009 to 30 September 2020 and from 1 October to 31 December 2020 were exported as the observation and prediction datasets, respectively. The classic recency‐frequency‐monetary (RFM) model was expanded...
Identification of human activities is a popular pattern recognition problem. In order to solve this problem, solutions based on machine learning are popularly used. Solutions based on the principle of collecting and processing classified data from one person are often used for non-real-time solutions. In this study, a system design is presented in which real time processing of the received acceleration...
The use of social media is increasing rapidly today. With this increase, there is a lot of meaningful and meaningless data in social media environments. Parallel to this data formation, new working areas have also been formed. Sentiment analysis is an important area of study for generating meaningful information from this large data set. The sentiment analysis study, objectively indicates whether...
The article studies the issue of identification of literary texts with artificial neural networks. We showed that artificial neural networks for solving the problem of classifying literary texts makes it possible to obtain a true result for determining the category of a text with a probability of 95%. However, determining the genre of a literary text is more difficult and in the worst case it is possible...
İn this study, we aim at gathering more scientific information about the musical data by using computer techology, and we are willing, to some extent, figure out the maqam structure of Traditional Turkish Art Music interpreted in the compositions. For this reason, 120 compositions from among Muhayyer Kurdi, Acem Kurdi and Kurdi makams in Traditional Turkish Art Music have been analysed and these compositions...
With the objective of empirically clarifying the musical culture phenomena by which music spreads and changes, this research quantitatively analyzes the musical characteristics and regional differences of folk songs from the Shikoku district (the southern region of Japan's largest island Honshu) as case studies. All the songs from the Shikoku district listed in the quantitatively and qualitatively...
The national panel for higher education is a big social impact event, one which mobilizes thousands of candidates. However, the heterogeneity of the Portuguese university and polytechnic infrastructure and the sheer dimension of the reality in study makes an eventual interpretation of the data obtained from that panel, and the official data only present generic and global information. This work will...
This paper presents CEFOP (Continual Evolution For Organisational Processes), a method for analysing, diagnosing and evolving the organisational processes. The dynamicity of the business environment requires from organisations to evolve their processes for maintaining their competitive advantage, but this can be time and cost consuming and cause great internal resistance. CEFOP method aims to limit...
Convolutional neural network extracts features from input data and classify them with end to end learning. In this paper we test the performance of the cooperation between texture features which undertakes effective role for SAR image classification and convolutional neural network. For this purpose we create local images for each pixel in the image taking into consideration neighbor pixels and pixel-based...
The prediction of the academic success of a student, the change of success according to causes and processes, and the examination of the consequences of this change are a general research topic that deals with many disciplines from different disciplines. Using the approach in this study, patterns of the subset of the data set were obtained by using methods of finding frequently repeated sub-graphs,...
Taking Shenzhen Dafen Oil Painting Village as an example, this paper researched on the effect of convergence between creative industry park and tourism. By using ROST Content Mining 6 software which analyzed based on network text, this paper constructed a conceptual model on the developed effect of urban cultural and creative tourism, and then views the development situation of cultural and creative...
The score in art exam, part of College entrance examination, is very useful and helpful. Thanks to the exam management system we got the data easily, and there are huge amount of data accumulated. We analyzed the data and visualize the data through Cluster Analysis and Correlation Analysis. And get the relationship between number of students and age, subject, position. Finally we visualize the analyzed...
High utility itemset mining provides more useful and realistic results than frequent pattern mining because of its ability to consider statistical correlation and semantic significance among the items. The state of art algorithms designed for mining high utility itemsets always consider the database as static. If they are used for dynamic databases for the same purpose, database is rescanned from...
The transformation of legacy MARC catalogs to FRBR catalogs (FRBRization) is a complex and important challenge for libraries. Although many FRBRization tools have provided experimental validation, it is difficult to evaluate and compare these systems on a fair basis due to a lack of common datasets. This poster presents two public datasets (T42 and BIB-RCAT) intended to support the validation of the...
The paper is first article to investigate the relationship between semihypergroups and rough sets based on binary relations. Firstly, we introduce the notion of smart semi-hypergroup, and point out that (1) the smart semihypergroup can be generated by the binary relation; (2) the upper and lower approximations of sets based on the relation approximation space can be defined by the smart hsemihypergroup...
The characteristics that non-destructive, wide spectral range, high spectral resolution, and image-spectrum merged make it possible to study colored relics based on hyperspectral imaging. As for mural, the spectral information contained in the hyperspectral image can be used to identify pigments, but the presented fuzzy pattern is hard to provide the intuitive visual effect; on the other hand, the...
This article aims at presenting and summarizing the main concepts of citizenship, digital citizenship and digital inclusion, within the concept of citizenship construction. The methodological approach is essentially explicative, bibliographical and documental. We begin with a state-of-the art of the topic, which is necessary to prepare the well-documented empirical investigation that will be carried...
The identification of academic attributes that allow improving student achievement is of fundamental importance in the teaching learning process. In the current study we present a methodology to recognize the attributes of educational success based Pareto distribution and data mining algorithms that authorize the identification of which attributes most important to child's educational performance...
Face-to-face proximity has been successfully leveraged to study the relationships between individuals in various contexts, from a working place, to a conference, a museum, a fair, and a date. We spend time facing the individuals with whom we chat, discuss, work, and play. However, face-to-face proximity is not the realm of solely person-to-person relationships, but it can be used as a proxy to study...
In this paper a high capacity data hiding technique based on hybrid edge detection and even-odd pixel separation is proposed. The even-odd sub planes of Red, Green and Blue of the cover image are extracted then Blue and Green channel sub planes are utilized for hiding the secret data while Red channel sub planes are used to hold the status (edge or non-edge) of the pixels of Green and Blue channel...
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