9,690 research outputs found
An overview of decision table literature.
The present report contains an overview of the literature on decision tables since its origin. The goal is to analyze the dissemination of decision tables in different areas of knowledge, countries and languages, especially showing these that present the most interest on decision table use. In the first part a description of the scope of the overview is given. Next, the classification results by topic are explained. An abstract and some keywords are included for each reference, normally provided by the authors. In some cases own comments are added. The purpose of these comments is to show where, how and why decision tables are used. Other examined topics are the theoretical or practical feature of each document, as well as its origin country and language. Finally, the main body of the paper consists of the ordered list of publications with abstract, classification and comments.
Software defect prediction based on association rule classification.
In software defect prediction, predictive models are estimated based on various code attributes to assess the likelihood of software modules containing errors. Many classification methods have been suggested to accomplish this task. However, association based classification methods have not been investigated so far in this context. This paper assesses the use of such a classification method, CBA2, and compares it to other rule based classification methods. Furthermore, we investigate whether rule sets generated on data from one software project can be used to predict defective software modules in other, similar software projects. It is found that applying the CBA2 algorithm results in both accurate and comprehensible rule sets.Software defect prediction; Association rule classification; CBA2; AUC;
The reasons for the decline of festival attendees and the link to audience satisfaction
While Wintec starts international student program, it is offering valuable opportunities to acquaint people with other cultures. Festivals celebration on campus often provides a dominant position for diversity groups communicating. The Chinese Festival Celebration reflects the dynamic of New Zealand society in general. These developments are so encouraging of promising international Chinese student outside China begin to cheer and advocate that the festival celebration held jointly by Chinese and non-Chinese. It helped more and more non-Chinese to understand Chinese culture. Over the years many of the records of this bygone era have been lost to them. Chinese culture should be keep explored and maintain enthusiasm for history to bring back these nearly forgotten arts. With this in mind, the researcher was undertaken Chinese cultural events in China to examine the similarities and differences that applied in New Zealand. This report illuminates the perspective of people (international visitors and students) coming from China and other countries towards their expectations. This report presents the results of a quantitative survey conducted, and qualitative interviews to gain a better analysis that investigating the challenges faced by the relationship between quality, satisfaction and the likelihood that would affect attendees’ repeat visit intent. The report provided an overview that how Chinese cultural event in China, also contrast the differences and similarities that applied in New Zealand stage
Keeping up with environmental change:The importance of sociality
In the current era of rapid climate change, populations are facing environments in which food availability can quickly decline or become highly unpredictable. These conditions may require a high degree of flexibility of individuals and populations to adequately respond to such changes. We propose that the evolution of such high flexibility may be facilitated in social animals that form groups and cooperate in important tasks that critically affect survival and reproduction and ultimately affect adaptive capacity. We argue that sociality is likely to be a key, yet largely overlooked factor that shapes rather than limits the potential for phenotypic plasticity. Cooperatively breeding species are most suitable for studying the influence of both the physical and the social environmental conditions on shaping the phenotypic plasticity of individuals. Cooperative breeders display variation in group size and structure, and in the extent of cooperation and competition between their members. In addition, immigrants may impose costs and/or benefits on other group members, as well as on the whole group. In cooperative breeders, we elucidate why and how group formation and interactions between group members can provide adaptive benefits to some or all individuals in the group. Observed adjustments in social behaviour may be strategic and ultimately enhance individual fitness benefits, and thus improve group and population persistence. Future studies should examine how ecology and sociality together shape the adjustment of animals to rapid and extreme environmental change. In addition to identifying how changes in physical and social factors impact individual behaviour, group formation and sociality, it is crucial to assess associated costs and benefits by exploring the life histories of all group members. Understanding this requires population models, as they integrate all the critical life-history phases, and different types of sociality. We are confident that future research into the ecology and social dynamics will reveal new avenues for the adaptive ability of cooperative breeders and other social species
Human-Centric Process-Aware Information Systems (HC-PAIS)
Process-Aware Information Systems (PAIS) support organizations in managing
and automating their processes. A full automation of processes is in particular
industries, such as service-oriented markets, not practicable. The integration
of humans in PAIS is necessary to manage and perform processes that require
human capabilities, judgments and decisions. A challenge of interdisciplinary
PAIS research is to provide concepts and solutions that support human
integration in PAIS and human orientation of PAIS in a way that provably
increase the PAIS users' satisfaction and motivation with working with the
Human-Centric Process Aware Information System (HC-PAIS) and consequently
influence users' performance of tasks. This work is an initial step of research
that aims at providing a definition of Human-Centric Process Aware Information
Systems (HC-PAIS) and future research challenges of HC-PAIS. Results of focus
group research are presented.Comment: 8 page
Energy evaluation model for an improved centralized clustering hierarchical algorithm in WSN
Wireless Sensor Networks (WSN) consists of battery-powered sensor nodes which collect data and route the data to the Base Station. Centralized Cluster-based routing protocols efficiently utilize limited energy of the nodes by selecting Cluster Heads (CHs) in each round. Selection of CHs and Cluster formation is performed by the Base Station. In each round, nodes transmit their location information and their residual energy to the Base Station. This operation is a considerable burden on these resource hungry sensor nodes. In this paper we propose a scheme whereby a small number of High-Energy nodes gather location information and residual energy status of the sensing nodes and transmit to the Base Station. This scheme eliminates CH advertisement phase in order to conserve energy. Based on the energy consumption by various types of nodes, we have derived an energy model for our algorithm which depicts the total energy consumption in the network. © 2013 Springer-Verlag
Natural Language Processing with Small Feed-Forward Networks
We show that small and shallow feed-forward neural networks can achieve near
state-of-the-art results on a range of unstructured and structured language
processing tasks while being considerably cheaper in memory and computational
requirements than deep recurrent models. Motivated by resource-constrained
environments like mobile phones, we showcase simple techniques for obtaining
such small neural network models, and investigate different tradeoffs when
deciding how to allocate a small memory budget.Comment: EMNLP 2017 short pape
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