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Publications

Publications by LIAAD

2002

Retail promotion objectives: Evidence from New Zealand, Portugal and Hungary

Authors
Fam, KS; Merrilees, B; Brito, P; Jozsa, L;

Publication
Journal of Euromarketing

Abstract
Very little is known about the promotion objectives of small firms. In particular, do differences in promotional campaigns warrant a different set of promotion objectives, and how effective were these objectives? Are there differences in the use of promotion objectives amongst retailers with different national background, but within the same retail category? To address these questions, we questioned 287 clothing and shoe retailers in New Zealand, 161 in Portugal and 328 in Hungary. Retailers were asked questions about the following: (a) what was their most recent promotion campaign; (b) what were the objectives of their recent promotion campaign; (c) how successful was their recent promotion campaign; (d) how has their particular market share changed in the past 12 months; and (e) what fraction of their stock was markdown and what was the average percentage markdown. We then extended the analysis by contrasting the promotion objectives, market share and stock markdown of successful with unsuccessful campaigns. Again the results indicated some significant variations. These results have ramifications for the small firms' advertising strategies across countries, with an emphasis on the objectives of stock clearance and attracting new customers. A major finding was the cross-cultural differences across the three countries studied, mainly reflecting the different stages of economic development.

2002

Smoothness of holonomies for codimension 1 hyperbolic dynamics

Authors
Pinto, AA; Rand, DA;

Publication
BULLETIN OF THE LONDON MATHEMATICAL SOCIETY

Abstract
Hyperbolic invariant sets A of C1+gamma diffeomorphisms where either the stable or unstable leaves are 1-dimensional are considered in this paper, Under the assumption that the A has local product structure, the authors prove that the holonomies between the 1-dimensional leaves are C1+alpha for some 0 < alpha < 1.

2002

Teichmuller spaces and HR structures for hyperbolic surface dynamics

Authors
Pinto, AA; Rand, DA;

Publication
ERGODIC THEORY AND DYNAMICAL SYSTEMS

Abstract
We construct a Teichmuller space for the C1+-conjugacy classes of hyperbolic dynamical systems on surfaces. After introducing the notion of an HR structure which associates an affine structure with each of the stable and unstable laminations, we show that there is a one-to-one correspondence between these HR structures and the C1+-conjugacy classes. As part of the proof we construct a canonical representative dynamical system for each HR structure. This has the smoothest holonomies of any representative of the corresponding C1+-conjugacy class. Finally, we introduce solenoid functions and show that they provide a good Teichmuller space.

2002

Displays for direct comparison of ARIMA models

Authors
Heiberger, RM; Teles, P;

Publication
AMERICAN STATISTICIAN

Abstract
The series of graphs presented here, based on standard time series diagnostics and display graphs, eases the tasks of identifying and checking an ARIMA model. Each diagnostic display consists of a matrix of plots for a series of ARIMA(p, d, q) models (with p = 1:p(max), q =1:q(max) and d constant). In this way the identification phase of the analysis is eased because the analyst can directly see the incremental effect of each proposed term. The direct visual comparison of the models is helpful to the experienced analyst because it makes immediate the difference in the explanatory capabilities of the various models. The series of plots is very helpful in presenting time series concepts, particularly the identification phase, to introductory classes. The plots have been implemented using the Trellis system in S-Plus.

2001

Combining rule-based and case-based learning for iterative part-of-speech tagging

Authors
Lopes, AA; Jorge, A;

Publication
ADVANCES IN CASE-BASED REASONING, PROCEEDINGS

Abstract
In this article we show how the accuracy of a rule based first order theory may be increased by combining it with a case-based approach in a classification task. Case-based learning is used when the rule language bias is exhausted. This is achieved in an iterative approach. In each iteration theories consisting of first order rules are induced and covered examples are removed. The process stops when it is no longer possible to find rules with satisfactory quality. The remaining examples are then handled as cases. The case-based approach proposed here is also, to a large extent, new, Instead of only storing the cases as provided, it has a learning phase where, for each case, it constructs and stores a set of explanations with support and confidence above given thresholds. These explanations have different levels of generality and the maximally specific one corresponds to the case itself The same case may have different explanations representing different perspectives of the case. Therefore, to classify a new case, it looks for relevant stored explanations applicable to the new case. The different possible views of the case given by the explanations correspond to considering different sets of conditions/features to analyze the case. In other words, they lead to different ways to compute similarity between known cases/explanations and the new case to be classified (as opposed to the commonly used global metric). Experimental results have been obtained on a corpus of Portuguese texts for the task of part-of-speech tagging with significant improvement.

2001

Collaboration support for virtual data mining enterprises

Authors
Voß, A; Richter, G; Moyle, S; Jorge, A;

Publication
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Abstract
RAMSYS is a web-based infrastructure for collaborative data mining. It is being developed in the SolEuNet European Project for virtual enterprise services in data mining and decision support. Central to RAMSYS is the idea of sharing the current best understanding to foster efficient collaboration. This paper presents the design and rationale of Zeno, a core component of RAMSYS. Zeno is a groupware for discourses on the Internet and, for RAMSYS, aims to provide a “virtual data mining laboratory” to aid data miners in collaboratively producing better solutions to data mining problems. © Springer-Verlag Berlin Heidelberg 2001.

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