1,721,029 research outputs found
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Efficient tree construction for the multicast problem
A new heuristic for the Steiner Minimal Tree problem is presented here. The method described is based on the detection of particular sets of nodes in networks, the “Hot Spot” sets, which are used to obtain better approximations of the optimal solutions. An algorithm is also proposed which is capable of improving the solutions obtained by
classical heuristics, by means of a stirring process of
the nodes in solution trees. Classical heuristics and an enumerative method are used CIS comparison terms in the experimental analysis which demonstrates the goodness of the heuristic discussed in this paper
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Understanding customer satisfaction with services by leveraging big data: the role of services attributes and consumers’ cultural background
User-generated content and online reviews are becoming an increasingly relevant source of
information for online customers that use them for purchasing decisions. This study examines the impact
of services attributes and consumers’ cultural background on customer satisfaction with services in an
online setting using big data. First, almost half a million Expedia.com hotel online reviews related to hotel
properties located in five different countries (United States, United Kingdom, Italy, Spain, Russia) were
retrieved. Second, the resulting dataset was used to investigate if and to what extent the overall customer
satisfaction with a service is affected by the evaluation of specific hotel services attributes (operationalized
based on an established typology of attributes) and by the consumers’ cultural background (operationalized
by means of Hoftstede’s framework). A comprehensive multivariate regression analysis is carried out to test
the literature-driven hypotheses formulated. In particular, the analysis reveals that critical service attributes
such as hotel condition, room comfort, service and staff, and cleanliness positively affect the overall online
satisfaction ratings. The cultural dimensions of power distance, individualism and uncertainty avoidance
negatively affect overall online satisfaction, while long-term orientation and indulgence positively affect
online satisfaction. Masculinity seem not to play a significant role. We also observe that reviews’ text length
exerts a negative impact on online ratings. Theoretical and practical implications are discussed
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A fuzzy approach for the network congestion problem
In the recent years, the unpredictable growth of the Internet has moreover pointed out the congestion problem, one of the problems that historicallyha ve affected the network. This paper deals with the design and the evaluation of a congestion control algorithm which adopts
a FuzzyCon troller. The analogyb etween Proportional Integral (PI) regulators and Fuzzycon trollers is discussed and a method to determine the scaling factors of the Fuzzycon troller is presented. It is shown that
the Fuzzycon troller outperforms the PI under traffic conditions which are different from those related to the operating point considered in the design
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Fast training of self organizing maps for the visual exploration of molecular compounds
Visual exploration of scientific data in life science
area is a growing research field due to the large amount of
available data. The Kohonen’s Self Organizing Map (SOM) is
a widely used tool for visualization of multidimensional data.
In this paper we present a fast learning algorithm for SOMs
that uses a simulated annealing method to adapt the learning
parameters. The algorithm has been adopted in a data analysis
framework for the generation of similarity maps. Such maps
provide an effective tool for the visual exploration of large and
multi-dimensional input spaces. The approach has been applied
to data generated during the High Throughput Screening
of molecular compounds; the generated maps allow a visual
exploration of molecules with similar topological properties.
The experimental analysis on real world data from the
National Cancer Institute shows the speed up of the proposed
SOM training process in comparison to a traditional approach.
The resulting visual landscape groups molecules with similar
chemical properties in densely connected regions
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Coordination in Situated Systems: Engineering MAS Environment in TuCSoN
Multi-agent systems (MAS) provide a well-founded approach to the engineering of situated systems, where governing the interaction of a multiplicity of autonomous, distributed components with the environment represents one of the most critical issues. By interpreting situatedness as a coordination issue, in this paper we describe the TuCSoN coordination architecture for situated MAS, and show how the corresponding TuCSoN coordination technology can be effectively used for engineering MAS environment
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