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Relational data classification is the problem of predicting a class label of a target entity given information about features of the entity, of the related entities, or neighbors, and of the links. This paper compares two fundamental approaches to relational classification: aggregating the features of entities related to a target instance, or aggregating the probabilistic predictions based on the...
Credit risk analysis plays an important role in the financial market. In this paper, discriminative restricted Boltzmann machine (RBM) is used in credit risk classification. RBM is a generative model associated with an undirected graph, which can capture complicated features from observed data, and after introducing discriminative component into RBM, it can be used to train a non-linear classifier...
Building one's vocabulary in a language is an important component of language acquisition. Children learn their native language by being immersed in the language that is used in their environment. However, in second language acquisition, learners are often exposed to vocabulary that is selected by others specifically to aid language acquisition such as textbooks and word-lists. In this paper, we are...
Selecting good stocks for investment is an essential problem in finance. However, accessing stocks is very difficult because many factors may affect the stocks and their relationship is also very complicated to analyze. Applying probabilistic statistical classification model, such as logistic regression, for stock analysis is promising. Logistic regression is an efficient classifier for predicting...
Side effects of prescribed medications are a common occurrence. Electronic healthcare databases present the opportunity to identify new side effects efficiently but currently the methods are limited due to confounding (i.e. When an association between two variables is identified due to them both being associated to a third variable). In this paper we propose a proof of concept method that learns common...
It is not easy for fuzzy model to describe the uncertainty of language, because the fuzzy model is a conventional function. The membership function of type-2 fuzzy sets(T2 FS) combines a variety of possible type-1 membership, and the primary membership function reflects the impact of uncertain factors. Online reviews are perceptive informatics, and with the time varying??the evaluation criteria also...
Many important network security areas, such as Intrusion Detection System and Next-Generation Firewall, leverage Traffic Classification techniques to reveal application-level protocols. Machine Learning algorithms give us the ability to identify encrypted or complicated traffic. However, classification accuracies of Machine Learning algorithms are always facing challenges and doubts in practical usage...
Teaching assistants (TAs) are crucial for student learning, especially in large science, technology, engineering, and mathematics (STEM) programs with student-centered learning environments. To understand TAs' perspectives of their ability to facilitate learning in these environments, this research team conducted a mixed-methods study. This study was set in the First-Year Engineering Program at Purdue...
Although the number of doctoral degrees awarded to women in engineering has increased substantially over the last half of the 20th century, women are still substantially underrepresented among engineering faculty. Operating from the premise that a "cultural mass" of an identity group might change organizational behavior, we explore the potential influence of gender composition on faculty's...
Science, technology and engineering are constantly changing in profound ways, so STEM teachers have to keep up with providing not only the textbook basics, but also updated examples from current technologies, while using novel teaching techniques based on scientific inquiry. Professional development activities are powerful tools to increase teacher learning, and indirectly drive improved classroom...
The transfer pathway, particularly from two- to four-year colleges, is often seen as a vehicle to expand the science and engineering workforce by increasing college participation of underrepresented groups, such as black or African American students. In an earlier study, after controlling for credits earned, we found that black transfer students are more likely to persist in engineering than non-transfer...
In this paper, we describe an on-going experiment in asynchronous on-line learning. In 2010, a popular graduate statistics course was converted to this format. The course has now been offered four times in the new format. We review some highlights from the history of personalized instruction and how those ideas influenced the development of our course; as well as the results of its first four offerings...
Shenzhen power supply bureau (SZPSB) urgently need a series of methods which can analyze the cause of wireless communication fault and predict wireless communication failure, these methods can facilitate operations staff take the initiative to master the signal status, solve the problem of signal fault in time, and increase the terminal online rate. In this paper, we present a model named GCFPM (Gradient...
With the fast development of logistics industry in china, the society has a higher request of the professional skills and professional quality to the students who study at the major of logistics in high vocational college. The circumstance teaching theory and practice of china and abroad should be used for reference, the importance of circumstance teaching should be confirmed on the basis of traditional...
Internet of Things (IoT) has received more and more concerns in academia and industry since it was first proposed. With the decrease of tag price and the development of electronic equipments, IoT is widely used to manage the commodities in modern logistic warehouse. As the commodities move in and out of the warehouse frequently every day, there is a need to devise an efficient solution to detect the...
Data mining techniques have been applied to many areas in the business world and our daily life, including healthcare and clinical health services. One of the mostly watched health problems is obesity and overweight, particularly for children and adolescents. In this paper, we try to find the most significant lifestyle risk factors associated with overweight and obesity among high school students...
Many shopping sites provide functions to submit a user review for a purchased item. Reviews of items including stories such as novels and movies sometimes contain spoilers (undesired and revealing plot descriptions) along with the opinions of the review author. In this paper, we propose a system that helps users see reviews without seeing such plot descriptions. This system classifies each sentence...
Community Question Answering (CQA) sites have become valuable repositories that host a massive volume of human knowledge. How can we detect a high-value answer which clears the doubts of many users? Can we tell the user if the question s/he is posting would attract a good answer? In this paper, we aim to answer these questions from the perspective of the voting outcome by the site users. Our key observation...
With the promotion of Early Admission (EA) among the universities in China, its prediction accuracy of the potential of the students with regard to their academic performance is highly concerned. In this study, the statistical methods and the artificial intelligence technologies were used comparatively to build the prediction models. According to our best knowledge, this is the first time that a model...
The aim of this paper is to present a mathematical approach to support the decision making of distribution center location. We use the LP model to decide the (distribution center) DC's capacity and location with the consideration of delivery time. We find that the time cost effects decision of distribution center location significantly and suggest that manager should involve cost of time in their...
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