Top PDF An Emerge Approach in Inter Cluster Similarity for Quality Clusters

An Emerge Approach in Inter Cluster Similarity for Quality Clusters

An Emerge Approach in Inter Cluster Similarity for Quality Clusters

Abstract: Relationship between the datasets is one most important issue in recent years. The recent methods are based mostly on the numerical data, but these methods are not suitable for real time data such as web pages, business transactions etc., which are known as Categorical data. It is difficult to find relationship in categorical data. In this paper, a new approach is proposed for finding the relationship between the categorical data, hence to find relationship between the clusters. The main aim is to identify the quality clusters based on the relationship between clusters. If there is no relationship between clusters then those clusters are treated as quality clusters.
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Analysis of Inter cluster movement based on geometric probability and regression

Analysis of Inter cluster movement based on geometric probability and regression

One of the behaviors of the clustering system is the movement of points between clusters to accommodate a new entrée. A probabilistic based approach wrapped with the prediction based on regression would emerge as model to forecast this cluster migration, which in turn serves to avoid repeated re-run of clustering algorithm. Thus, this possible clustering system dynamics was viewed within the purview of geometric probability and regression. On experimental results and analysis, it was inferred that an increasing relative error is due to increasing the size of the clusters and dimensions of the data. However, the variations are with significantly acceptable lower error rate and can easily be controlled.
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An Efficient Approach for Data Gathering and Sharing with Inter Node Communication in Mobile-Sink

An Efficient Approach for Data Gathering and Sharing with Inter Node Communication in Mobile-Sink

The process of grouping the sensor nodes in a densely deployed large-scale sensor network is known as clustering. The intelligent way to combine and compress the data belonging to a single cluster is known as data aggregation in cluster based environment. There are some issues involved with the process of clustering in a wireless sensor network. First issue is, how many clusters should be formed that could optimize some performance parameter. Second could be how many nodes should be taken in to a single cluster. Third important issue is the selection procedure of cluster-head in a cluster. Another issue is that user can put some more powerful nodes, in terms of energy, in the network which can act as a cluster-head and other simple node work as cluster- member only.
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O contributo da análise multivariada no apoio à decisão: um estudo baseado na caraterização de perfis dos clientes da empresa Orona - Algarve

O contributo da análise multivariada no apoio à decisão: um estudo baseado na caraterização de perfis dos clientes da empresa Orona - Algarve

Os clientes considerados Médios Pagadores, foram identificados no perfil 3 e per- tencem maioritariamente ao cluster 6 – Edifícios de Habitação com Administração Externa. Embora não sejam clientes tão preocupantes quanto os anteriores, carecem de um acompanhamento especial por parte da empresa, uma vez que, iniciaram o ano em estudo com valores de dívida na ordem dos 40.000 €, apesar de terminarem o ano com aproximadamente metade desse valor em dívida. Por outro lado, todos os clien- tes deste perfil são clientes com um valor de dívida abaixo do nível crítico de preo- cupação quanto ao incumprimento de pagamentos, isto é, o valor em dívida é inferior ao triplo do valor médio de contrato (critério da empresa).
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Principal component and cluster analyses to evaluate production and milk quality traits

Principal component and cluster analyses to evaluate production and milk quality traits

RESUMO - Objetivou-se com este estudo identificar, por meio da análise de componentes principais e análise de agrupamento, as variáveis capazes de explicar a variabilidade na qualidade e na produção de leite de vacas Holandesas. Foram utilizados dados mensais de controle leiteiro, de três fazendas comerciais localizadas na região Agreste do estado de Pernambuco, Brasil, obtidos no período de 2007 a 2017. Foram analisadas 5.872 informações de produção e componentes do leite, e de escore de células somáticas (SCS), quanto à possibilidade de formação de grupos que pudessem ser destacados pela similaridade e verificar a capacidade discriminante dessas características nos grupos. Os métodos K-means e Ward.D2, baseados na análise da distância euclidiana e dos componentes principais (PCA), foram utilizados para indicar as fontes de variação que diferenciaram os grupos. Foi observado que os primeiros três componentes principais explicaram 79,69% da variabilidade dos dados. A variável que mais contribuiu no primeiro componente foi o teor de sólidos totais com 29,66%. No segundo componente, a lactose, se destacou com uma contribuição de 49,43%. Na análise de agrupamento, três clusters diferiram em relação a todas as características (p<0,001), o cluster 2, por exemplo, concentrou 43,15% (2.534) das informações, agrupando animais com um menor SCS e maior lactose e produção de leite. As variáveis sólidos totais, lactose e gordura foram as que mais contribuíram dentro dos três componentes selecionados. A ACP e agrupamento podem ser ferramentas úteis na obtenção de características efetivas, sendo três fatores considerados importantes para explicar a relação entre produção e qualidade do leite.
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Tipologia sócio-económica das freguesias da Região do Algarve, 1991 - 2001

Tipologia sócio-económica das freguesias da Região do Algarve, 1991 - 2001

Tendo presente os agrupamentos de freguesias definidos para 2001, analisaram-se as diferenças entre os vários clusters no que concerne ao nível de equipamentos e serviços de apoio à população existentes nas freguesias dos vários grupos. Para o efeito, constituiu-se uma base de dados, ao nível da freguesia, para o ano de 2002 22 , com informação da Carta de Equipamentos e Serviços de apoio à população (INE, 2003b). Esta operação estatística do INE permitiu realizar um levantamento ao nível da freguesia de uma rede de equipamentos colectivos (públicos e privados) em áreas tão distintas como a saúde, educação, comércio, acção social, infra-estruturas desportivas e alguns dos principais serviços públicos. A partir da informação recolhida foi possível determinar, entre outros aspectos, se cada freguesia dispõe ou não de um determinado equipamento ou serviço, e no caso de não existência, foi possível determinar quais as freguesias aonde as populações se deslocam para usufruir do equipamento, que distância percorrem, ou se não se deslocam.
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MDX-cc : ambiente de programação paralela aplicado a cluster de clusters

MDX-cc : ambiente de programação paralela aplicado a cluster de clusters

Evidentemente, o uso de uma estrutura de cluster de clusters esbarra em alguns problemas. Um dos principais é a complexidade de programação, principalmente para que seja explorada a possibilidade de ganho de desempenho pelo mapeamento de processos. Deve haver uma análise das necessidades de cada processo, bem como das características de cada agregado. Por exemplo, pode ser interessante que processos que necessitam compartilhar grande quantidade de dados executem em um cluster com rede SCI, que fornece mecanismo de memória compartilhada em hardware. Também pode ser interessante que processos que consomem muita CPU rodem em um cluster com nós mais poderosos, mesmo que tecnologia de rede utilizada seja mais lenta. Esse mapeamento torna a programação bastante complicada, uma vez que pode envolver mais de um modelo de programação (troca de mensagens e memória compartilhada), além de ser necessário o desenvolvimento de um algoritmo eficiente
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Yield and grape must quality of the IAC 138-22 ‘Máximo’ submitted to canopy management

Yield and grape must quality of the IAC 138-22 ‘Máximo’ submitted to canopy management

varied from 3.0 to 3.4, when using upright trellis with height of about 1.3 m (Brighenti et al., 2010). On the other hand, Borghezan et al. (2011), also verified for ‘Merlot’, grown in São Joaquim, Santa Catarina state, little influence of leaf area management on the maturation of the grapes. Similarly, Hernandes et al. (2016) verified that tipping, performed on the ‘Syrah’ grapevine did not influence the soluble solids content. Mota et al. (2010), in the region of Caldas, Minas Gerais state, verified that tipping can be recommended for the cultivar Merlot, aiming at improving the concentration of sugars in the grapes. In Serra Gaúcha region, Miele & Mandelli (2012), evaluating different types of green pruning, verified that the combination of thinning, tipping and leaf removal influenced the production components, resulting in less vegetative development of the grapevines, therefore, this combination is indicated for the elaboration of good quality wines.
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Syndromic surveillance for local outbreaks of lower-respiratory infections: would it work?

Syndromic surveillance for local outbreaks of lower-respiratory infections: would it work?

To our knowledge this is the first study that evaluates the performance of syndromic surveillance with nationwide high coverage data (80–99% of hospitalizations) over a longer period (8 years) with all detected clusters analyzed and (if possible) explained in a systematic way. Feasibility of localized outbreak detection is demonstrated without swamping true signals by excessive false alarms. Some other studies evaluating the performance of space- time syndromic surveillance have concluded differently, but these studies were based on shorter periods, had lower coverage or lacked comparable outbreaks which could be tested [8,23,24]. Cooper et al. tracked the spatial diffusion of influenza and norovirus, using space-time analysis on syndromic data from a telephone help line system in the UK, but did not test space-time detection for more localized outbreaks [23]. Using syndromic surveillance for detection of local gastro-intestinal outbreaks in New York City, Balter et al. found numerous cluster-signals in time, but these could not be used for effective surveillance because of insufficient comparable diagnostic data [8]. Respiratory disease outbreaks could not be evaluated in the NYC study, because no local respiratory outbreaks had been reported in the study period. Nordin et al. used simulated anthrax attack data injected in true physician’s visit data to confirm that a respiratory outbreak initiated by bioterrorism will be detected in a timely manner by syndromic surveillance [24]. However, no results on the number of possibly false alarms were presented. These
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FARS: Fuzzy Ant based Recommender System for Web Users

FARS: Fuzzy Ant based Recommender System for Web Users

Recommender systems are useful tools which provide an adaptive web environment for web users. Nowadays, having a user friendly website is a big challenge in e-commerce technology. In this paper, applying the benefits of both collaborative and content based filtering techniques is proposed by presenting a fuzzy recommender system based on collaborative behavior of ants (FARS). FARS works in two phases: modeling and recommendation. First, user’s behaviors are modeled offline and the results are used in second phase for online recommendation. Fuzzy techniques provide the possibility of capturing uncertainty among user interests and ant based algorithms provides us with optimal solutions. The performance of FARS is evaluated using log files of “Information and Communication Technology Center” of Isfahan municipality in Iran and compared with ant based recommender system (ARS). The results shown are promising and proved that integrating fuzzy Ant approach provides us with more functional and robust recommendations.
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REPOSITORIO INSTITUCIONAL DA UFOP: Elderly patients attended in emergency health services in Brazil: a study for victims of falls and traffic accidents.

REPOSITORIO INSTITUCIONAL DA UFOP: Elderly patients attended in emergency health services in Brazil: a study for victims of falls and traffic accidents.

The analysis was conducted separately for two groups: elderly people who were victims of falls and victims of traffic accidents. For cluster formation, the variables that could define groups for which interventions could be made to prevent falls and traffic accidents were used. Therefore, for the definition of clusters containing fall and traffic accident victims, the following sociode- mographic variables were selected: age (contin- uous), gender (female, male), ethnicity (white, non-white), schooling (0-4 years, 5-8 years, 9-11 years, >12 years), work status (employed or not at the date of occurrence), whether the oc- currence was related to work (yes, no), and the event location (urban, rural, or peri-urban). The vulnerability variable was used when the victim had a permanent disability on the date of the occurrence (yes, no). With regard to the circum- stantial aspects of the event, we used the day of the week (Sunday to Saturday; seven categories) and whether the patient had consumed alcohol within six hours before the occurrence (yes, no). With regard to severity, the variables used were the nature of the injury (no injury, occurrence of bruises, cuts/lacerations, sprains/dislocations, fractures, etc.) and the outcome within 24 hours (discharge, admission, outpatient referral, indi- cation to another service, death, etc.).
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Domainwise Web Page Optimization Based On Clustered Query Sessions Using Hybrid Of Trust And ACO For Effective Information Retrieval

Domainwise Web Page Optimization Based On Clustered Query Sessions Using Hybrid Of Trust And ACO For Effective Information Retrieval

in online service oriented environment. ACO is a nature in- spired metaheuristic for the solution of hard combinatorial op- timisation (CO) problems. A metaheuristic is a general- purpose algorithmic framework that defines the heuristic me- thods which can be applied to different optimization problems with relatively few modifications. [27][29][28][30] ACO has been used to solve many optimisation problems such as se- quential ordering [21], scheduling [6], assembly line balancing [7], probabilistic travelling salesman problem (TSP) [35] , DNA sequencing [8] , 2D-HP protein folding [3] and protein-ligand docking [33]. In [31] Ant Colony Optimization (ACO) is applied to build query association graphs from the query logs for the purpose of query recommendation. In [48] clustering based on ants is used to access to a variety of collaborative learning agent groups so as to fully mobilize the enthusiasm of colla- borative learning team members. In [62] the ant colony opti- mization is applied on the log data to build an adaptive domain model automatically in order to satisfy user‘s information re- quest effectively in more structured collections such as digital libraries, local Web sites, and intranets. In [39] combination of ant based clustering and fuzzy c-means is proposed. In [57] model is proposed which combines the ACO and Fuzzy logic to generate the list of recommendations to online users based on the comparison of the user‘s navigational behavior with other user‘s data. In [47] an ACO algorithm is developed called Ant-Recommender System which sense pheremones found on their clusters in order to determine the best cluster for re- commending the items with in clusters of user profiles. In [36] recommender system is proposed based on collaborative be- havior of ants by integrating trust between users. The hybrid of ACO and trust has
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Semantic Based Cluster Content Discovery in Description First Clustering Algorithm

Semantic Based Cluster Content Discovery in Description First Clustering Algorithm

The study is evaluated by performing experiments on several datasets. In each experiment it gives us better results as compared to existing methodology; while it is used to find cluster contents. It assigns the documents to appropriate labels and reduces the group of un- assigned documents named “Others”. It can be observed clearly that our proposed methodology in which we have found the contents of clusters by using LSI has reduced the topic of others remarkably. It has also been observed in the results that our technique has grouped the documents in the most relevant cluster. In Fig. 2, a significant change in group of others comparison among three datasets D1, D2, D3 is shown.
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Cad. Saúde Pública  vol.26 número3

Cad. Saúde Pública vol.26 número3

The objective of this study was to estimate the evolution of the burden of disease in Cuba for 20 major causes at five year intervals from 1990 to 2005, in terms of mortality and years of life lost due to premature death ( YLL), using national mortality registries. Six summary measures were computed for each of the 20 major causes of death which characterized the evolution of the disease burden over the period studied. The 20 causes were then grouped according to their behaviour in these summary measures; hierarchical cluster analysis was used to support this grouping pro- cess. We compute YLL results with and without age-weighting and time discounting (3%). The 20 major causes were grouped into 12 subgroups, each with a particular pattern. The burden of dis- ease in Cuba during the period 1990-2005 has a peculiar pattern that does not reproduce the one characteristic of other low- and middle-income countries. The approach used in this study sup- ports a better description of mortality and YLL trends for major causes, for identifying possible explanations, and for supporting public health policy making. It seems convenient to reproduce this analysis using shorter time intervals, e.g. an- nually.
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Exploring tRNA gene cluster in archaea

Exploring tRNA gene cluster in archaea

The 29 genomes harboring the tRNA gene clusters correspond to 18 species and seven spp. belonging to 11 archaea genera, all from Euryarchaeota supergroup, including Haloarcula, Halobellus, Halobiforma, Halo- granum, Halomicrobium, Halopenitus, Haloplanus, Hal- orientalis, Halorubrum, Methanobrevibacter, and Meth- anosarcina. The latter two genera are from methanogenic archaea, while the others, halophilic. Analysing the se- quences of the tRNA genes in the clusters, we observed that all but Methanosarcina are archaeal-type tRNAs. The phylogenetic analysis revealed that all genomes from Halorubrum genus but Halorubrum vacuolatum DSM 8800 and Halorubrum sp. BV1, belong to a single lineage as well as the two genomes from Methanosarcina mazei (Fig. 1). Strains harboring tRNA gene clusters with a same tRNA amino acid isotype pattern were isolated from different geographic locations, even considering species from the same lineage (Table). Despite the evo- lutionary relationship among some strains, their tRNA isotype organisation and genomic context differ substan- tially (Figs 1-2). Interestingly, 23/29 and 6/29 tRNA gene clusters were identified among 239 halophilic and 618
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Inter-industry relations and agglomeration economies in Brazil: an approach based on firm creation

Inter-industry relations and agglomeration economies in Brazil: an approach based on firm creation

Models with different specifications were estimated. Based on the most parsimonious specification, column 1 outlines the regression results obtained when using the different agglomeration mechanisms simultaneously, without using control variables. The results of the OLS and GMM models are found in columns 2 and 3, respectively, which include the control variables for the use of natural resources, technological intensity, mean firm size and regions. The analysis of the last specification reveals that the estimates obtained using OLS and the GMM indicate no considerable variation in terms of magnitude, parameter sign and standard deviation. However, as previously discussed, the literature warns of the likely endogeneity between agglomeration economies and agglomeration mechanisms, which suggests the need for an estimation method considering that characteristic, such as the GMM. Furthermore, the robustness of estimates obtained by the GMM is demonstrated by the results of the endogeneity tests, which confirm the exogeneity of the model variables after including instrumental variables, and those of the Sargan–Hansen test, which suggest not rejecting the null hypothesis of exogeneity of the instrumental variables used.
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Proposta de um sistema de medição de desempenho para clusters industriais de pequenas...

Proposta de um sistema de medição de desempenho para clusters industriais de pequenas...

Outro elemento importante para o sistema de medição de desempenho é a coordenação local dos projetos de melhoria contínua. Inclusive o próprio projeto de avaliação e medição de desempenho do cluster. Uma das lacunas dos clusters industriais é que a infra-estrutura organizacional (processos e atividades) do processo de gestão de desempenho do cluster dificilmente são desenvolvidas e utilizadas para gerenciar o processo de inovação contínua. Essa limitação interfere na definição e integração das métricas com as atividades do processo de gestão do cluster (NEELY et al., 1995). Considerando que essa é uma situação bastante comum não só em cluster, mas também em incubadoras de empresas, parques tecnológicos, distritos industriais e redes regionais de cooperação, pode-se afirmar que com a participação dos usuários no desenvolvimento da proposta essa deficiência pode ser contornada temporalmente. Isto só pode ocorrer no início da rede de cooperação porque a medida que uma rede cooperação cresce as atividades tornam-se mais complexas e portanto a informalidade na gestão pode trazer problemas para a própria rede. Neste sentido, a coordenação local deve dar suporte ao processo de coleta, criação, conduzir, estruturar, integrar e validar a medição de desempenho no cluster (CHANG e MORGAN, 2000). Torna- se fundamental estimular por meio de eventos e atividades o capital social (confiança e cooperação) do cluster.
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Managament quality of tools in the planned housing casting

Managament quality of tools in the planned housing casting

Subbotko, Methods of distribution of tool at units based on TM software of Guhring, Production Engineering Wroc ł aw University of Technology,(2006) 273- 280 (in Polish).. Bocheński, C[r]

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TRABALHO INTERDISCIPLINAR: PROMOVER O PENSAMENTO CRIATIVO

TRABALHO INTERDISCIPLINAR: PROMOVER O PENSAMENTO CRIATIVO

O projeto Erasmus+ DT.Uni – Abordagem do Design Thinking para uma Universidade Interdisciplinar (DT.Uni – Design Thinking Approach for an Interdisciplinary University) reúne um consórcio de oito países europeus na promoção da interdisciplinaridade e inovação no ensino superior, numa parceria que engloba as seguintes instituições: Uniwersytet Marii Curie- Skłodowskiej (Polónia), Birmingham City University (Inglaterra), Universita degli Studi di Roma La Sapienza (Itália), Universiteit van Amsterdam (Países Baixos), Ekonomicka Univerzita v Bratislave (Eslováquia), Háskólinn á Bifröst (Islândia), Technische Universitaet Dresden (Alemanha) e o Instituto Politécnico da Guarda (Portugal). De acordo com os objetivos do projeto, foram definidos e realizados, por cada um dos parceiros, vários seminários (englobados em multiplier events, de acordo com a prática dos projetos Erasmus+) sobre design thinking (DT), tendo como matriz a formação realizada na Universidade Técnica de Dresden, Alemanha. De acordo com a estratégia delineada e os objetivos definidos, a equipa DT.Uni do Instituto Politécnico da Guarda (IPG) planeou e realizou três seminários, em julho, outubro e dezembro de 2018, que permitiram a docentes e investigadores do ensino superior terem um primeiro contacto com o DT como abordagem para um ensino inovador.
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Application of Rhetorical Relations Between Sentences to Cluster-Based Text Summarization

Application of Rhetorical Relations Between Sentences to Cluster-Based Text Summarization

This paper investigated the relevance and benefits of the rhetorical relation for summary generation. We proposed the application of rhetorical relations exist between sentences to improve extractive summarization for multiple documents, which focused on the extraction of salient sentences and redundancy elimination. We first examined the rhetorical relations from Cross-document Theory Structure (CST), then selected and redefined the relations that benefits text summarization. We extracted surfaces features from annotated sentences obtained from CST Bank and performed identification of 8 types of rhetorical relations using SVMs. Then we further our work on rhetorical relations by exploiting the benefit of rhetorical relation to similar text clustering. The evaluation results showed that the rhetorical relation-based method has promising potential as a novel approach for text clustering. Next, we extended our work to cluster-based text summarization. We used ranking algorithm that take into account the cluster-level information, Cluster-based Conditional Markov Random Walk (Cluster-based CMRW) to measure the saliency score of sentences. For DUC'2001, our proposed method, RRCluster1performed significantly well for ROUGE-1 and ROUGE-2 score with highest score of 0.3602 and 0.0736, respectively. Meanwhile, RRCluster1gained the best score of ROUGE-2 with 0.0873 for DUC'2002. This work has proved our theory that rhetorical relations can benefit the similar text clustering. With further improvement, the quality of summary generation can be enhanced. From the evaluation results, we concluded that the rhetorical relations are effective to improve the ranking of salient sentences and the elimination of redundant sentences. Furthermore, our system does not rely on fully annotated corpus and does not require deep linguistic knowledge.
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