1,720,957 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
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
MONOGRAF ANALISIS KOMPARATIF MACHINE LEARNING UNTUK KLASIFIKASI KEJADIAN STUNTING
No full textLatar Belakang Penggunaan pembelajaran mesin sangat dibutuhkan oleh para ahli kesehatan sebagai pengolahan data dan informasi agar lebih mudah dianalisis secara otomatis sehingga menghasilkan akurasi dalam menyelesaikan masalah, penerapan Machine Learning dengan algoritma 3 komparatif untuk menyelesaikan masalah stunting karena balita di Indonesia masih tinggi, terutama pada usia 2 -3 tahun. Terlihat dari sejumlah faktor yang berisiko menyebabkan stunting. Instrumen diperlukan dalam Pembelajaran Mesin. Tujuannya (1). Selain memberikan pengetahuan di bidang Informatika, hal ini juga berguna bagi para pakar kesehatan dalam mengelola data dalam mengambil keputusan sehingga memudahkan serta analisis secara otomatis. (2) Dapat mengurangi dampak pada kejadian stunting. Metode Perbandingan tiga algoritma dalam klasifikasi hasil dari tiga algoritma yang dibandingkan menghasilkan akurasi 87.91% AUC 0,907 untuk algoritma Decision Tree dengan tingkat diagnosis excellent classification, dari Algoritma KNN dan Algoritma Naïve Bayes yang menggunakan 13 variabel data
Comparative Analysis of Machine Learning Algorithms for classification about Stunting Genesis
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PENERAPAN OPTIMASI PSO UNTUK MENINGKATKAN AKURASI ALGORTIMA ID3 PADA PREDIKSI PENYAKIT IBU HAMIL
Get PDFIndustri di bidang kesehatan saat ini memiliki sejumlah pusat data yang besar, dari beberapa data sebagian belum dioptimalkan dalam pengolahannya, sehingga informasi didapat tidak dapat di jadikan referensi di dalam pengambilan keputusan oleh pakar di bidang kesehatan. Pre eklampsia pada ibu hamil adalah satu penyakit ibu hamil yang perlu di waspadai di Indonesia karena menjadi penyebab utama kematian ibu dan janin. Penggunaan Data Mining dalam memprediksi sangat diperlukan sehingga praktisi kesehatan dapat dengan mudah dalam pengambilan keputusan. Diperolehnya informasi dalam menerapkan optimasi particle swarm optimization pada algoritma ID3 (Iterative Dichotomiser Three) untuk meningkatkan keakuratan dalam memprediksi penyakit pre eklampsia pada ibu hamil. Algoritma Decision Tree salah satunya ID3, dapat digunakan untuk memprediksi penyakit Pre Eklamsia. Namun masih ada ruang untuk meningkatkan akurasi, yaitu dengan mengoptimasi algoritma ID3 dengan Particle Swarm Optimization (PSO). Data latih dan testing menggunakan dua metode yang pertama adalah Algoritma ID3 kemudian Algoritma ID3 menggunakan optimasi Particle Swarm Optimization (PSO) dari kedua hasil tersebut didapat yang pertama Algoritma ID3 dengan tingkat akurasi sebesar 90.62% dan AUC sebesar 0.857 menghasilkan diagnosanya adalah Good Classification, hasil yang kedua didapatkan tingkat akurasi sebesar 93.33% dengan AUC sebesar 0,906 dari Algortima ID3 dengan optimasi Particle Swarm Optimization hasil tingkat diagnosanya adalah diagnosa Excelent Classification. Dari hasil kedua metode memiliki perbedaan mulai dari tingkat akurasi 3,07% kemudian AUC 0,049
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
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