Browsing School of Computer Science and Informatics by Author "Greene, Derek"

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Browsing School of Computer Science and Informatics by Author "Greene, Derek"

Now showing items 1-11 of 11

An analysis of research themes in the CBR conference literature

Greene, Derek ; Freyne, Jill ; Smyth, Barry ; Cunningham, Pádraig (Springer, 2008)

After fifteen years of CBR conferences, this paper sets out to examine the themes that have evolved in CBR research as revealed by the implicit and explicit relationships between the conference papers. We have examined a ...
Deriving insights from national happiness indices

Brew, Anthony ; Greene, Derek ; Archambault, Daniel ; Cunningham, Pádraig (IEEE, 2011-12-11)

In online social media, individuals produce vast amounts of content which in effect "instruments" the world around us. Users on sites such as Twitter are publicly broadcasting status updates that provide an indication of ...
Distortion as a validation criterion in the identification of suspicious reviews

Wu, Guangyu ; Greene, Derek ; Smyth, Barry ; Cunningham, Pádraig (University College Dublin, 2010-05-02)

Assessing the trustworthiness of reviews is a key issue for the maintainers of opinion sites such as TripAdvisor. In this paper we propose a distortion criterion for assessing the impact of methods for uncovering ...
Identifying representative textual sources in blog networks

Wade, Karen ; Greene, Derek ; Lee, Conrad ; Archambault, Daniel ; Cunningham, Pádraig (University College Dublin. School of Computer Science and Informatics, 2011-02)

We apply methods from social network analysis and visualization to facilitate a study of the Irish blogosphere from a cultural studies perspective. We focus on solving the practical issues that arise when the goal is to ...
Merging multiple criteria to identify suspicious reviews

Wu, Guangyu ; Greene, Derek ; Cunningham, Pádraig (ACM, 2010)

Assessing the trustworthiness of reviews is a key issue for the maintainers of opinion sites such as TripAdvisor, given the rewards that can be derived from posting false or biased reviews. In this paper we present a number ...
Multi-view clustering for mining heterogeneous social network data

Greene, Derek ; Cunningham, Pádraig (2009-03)

Uncovering community structure is a core challenge in social network analysis. This is a significant challenge for large networks where there is a single type of relation in the network (e.g. friend or knows). In practice ...
Optimizing conflicting objectives in NMF using Pareto simulated annealing

Foley, Kevin ; Greene, Derek ; Cunningham, Pádraig (2010-08-30)

Non-Negative matrix factorization (NMF) has emerged as an important technique for simplifying high-dimension data into interpretable factors. NMF has the attractive characteristic that the factor matrices are naturally ...
Spectral co-clustering for dynamic bipartite graphs

Greene, Derek ; Cunningham, Pádraig (Sun SITE Central Europe (CEUR), 2010-09-24)

A common task in many domains with a temporal aspect involves identifying and tracking clusters over time. Often dynamic data will have a feature-based representation. In some cases, a direct mapping will exist for both ...
Taking the pulse of the web : assessing sentiment on topics in online media

Brew, Anthony ; Greene, Derek ; Cunningham, Pádraig (WebSci, 2010-04-26)

The task of identifying sentiment trends in the popular media has long been of interest to analysts and pundits. Until recently, this task has required professional annotators to manually inspect individual articles in ...
Tracking the evolution of communities in dynamic social networks

Greene, Derek ; Doyle, Dónal ; Cunningham, Pádraig (IEEE, 2010-08-11)

Real-world social networks from a variety of domains can naturally be modelled as dynamic graphs. However, approaches to detecting communities have largely focused on identifying communities in static graphs. Recently, ...
Using crowdsourcing and active learning to track sentiment in online media

Brew, Anthony ; Greene, Derek ; Cunningham, Pádraig (IOS Press, 2010-08-16)

Tracking sentiment in the popular media has long been of interest to media analysts and pundits. With the availability of news content via online syndicated feeds, it is now possible to automate some aspects of this process. ...