Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 35 for “"Pattern discovery"”.
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Large-Scale Pattern Discovery in Music
This work focuses on extracting patterns in musical data from very large collections. The problem is split in two parts. First, we build such a large collection, the Million Song Dataset, to provide researchers access to commercial-size datasets. Second, we use this collection to study cover song …
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Semantic pattern discovery in open information extraction
… In this paper, we propose a novel semantic pattern-discovery for OpenIE (SemPatIE) framework which extracts relations in the form of typed textual pattern structures, called meta patterns and groups semantically similar pattern structures. To perform these tasks, the framework uses three …
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GENERIC FRAMEWORKS FOR INTERACTIVE PERSONALIZED INTERESTING PATTERN DISCOVERY
The traditional frequent pattern mining algorithms generate an exponentially large number of patterns of which a substantial portion are not much significant for many data analysis endeavours. Due to this, the discovery of a small number of interesting patterns from the exponentially large number …
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Feature Flocks : accurate pattern discovery in multivariate signals
… phenomena as human actions, power consumption patterns, and spoken words with up to 96% precision and recall. Our method is fast enough to run in real time and assumes only minimal knowledge of which variables are relevant or how long patterns are. Our evalation uses numerous publicly available …
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Pattern discovery in structural databases with applications to bioinformatics
… mining (FSM) aims to discover and extract patterns frequently occurring in structural data such as trees and graphs. FSM finds many applications in bioinformatics, XML processing, Web log analysis, and so on. In this thesis, two new FSM techniques are proposed for finding patterns in …
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Weakly Supervised Representation Learning for Trauma Injury Pattern Discovery
… We are motivated to develop an automated trauma pattern discovery framework for comprehensive identification of injury patterns which may eventually support diagnostic decision-making. We analyze 1,162,399 patients from the Trauma Quality Improvement Program with a disentangled variational …
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Feature Selection for High-risk Pattern Discovery in Medical Data
… In order to uncover clinically meaningful risk patterns, a feature selection method based on relative risk measure is proposed to identify important risk factors. To make the result friendly to subject matter experts, a visualization technique has been designed to represent the high-risk …
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Extracting regulatory signals from DNA sequences using syntactic pattern discovery
(cont.) algorithm was validated on synthetic as well as real datasets. When tested on a set of 30 well-studied regulons in Escherichia Coli, with known instances of regulatory motifs collected from biological literature, the algorithm showed, in 14 cases, a high sensitivity and specificity of 70% …
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Data-centric methods for optimization and pattern discovery in networked systems
… in this thesis is centered on identifying design patterns in architecture graph representations of operational systems. Design patterns have been well documented and researched in software systems as a valuable design tool since the nineties. However, their usage has not been significantly …
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Data-intensive spatial pattern discovery based on generalized spatial point representations
… how to estimate the spatial and spatiotemporal patterns of geographic phenomena from geospatial big data based on spatial point models? How to compare these patterns to gain insights into complex geographic phenomena? How to estimate the computational intensity of the methods? How can cyberGIS …
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Scaling Up Network Analysis and Mining: Statistical Sampling, Estimation, and Pattern Discovery
Network analysis and graph mining play a prominent role in providing insights and studying phenomena across various domains, including social, behavioral, biological, transportation, communication, and financial domains. Across all these domains, networks arise as a natural and rich representation …
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Unsupervised pattern discovery in speech : applications to word acquisition and speaker segmentation
… to speech processing based on the principle of pattern discovery. Our work represents a departure from traditional models of speech recognition, where the end goal is to classify speech into categories defined by a pre-specified inventory of lexical units (i.e. phones or words). Instead, we …
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Improved methods for pattern discovery in music, with applications in automated stylistic composition
Computational methods for intra-opus pattern discovery (discovering repeated patterns within a piece of music) and stylistic composition (composing in the style of another composer or period) can offer insights into how human listeners and composers undertake such activities. Two studies are …
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Sifting customers from the clickstream : behavior pattern discovery in a virtual shopping environment
While shopping online, customers' needs and goals may change dynamically, based on a variety of factors such as product information and characteristics, time pressure and perceived risk. While these changes create emergent information needs, decisions about what information to present to customers …
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A data science approach to pattern discovery in complex structures with applications in bioinformatics
Pattern discovery aims to find interesting, non-trivial, implicit, previously unknown and potentially useful patterns in data. This dissertation presents a data science approach for discovering patterns or motifs from complex structures, particularly complex RNA structures. RNA secondary and …
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Data mining and visualization : real time predictions and pattern discovery in hospital emergency rooms and immigration data
Data mining is a versatile and expanding field of study. We show the applications and uses of a variety of techniques in two very different realms: Emergency department (ED) length of stay prediction and visual analytics. For the ED, we investigate three data mining techniques to predict a …
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Mining, Indexing and Similarity Search in Large Graph Data Sets
… of data mining principles in structural pattern discovery, interpretation and search. The formulation of a general graph information system through this study could provide fundamental supports to graph-intensive applications in multiple domains.
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Big data analytics in computational biology and bioinformatics
… to an array of operations including biological pattern discovery, classification, prediction, inference, clustering as well as data mining in the cloud, among others. This dissertation addresses big data analytics by investigating two important operations, namely pattern discovery and network …
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Unsupervised modeling of latent topics and lexical units in speech audio
… time warping (S-DTW) algorithm for acoustic pattern discovery in conjunction with a probabilistic model which treats the topic and pseudo-word identity of each discovered pattern as hidden variables. By applying an Expectation-Maximization (EM) algorithm, our method estimates the latent …
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Decreasing Occlusion and Increasing Explanation in Interactive Visual Knowledge Discovery
… major problems for interactive visual knowledge discovery, machine learning and data mining in multidimensional data. This thesis proposes a hybrid method that combines visual and analytical means to deal with these problems. This method, denoted as FSP, uses visualization of n-D data in 2-D in a …
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