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Full-Text Articles in Computer Sciences
Educational Data Mining Approaches For Digital Libraries, Mimi Recker, Sherry Hsi, Beijie Xu, Rob Rothfarb
Educational Data Mining Approaches For Digital Libraries, Mimi Recker, Sherry Hsi, Beijie Xu, Rob Rothfarb
Instructional Technology and Learning Sciences Faculty Publications
This collaborative research project between the Exploratorium and Utah State's Department of Instructional Technology and Learning Sciences investigates online evaluation approaches and the application of educational data mining to educational digital libraries and services. Much work over the past decades has focused on developing algorithms and methods for discovering patterns in large datasets, known as Knowledge Discovery from Data (KDD). Webmetrics, the application of KDD to web usage mining, is growing rapidly in areas such as e-commerce. Educational Data Mining (EDM) is just beginning to emerge as a tool to analyze the massive, longitudinal user data that are captured in …
Data Mining For Software Engineering, Tao Xie, Suresh Thummalapenta, David Lo, Chao Liu
Data Mining For Software Engineering, Tao Xie, Suresh Thummalapenta, David Lo, Chao Liu
Research Collection School Of Computing and Information Systems
To improve software productivity and quality, software engineers are increasingly applying data mining algorithms to various software engineering tasks. However, mining SE data poses several challenges. The authors present various algorithms to effectively mine sequences, graphs, and text from such data.
Sentiment Classification Of Reviews Using Sentiwordnet, Bruno Ohana, Brendan Tierney
Sentiment Classification Of Reviews Using Sentiwordnet, Bruno Ohana, Brendan Tierney
Conference papers
Sentiment classification concerns the use of automatic methods for predicting the orientation of subjective content on text documents, with applications on a number of areas including recommender and advertising systems, customer intelligence and information retrieval. SentiWordNet is an opinion lexicon derived from the WordNet database where each term is associated with numerical scores indicating positive and negative sentiment information. This research presents the results of applying the SentiWordNet lexical resource to the problem of automatic sentiment classification of film reviews. Our approach comprises counting positive and negative term scores to determine sentiment orientation, and an improvement is presented by building …
An Enhanced Data Mining Life Cycle, Markus Hofmann, Brendan Tierney
An Enhanced Data Mining Life Cycle, Markus Hofmann, Brendan Tierney
Conference papers
Data mining projects are complex and can have a high failure rate. In order to improve project management and success rates of such projects a life cycle is vital to the overall success of the project. This paper reports on a research project that was concerned with the life cycle development for data mining projects, its team members and their role. The paper provides a detailed view of the design and development of the data mining life cycle called DMLC. The life cycle aims to support all members of data mining project teams as well as IT managers and academic …