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Skip to Search Results- 14Sander, Joerg (Computing Science)
- 2Rafiei, Davood (Computing Science)
- 1Nascimento, Mario (Computing Science)
- 1Nascimento, Mario A. (Computing Science)
- 1Parsons, Ian (Computing Science)
- 1Rafiei, Davood(Computing Science)
- 2Clustering
- 1Anomaly Detection
- 1Anomaly detection
- 1Attribute-value pairs
- 1Clustering parameter
- 1Co-location pattern
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Fall 2017
Density-based clustering methods extract high density clusters which are separated by regions of lower density. HDBSCAN* is an existing algorithm for producing a density-based cluster hierarchy. To obtain clusters from this hierarchy it includes an instance of FOSC(Framework for Optimal Selection...
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Fall 2013
Many clustering techniques require parameter settings and depending on an algorithms sensitivity to the parameter, the choice of the parameter value can be very important. Several approaches have been proposed to find the “best” value of the clustering parameter for the different unsupervised...
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Fall 2021
The problem of aspect-based recommendation---recommending an "item" to a "recommendation recipient" based on "aspects", i.e., information about the characteristic features of the item that may be of interest to the recommendation recipient or what makes an item a good match for a recommendation...
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Fall 2018
Identifying the peptide sequence from a mass spectrum is done either by database search or De novo peptide sequencing. This thesis focuses on identification of peptides by using database search, which is a process where an MS/MS spectrum is searched against an entire database of spectra...
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Fall 2013
Identifying spatial patterns of collisions is critical for improving the efficiency and effectiveness of traffic enforcement deployment and road safety. Recently, many studies have centred on finding locations with high collision concentration, so-called hotspots. However, most of them only focus...
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Spring 2020
The web contains a large volume of tables that provide structured information about entities and relationships. This data may be used as a source for exploratory searches and to gather information about desired entities. This thesis focuses on one particular exploratory search where given a query...
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Fall 2014
We address the problem of finding ‘surprising’ patterns of variable length in sequence data, where a surprising pattern is defined as a subsequence of a longer sequence, whose observed frequency is statistically significant with respect to a given distribution.Finding statistically significant...
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Spring 2013
We propose a two-phase method, called Multivariate Association Discovery (MAD), to mine temporal associations in multiple event sequences. It is assumed that a set of event sequences has been collected from an application, where each event has an id and an occurrence time. The goal is to detect...
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Spring 2020
Online trajectory prediction is central to the function of air traffic control of improving the flow of air traffic and preventing collisions, particularly considering the ever-increasing number of air travellers. In this thesis, we propose an approach to predict the mid-flight trajectory of an...
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Opportunities and Limitations of Using Melting Curve Dissimilarity to Determine Protein Interactions
DownloadFall 2022
Proteins are large biomolecules that perform many functions within an organism. Proteins frequently form interactions with other biomolecules. A group of proteins held together by interactions is known as a protein complex. Protein interactions are essential to many biological processes. Thus,...