1,720,973 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
An Adaptive Harmony Search Approach for Gene Selection and Classification of High Dimensional Medical Data
No full textIn Bioinformatics, microarray data analysis has gained substantial attention for disease diagnosis. Microarray data is represented with a huge search space which imposes the foremost difficulties in selection of most relevant facts in terms of genes. In this esteem, we have recommended a hybridised harmony search and Pareto optimization approach for feature selection in high dimensional data classification problem. In the first stage an adaptive harmony search algorithm for gene selection with probability distribution factor for optimal gene ranking is implemented. This selection is further refined applying a bi-objective Pareto based feature selection technique to select optimal minimum number of top ranked genes. The importance and relevance of the selected genes are verified through a few numbers of classifiers. Experimental analysis is conducted over four well known microarray datasets. Finally statistical analysis is conducted to prove the superiority of proposed work with two other nature inspired algorithms. Simulation result reveals that the proposed hybridisation is providing high potentiality in both sample classification and feature subset prediction prospective for high dimensional databases
A two stage grading approach for feature selection and classification of microarray data using Pareto based feature ranking techniques: A case study
No full textHigh dimensional search space in microarray data with large number of genes and few dozen of samples increases the complexity of analysis of such databases. All the genes are not significant and hence informative genes are required to be extracted. So dimension reduction is necessary for this process. It is often found in literature that the ranking approaches are used for feature selection. Different ranking techniques may assign different rank to the same gene and the selection made based on these ranks may not be suitable for different problems. So use of one ranking technique may lead to rejection of some important genes and possibly selection of some insignificant genes. Such selection may degrade the performance of the classifier. To overcome this problem, here a bi-objective ranked based Pareto front technique is proposed. In this technique using two ranked based technique the Pareto optimal solution is generated with a set of features. For the experimental work, 21 models based on 7 feature ranking strategies are considered. Eight different microarray data are taken to find the suitable ranking combination for the work. A grading method is used to rank the models and statistical test is performed to validate the findings. Keywords: Feature ranking technique, Statistical analysis, Pareto front, Multi-objective optimization, Classification technique, Microarray databas
Variations on the Author
Get PDF“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
Get PDFWe 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
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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