1,720,960 research outputs found
Analysis of Definite Integral Material Topics for Improve Student Learning Using Apriori Algorithm
Get PDFDefinite Integral is one of the most important subjects in calculus. The use of integrals that must be studied is calculating the area and drawing curves based on the equation of functions. However, there are still many students have difficult to understand integral material, especially definite integral. Most students have difficult to understand Integral learning because they do not understand the basic and material that needs to be mastered. The purpose of this study is to find a pattern of relationship to the understanding the topic of integral material about calculation and drawing of integral curves using apriori algorithm. Apriori algorithms can be used to determine learning patterns and linkages between definite integral material. Apriori algorithms can be used to determine learning patterns and linkages between definite integral material. The results of this study indicate that understanding of the material is the topic of calculation with 1 functional equation and 2 functional equations, and the depiction of integral curves at X and Y coordinates with a confidence value of 96% and basic integral material such as understanding basic integral techniques, definite integral formulas, calculations and curve depiction on cartesian diagram coordinates X and Y with a confidence value of 76%
Pendekatan Algoritma K-Means dan Algoritma Apriori untuk Penentuan Aturan Asosiasi
No full textThe more increasing amount of data will be unusefull if it’s not analyzed to achieve a
new information.To achieve a more powerful information from a collection of dataset,
then it’s needed to dig more information from the dataset. This process is called data
mining. Data mining is an efficient method for detecting several kinds of problem to
determine an important pattern in a dataset, one of them is Frequent Itemset Mining
(FIM). Frequent Itemsets make an important role in many data mining problem which
try to determine important role from database.One kind of algorithm that is usually
used in mining data is Apriori algorithm. Apriori is a part of association rule which is
used to determine associative relation of a combination of item. Apriori algorithm
could be implemented if there are several relation on items that will be analyzed. But,
the information achieved in Apriori algorithm isn’t detailed and uncompleted.
Therefore, we could combine K-Means algorithm with Apriori algorithm. The testing
result shows that the combination method of K-Means algorithm and Apriori
algorithm will achieve a more detailed and complete information. Besides, the
execution times needed for this combination method is less than implemented the
Apriori algorithm directly.Ketersediaan data yang terus bertambah akan menjadi tidak berguna jika tidak
dimanfaatkan dan di analisa kembali untuk mendapatkan sebuah informasi baru.
Untuk memperoleh informasi yang lebih berguna dari sekumpulan dataset, maka perlu
dilakukan pengolahan terhadap dataset tersebut. Proses ini sering disebut sebagai data
mining. Data mining merupakan metode yang efesien untuk mendeteksi beberapa
jenis problem untuk menentukan pola yang penting dalam sekumpulan data, salah satu
diantaranya adalah Frequent Itemsets Mining (FIM). Frequent Itemsets berperan
penting di banyak permasalahan data mining yang mencoba menentukan pola penting
dari dalam database. Salah satu algoritma yang sering digunakan dalam proses data
mining adalah algoritma Apriori. Apriori merupakan bagian dari association rule yang
digunakan untuk menentukan hubungan asosiatif suatu kombinasi item. Algoritma
apriori ini akan cocok untuk diterapkan bila terdapat beberapa hubungan item yang
ingin dianalisa. Namun, informasi yang dihasilkan algoritma Apriori masih kurang
mendetail dan kurang lengkap. Oleh karena itu, dapat dilakukan penggabungan antara
algoritma K-Means dengan algoritma Apriori. Hasil pengujian yang dilakukan
menunjukkan bahwa gabungan algoritma K-Means dan algoritma Apriori akan
menghasilkan informasi yang lebih mendetail dan lengkap. Selain itu, waktu eksekusi
yang diperlukan oleh metode gabungan ini juga jauh lebih sedikit jika dibandingkan
dengan penerapan algoritma Apriori secara langsung.100 HalamanTesis Magiste
Analysis of Definite Integral Material Topics for Improve Student Learning Using Apriori Algorithm
Get PDFDefinite Integral is one of the most important subjects in calculus. The use of integrals that must be studied is calculating the area and drawing curves based on the equation of functions. However, there are still many students have difficult to understand integral material, especially definite integral. Most students have difficult to understand Integral learning because they do not understand the basic and material that needs to be mastered. The purpose of this study is to find a pattern of relationship to the understanding the topic of integral material about calculation and drawing of integral curves using apriori algorithm. Apriori algorithms can be used to determine learning patterns and linkages between definite integral material. Apriori algorithms can be used to determine learning patterns and linkages between definite integral material. The results of this study indicate that understanding of the material is the topic of calculation with 1 functional equation and 2 functional equations, and the depiction of integral curves at X and Y coordinates with a confidence value of 96% and basic integral material such as understanding basic integral techniques, definite integral formulas, calculations and curve depiction on cartesian diagram coordinates X and Y with a confidence value of 76%
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
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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