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Skip to Search Results- 46Classification
- 29Database Systems
- 8Interdisciplinarity
- 5Gas Chromatography
- 4Data Mining
- 4Mass-spectrometry
- 10Zaiane, Osmar
- 6Szostak, R.
- 5Nascimento, Mario
- 4Nascimento, Mario A.
- 3Oliveira, Stanley
- 2Antonie, Maria-Luiza
- 33Graduate and Postdoctoral Studies (GPS), Faculty of
- 33Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 30Computing Science, Department of
- 30Computing Science, Department of/Technical Reports (Computing Science)
- 6Economics, Department of
- 5Economics, Department of/Journal Articles (Economics)
- 33Thesis
- 30Report
- 14Article (Published)
- 1Conference/Workshop Poster
- 1Conference/Workshop Presentation
- 1Research Material
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An Immersed Virtual Environment for Data WarehouseVisualization: Challenges and Implementation
Download2000
Technical report TR00-17. A system, DIVE-ON, was developed for visualizing and interacting with data from distributed data warehouses in an immersed virtual reality environment called a CAVE. The system provides navigation operations, OLAP manipulations, and data selection and filtering...
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Application of Machine Learning to Automate Classification and Information Extraction in Industrial Construction Documents
DownloadSpring 2022
Industrial construction projects are usually mega-projects that involve millions of labour person-hours and generate hundreds of thousands of documents. Construction documents represent a vital source of information and knowledge regarding the project scope. Documents come in different types and...
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2001
Antonie, Maria-Luiza, Zaiane, Osmar
Technical report TR01-04. Discriminating between text articles and automatically classifying documents is an essential task for many applications. With the prevalence of digital documents and the wide use of e-mail and web documents, text categorization is regaining interest and is becoming a...
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Spring 2014
Automated essay scoring (AES) is a technology that efficiently and economically score written responses by emulating intelligence of human scorer. Present study had employed open-source Natural Language Processing technologies for developing AES framework, to score multilingual medical licensing...
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1992
Ghose, Aditya, Geobel, Randy, Yuan, Li-Yan
Technical report TR92-09. In many database applications, designers can easily provide at least some information about the relative importance of the information to be stored and manipulated. While of potentially high value, the ordering information is typically only partial. Here we address the...
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Benchmarking Access Structures for High-Dimensional Multimedia Data
1999
Nascimento, Mario, Colossi, Nathan
Technical report TR99-05. In multimedia databases it is usual to map objects into feature vectors in high-dimensional spaces. In order to speed query processing access structures, or indices, are required. Unfortunately, in the case of similarity queries, which are in fact nearest neighbor ...
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Spring 2021
The electrocardiogram is the standard tool for detecting cardiac abnormalities, such as atrial fibrillation, irregular complexes, and heart blocks. However, the interpretation of this data is an unsolved problem with discrepancies among panels of cardiologists and automated analysis requiring...
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2008
Purpose - This paper aims to respond to the 2005 paper by Hjorland and Nissen Pedersen by suggesting that an exhaustive and universal classification of the phenomena that scholars study, and the methods and theories they apply, is feasible. It seeks to argue that such a classification is critical...
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Classifying Crystal Structures of Binary Compounds AB through Cluster Resolution Feature Selection and Support Vector Machine Analysis
Download2016
Adutwum, Lawrence A. , Harynuk, James, Mar, Arthur, Oliynyk, Anton O.
Partial least-squares discriminant analysis (PLS-DA) and support vector machine (SVM) techniques were applied to develop a crystal structure predictor for binary AB compounds. Models were trained and validated on the basis of the classification of 706 AB compounds adopting the seven most common...