1,720,954 research outputs found
IMPLEMENTATION OF DATA MINING FOR CLUSTERING DISASTERPRONE AREAS IN SOUTH SUMATRA USING K-MEANS ALGORITHM
Full text linkIndonesia is a country that has a natural structure consisting of the meeting of
tectonic plates. This has resulted in many regions in Indonesia being very
vulnerable to natural disasters, one of which is the Province of South Sumatra. This
study aims to group disaster-prone areas in South Sumatra by utilizing the data
mining process using the Clustering technique. The algorithm used for cluster
formation is the K-Means algorithm. K-Means is one of the non-hierarchical
clustering data methods that can group disaster data into several clusters based on
the similarity of the data, so that disaster data with the same characteristics are
grouped in one cluster and those with different characteristics are grouped in
another cluster. The results of this study are groups of disaster-prone areas based
on three categories, namely low disaster-prone areas, moderate disaster-prone
areas and high disaster-prone areas. This research is expected to be additional
information for the government in the process of disaster management in South
Sumatra.
Keywords: Natural Disaster, Data Mining, K-Means, Clustering, Disaster Pron
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Pengelompokan Daerah Rawan Bencana di Sumatera Selatan Menggunakan Algoritma K-Means
No full textIndonesia merupakan negara yang terletak di wilayah pertemuan berbagai lempeng tektonik, sehingga banyak daerahnya memiliki tingkat kerawanan tinggi terhadap bencana alam, termasuk di Provinsi Sumatera Selatan. Penelitian ini bertujuan untuk mengelompokkan wilayah-wilayah rawan bencana di Sumatera Selatan dengan menerapkan teknik data mining menggunakan metode clustering. Algoritma yang digunakan dalam pembentukan klaster adalah K-Means, sebuah metode clustering non-hierarkis yang mampu mengelompokkan data berdasarkan tingkat kesamaan. Data bencana yang memiliki karakteristik serupa akan dikelompokkan dalam satu klaster, sedangkan data dengan karakteristik berbeda akan dimasukkan ke klaster lainnya. Hasil penelitian ini menghasilkan pengelompokan daerah rawan bencana ke dalam tiga kategori, yaitu daerah dengan tingkat kerawanan rendah, sedang, dan tinggi. Temuan ini diharapkan dapat menjadi informasi tambahan yang berguna bagi pemerintah dalam upaya penanggulangan bencana di Sumatera Selatan
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe 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
Full text linkWe 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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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