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The focus of this research was to use Educational Data Mining (EDM) techniques to conduct a quantitative analysis of students interaction with an e-learning system through instructor-led non-graded and graded courses. This exercise is useful for establishing a guideline for a series of online short courses for them. A group of 412 students' access behaviour in an e-learning system were analysed and...
Data was mined for the purpose of extracting data from an online source to compute and classify hydraulic geometry as well as providing additional data (channel stability, material, and evenness) for pattern discovery. Hydraulic geometry, the relationships between a stream's geometry (width and depth) and flow (velocity and discharge), is applicable to flood prediction, water resources management,...
Nanotoxicity modeling can reveal the relationship between nanomaterial properties and unintended adverse effects. Traditional modeling usually builds a prediction model on the whole dataset. It does not examine the subsets of the data and their quality for model building. In this paper, we introduce a prediction cube approach to nanotoxicity modeling. Prediction cube is a new type of data cube for...
Notwithstanding the fact that interest and applicability of knowledge management systems has augmented drastically during the past decade, the educational sector has struggled to garner attention in this respect. Current systems exhibit a vast amount of limitations and few instances were able to report successful implementation amongst academics and administration. This paper addresses these challenges...
Adaptive learning systems require student model repository that store student's data in order to provide learning materials tailored to the student's characteristics. Student's learning style is one of the most crucial factors to be identified in order to update the student's profile. Hence, the need for a high accurate classifier that deals with the students data and generates suitable number of...
Knowledge about defects inside the optical waveg-uides is necessary to control the loss during the communication. Therefore the investigation of glow curve can be significant important for improvement of communication systems. In this research, the defects of a cylindrical optical fibre with 8% germanium doped is studied, and then the deconvolution of thermoluminescence glow curve is presented for...
Schizophrenia, schizoaffective and bipolar disorders share some common symptoms. However, the biomarkers underlying those disorders remain unclear. In fact, there is still controversy about the schizoaffective disorder with respect to its validity of independent category and its relationship with schizophrenia and bipolar disorders. In this paper, based on brain functional networks extracted from...
Linked data is developing very fast and becomingmore and more important in different domains. As a relativelycomprehensive linked data set, DBpedia contains billions oftriples, which involves knowledge from diverse domains. This paper aims to utilize the metal materials knowledge in DBpeida to provide more useful services for materials experts. A knowledge extraction algorithm is designed to extract...
In this paper, we present the vision of an open source learning analytics platform, able to harvest data from different sources, including e-learning platforms and environments, registrar's information systems, alumni systems, etc., so as to provide all stakeholders with the necessary functionality to make decisions on the learning process. The platform's architecture is modular, allowing the introduction...
Nonlinear effects in hyperspectral data complicate classification and other data analysis procedures. Transforming the data onto manifolds can help to improve the results while simultaneously reducing the dimensionality due to the high correlation among the spectral bands. Methods like ISOMAP or Locally Linear Embedding are not ideal when the data is degraded by noise. In this paper, a method is introduced...
Product bundling refers to the combination of several products for sale as one product. Current bundling approaches lack the ability to adapt, focusing mostly on the creation of pre-computed static bundles, which prove to be inefficient considering the dynamically changing prospective customer needs and product availability, as is particularly the case in enterprise networks. This paper describes...
Allocation of budget for acquisition of an academic library is an important initiative to enhance the efficiency of management, to accomplish the objectives ensuring the availability of materials in a library. Processing the circulation data of library, two important dimensions, namely, concentration and connection [1] could be explored among departments and library members. This can make the analysis...
Information describing the materials that make up scene constituents provides invaluable context that can lead to a better understanding of images. We would like to obtain such material information at every pixel, in arbitrary images, regardless of the objects involved. In this paper, we introduce visual material traits to achieve this. Material traits, such as "shiny," or "woven,"...
Study of remote sensed imagery has gained practical significance in various domains such as environmental monitoring, fire risk mapping, change detections and land use. Classification is a data mining methodology which is used to assign class labels to data instances and build a model so as to be able to predict class labels for unlabelled data. In this paper algorithms based on parametric distribution...
In this paper, we introduce a refined Educational Data Mining approach, which refrains from explicit learner modeling along with an evaluation concept. We use a Data Mining technology, which models students' learning characteristics by considering real data instead of deriving their characteristics explicitly. It aims at mining course characteristics similarities of former students' study traces and...
We demonstrate a parameter extraction algorithm based on a theoretical transfer function, which takes into account a converging THz beam. We use material parameter extraction as a way to determine the angular profile of the apparatus.
Vast amount of information is accumulated in many forms during the usage and maintenance of new equipments under information circumstance. The method of data mining is presented in this paper to take full advantage of information and increase scientific decision level of equipment maintenance management. The method includes maintenance information structure analysis, data collection, data coordination,...
Financial markets are primarily driven by three key drivers, technologies, competition and globalization. These drivers are accompanied with challenging risks. Market authorities monitor activities in order to reduce to the barest minimum the adverse impacts some products and services have on the whole financial system. This indicates the need for a high quality monitoring and surveillance system...
Nowadays, the popularity of e-learning systems is growing fast. It is allowed to follow the development web and multimedia technologies. Web-based education became wide spread in the past few years. Various types of learning management systems (LMS) facilitate the development of Web-based courses. The quality of LMS is an important feature that helps ensure a good service. The quality of systems has...
Whenever a research scholar starts working on some innovative ideas he/she searches for the domain specific technical research articles published as research papers in most of the international journals, conferences or workshops. The problems associated with these papers are similarity in contents and repeated relevant information. Reading these all relatedpapers completely one by one to get the latest...
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