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Skip to Search Results- 29Database Systems
- 8Interdisciplinarity
- 7Classification
- 5Gas Chromatography
- 3Chemometrics
- 3Data Mining
- 10Zaiane, Osmar
- 6Szostak, R.
- 5Nascimento, Mario
- 4Nascimento, Mario A.
- 3Oliveira, Stanley
- 2Antonie, Maria-Luiza
- 29Computing Science, Department of
- 29Computing Science, Department of/Technical Reports (Computing Science)
- 6Economics, Department of
- 5Economics, Department of/Journal Articles (Economics)
- 5Graduate and Postdoctoral Studies (GPS), Faculty of
- 5Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
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2000
Technical report TR00-07. The DISIMA project addresses the development of a distributed, interoperable image database management system enabling content-based querying. The aim of this thesis project is to add an interoperability feature to the existing prototype. As object-oriented...
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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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2008
Abstract: This paper draws upon the scholarship of interdisciplinarity to argue that Economics, like all disciplines, should be open to a wide range of theories and methods, and the study of all relevant phenomena. A classification of the different methods and theory types used by scholars...
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2002
Technical report TR02-07. Clustering means grouping similar objects into groups such that objects within a same group bear similarity to each other while objects in different groups are dissimilar to each other. As an important component of data mining, much research on clustering has been...
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2011
Interdisciplinary communication, and thus the rate of progress in scholarly understanding, would be greatly enhanced if scholars had access to a universal classification of documents or ideas not grounded in particular disciplines or cultures. Such a classification is feasible if complex concepts...
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Content-Based Image Retrieval Using Binary Signatures
2000
Nascimento, Mario, Chitkara, Vishal, Mastaller, Curt
Technical report TR00-18. Significant research has focused on determining efficient methodologies for retrieving images in large image databases. In this paper, we propose two variations of a new image abstraction technique based on signature bit-strings and an appropriate similarity metric. The...
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2010
Renz, Matthias, Kriegel, Hans-Peter, Nascimento, Mario A., Follmann, Anna, Kroeger, Peer, Zuefle, Andreas
Technical report TR10-09. Count queries in wireless sensor networks report the number of sensor nodes for which the measured values satisfy a given query predicate. However, measurements in wireless sensor networks are typically imprecise due to limited accuracy of the sensor hardware or...
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2002
Lee, Chi-Hoon, Foss, Andrew, Zaiane, Osmar, Wang, Weinan
Technical report TR02-03. Clustering is the problem of grouping data based on similarity and consists of maximizing the intra-group similarity while minimizing the iter-group similarity. While this problem has attracted the attention of many researchers for many years, we are witnessing a...
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Fall 2017
Advancements in data acquisition technologies and the desire for rich data has led to an increase in the size of data collected from modern analytical instruments. With the aid of chemometric techniques, researchers are still able to glean more useful information from these kinds of data than...
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Decomposition and Feature Selection of Comprehensive 2-DimensionalGas Chromatography - Time-of-Flight Mass Spectrometry(GC×GC-TOFMS) Data
DownloadFall 2021
Comprehensive Two-Dimensional Gas Chromatography - Time-of-Flight Mass Spectrometry (GC×GC-TOFMS) is an advanced instrumental technique that separates complex mixtures along two chromatographic dimensions, followed by multivariate detection that collects mass spectral information at a high...