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San Jose de Sisa, Peru

De La Vega K.G.P.,Santa Maria Catholic University | De La Vega K.G.P.,National University of San Agustin | Castanon C.B.,Catholic University of Peru
CEUR Workshop Proceedings | Year: 2014

The sequential pattern mining stems from the need to obtain patterns that are repeated in multiple transactions in a database of sequences, which are related to time, or another type of criterion. This work presents the proposal of a new technique for the discovery of sequential patterns from a database of sequences, where the patterns not only provide information on how these relate to the time, but also, that in the mining process itself should be included the quantity factors associated with each of the items that are part of a sequence, and as a result of this process can be obtain information relating to how they relate these items with regard to the amounts associated. The proposed algorithm uses divide and conquer techniques, as well as indexing and partitioning of the database. Source

Lopez-Osorio J.M.,University of Malaga | Rios Vizcarra G.,Santa Maria Catholic University | Martin Codes U.,University of Malaga
Vernacular Architecture: Towards a Sustainable Future - Proceedings of the International Conference on Vernacular Heritage, Sustainability and Earthen Architecture | Year: 2015

In the Peruvian vernacular architecture examples abound where social and symbolic aspects appear intertwined in the constructive process. It is in this conceptual framework that the study of Andean architecture and its transformations is to be placed. Both the changes that take place in the rural world and the new constructions of the so called "young villages" located in the periphery of large cities are of enormous interest for contemporary architectural culture. The present research considers some examples that do not follow local logics of transformation and may put at risk the material identity of vernacular culture. This is by no means a peculiar or local phenomenon, since similar processes are taking place all around the world for quite a few years now. The article discusses the specific case of the development and expansion of Chicha Peruvian architecture and of the transformation of the Andean rural architecture. © 2015 Taylor & Francis Group. Source

Calderon-Ruiz G.,Santa Maria Catholic University | Sepulveda M.,University of Chile
Industrial Engineer | Year: 2011

The process mining technique used by a Chilean Telecommunications Company to discover the source of failures in business processes in an automatic and efficient way is presented. Process mining is a set of business process management (BPM) techniques that helps analyze business processes using the event logs obtained from information systems that support the business processes. There are three types of analysis that could be conducted with process mining that includes process discovery, conformance checking and extension. Process discovery algorithms reveal the actual process from event logs. Conformance checking compares the event log against an a priori model of the process and the extension analysis allows identifying other useful information, such as bottlenecks, business rules or execution patterns. Business processes could be analyzed from different perspectives, such as control flow, organizational or time. PSDA allow discovering the sources of failures by analyzing the control flow perspective. Source

Fernandez Del Carpio A.,Santa Maria Catholic University
eChallenges e-2015 Conference Proceedings | Year: 2015

Knowledge transfer is a key aspect of securing the continuous improvement of learning, being the reuse and recombination of knowledge a difficult task. Hence, this process can be enriched by approaches such as graph theory, transactive memory and social networks to boost and facilitate the team members' learning. This paper presents an approaching of representing knowledge transfer of learning contexts, applying graph structures to perceive dynamically the collaborative learning under transactive memory mechanisms and social network aspects when connecting participants in building knowledge. The proposed model allows rate the learning process and determines weak elements to so reinforcing the understanding and comprehension of a determined subject. Through case studies, this approach was validated by people belonging to academic and business context, which participated in learning collaboratively specific topics and provided support for acquiring skills. The dynamic of the model, supported by a graph structure was analysed to disclose encouraging perceptions on this proposal. © 2015 IIMC. Source

Lee A.C.C.,Brigham and Womens Hospital | Blencowe H.,London School of Hygiene and Tropical Medicine | Cousens S.,London School of Hygiene and Tropical Medicine | Vogel J.P.,University of Western Australia | And 29 more authors.
The Lancet Global Health | Year: 2013

Background: National estimates for the numbers of babies born small for gestational age and the comorbidity with preterm birth are unavailable. We aimed to estimate the prevalence of term and preterm babies born small for gestational age (term-SGA and preterm-SGA), and the relation to low birthweight (<2500 g), in 138 countries of low and middle income in 2010. Methods: Small for gestational age was defined as lower than the 10th centile for fetal growth from the 1991 US national reference population. Data from 22 birth cohort studies (14 low-income and middle-income countries) and from the WHO Global Survey on Maternal and Perinatal Health (23 countries) were used to model the prevalence of term-SGA births. Prevalence of preterm-SGA infants was calculated from meta-analyses. Findings: In 2010, an estimated 32·4 million infants were born small for gestational age in low-income and middle-income countries (27% of livebirths), of whom 10·6 million infants were born at term and low birthweight. The prevalence of term-SGA babies ranged from 5·3% of livebirths in east Asia to 41·5% in south Asia, and the prevalence of preterm-SGA infants ranged from 1·2% in north Africa to 3·0% in southeast Asia. Of 18 million low-birthweight babies, 59% were term-SGA and 41% were preterm-SGA. Two-thirds of small-for-gestational-age infants were born in Asia (17·4 million in south Asia). Preterm-SGA babies totalled 2·8 million births in low-income and middle-income countries. Most small-for-gestational-age infants were born in India, Pakistan, Nigeria, and Bangladesh. Interpretation: The burden of small-for-gestational-age births is very high in countries of low and middle income and is concentrated in south Asia. Implementation of effective interventions for babies born too small or too soon is an urgent priority to increase survival and reduce disability, stunting, and non-communicable diseases. Funding: Bill & Melinda Gates Foundation by a grant to the US Fund for UNICEF to support the activities of the Child Health Epidemiology Reference Group (CHERG). © 2013 Lee et al. Source

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