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Learning Analytics focuses on improving learning process by studying and analyzing data produced during the process itself. It covers the collection, measurement, analysis, reporting and knowledge discovering on data about students, teachers and institutions. Learning Analytics has been widely developed in Anglo Saxon countries. USA, United Kingdom, Canada and Australia are amongst the main contributors...
Spectral clustering is one of the most effective methods of data mining, in which the adjacency matrix is constructed by using the similarity matrix. In this paper, to extend spectral clustering method for uncertain data clustering, we propose a new spectral clustering method based on JS-divergence. In the proposed method, the JS-divergence is used to construct the adjacency matrix in the spectral...
Multi view technology is a hot spot in research of the current display, multiple viewpoints of freedom stereo display technology not only can let the viewer's feel lifelike three-dimensional effect, still can make the viewer from wearing the aid equipment trouble, which makes more and more colleges and universities, research institutes and companies engaged in multiple viewpoints freedom stereo display...
We propose a reversible data hiding method for embedding secret data in a scaled-up image of a cover image, where the scaled-up image is computed using maximum and minimum filters to achieve higher payload than that of conventional methods based on neighbor mean interpolation. Experimental results show that the proposed method outperforms conventional methods in both data-hiding capacity and image...
Many of today's machine learning (ML) systems are composed by an array of primitive learning modules (PLMs). The heavy use of PLMs significantly simplifies and expedites the system development cycles. However, as most PLMs are contributed and maintained by third parties, their lack of standardization or regulation entails profound security implications. In this paper, for the first time, we demonstrate...
Process mining techniques have been applied to the visualization, interpretation, and analysis of medical processes. However, only a very limited amount of process data necessary for these analyses is publicly available, especially in the medical field because of patients' privacy. This limits novel medical process research to using insufficiently large or randomly-generated synthetic datasets. Our...
Off-label drug use refers to prescribing marketed medications for the indications that are not included in their FDA-approved labeling information. Off-label drug use is quite common in clinical practice and inevitable to some extent. Considering the increasing discussions in online health communities (OHCs) among the health consumers, we proposed to harness the large volume of timely information...
Sentiment analysis (SA) is a process done computationally for detecting opinion as well as determining their polarity. Context dependent opinion words remains as a challenge for SA since their polarity changes according to the context in which they are used. This work proposes a new approach for solving this problem using (aspect, opinion) pairs and logistic regression (LR) model. Syntactic rules...
There is a plenty of unorganized data available in various information repositories and examining this data is very necessary for some future analysis. Clustering this kind of data plays a vital role in knowing about formerly unknown and possibly useful data and also the concerns should be widely examined. Here, we are proposing a high level methodology for clustering the data. First of all the proposed...
Configuration management tools, CMTs for short, are a set of indispensable software for DevOps (Development and Operations). CMTs automate system deployment and configuration through CMT modules, which are reusable, shareable units of configuration code. Therefore, thousands of CMT modules have been developed for various systems, and are still growing fast. Although CMT repositories usually provide...
Identify the serious games that best meet the needs and expectations of teachers and pedagogical objectives of their courses remains a necessity about the integration of serious games in the learning process. Indeed, several serious games have developed in recent years, and it is often difficult for a teacher, not a computer scientist in particular, to find and choose a game that meets its specific...
Clinical summarization means the collection and synthesis of a patient's significant data, undertaken in order to support health-care providers in the process of patient care. Considering that medical information comes from multiple sources, a system for the automatic generation of problem lists could prove to be very effective in terms of saving time in the analysis of large amounts of medical data...
To discover teaching knowledge efficiently, we must extract the various teaching activities from educational data. In this paper, through the use of e-book logs and techniques of time-series analysis, we describe a method of practicing teaching analytics in face-to-face classes, one which enable us to extract the teaching activity efficiently and accurately.
Each commit in repositories of version control systems should include code changes for only a single task. However, in real repositories, there are many commits for multiple tasks and tasks split into multiple commits. We call the latter split commits. In this research, we firstly investigate how many and what kinds of split commits are included in repositories. Then, we classify the found split commits...
Compared with other areas, knowledge management in education area has been lack of attention for a long time. This paper did a survey on undergraduate in a Chinese research university. By designing the questionnaire, implementing the survey website by programming, we got 515 original data from art students and science students. Then we analyzed the data by several data-mining algorithms, e.g. the...
Most of our current understanding of how programmers perform various software maintenance and evolution tasks is based on controlled studies or interviews, which are inherently limited in size, scope, and realism. Replicating controlled studies in the field can both explore the findings of these studies in wider contexts and study new factors that have not been previously encountered in the laboratory...
In this paper, we will propose a digital watermarking for voice signals recorded by a digital voice recorder especially in conferences. We will discuss some requirements for detecting falsifications in the voice signal, because the conference record has the probability that a conclusion is changed for only a falsification in a little time interval. Next, we will show a method of locating an altered...
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...
In this paper we present some preliminary experimental results related to searching correlations between users' psychological traits and the properties of their social network graph. We explore simple clustering techniques on standard available data extracted from mainstream social media platforms. Our experiments on approximately 1000 users show that we are capable of identifying 9 groups of users...
Rapid pace of global urbanization has posed significant challenges to urban transportation infrastructures. Existing urban transit systems suffer many well-known shortcomings, where public transits have limits on coverage areas, and fixed schedules, and private transits are expensive and fail to timely meet the demand needs. We thus envision a Cloud-Commuting system, that employs a giant pool of centralized...
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