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Bunjira Makond, Pornsarp Pornsawad and Kittisak Thawnashom
Osteoporosis is still a serious public health issue in Thailand, particularly in postmenopausal women; meanwhile, new effective screening tools are required for rapid diagnosis. This study constructs and confirms an osteoporosis screening tool-based deci...
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Zainatul Fadilah,Murnawan Murnawan
Pág. 9 - 15
As time goes by, the data owned by a sector will accumulate if not used properly. To process large-scale data, we need a technique called data mining. Data mining can process large-scale data quickly so that many sectors use this technique for clas...
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Arnis Stasko,Ilze Birzniece,Girts Kebers
Pág. 45 - 59
This article addresses the financial performance prediction for Latvian companies. It is of critical importance to be able to provide timely warnings to management, investors, employees, stakeholders and other interested parties who wish to reduce their ...
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Mohammad Vahid Sebt,Elahe Komijani,Shiva S. Ghasemi
Pág. pp. 157 - 174
Nowadays, the banking system is known as one of the inherent sectors of customer relationship management systems. Its main advantage is to redesign a more responsive organization to satisfy the customers. The banking system aims to improve the structure ...
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Mahmood Ahmad, Naser A. Al-Shayea, Xiao-Wei Tang, Arshad Jamal, Hasan M. Al-Ahmadi and Feezan Ahmad
Predicting pillar stability in underground mines is a critical problem because the instability of the pillar can cause large-scale collapse hazards. To predict the pillar stability for underground coal and stone mines, two new models (random tree and C4....
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Radius Tanone,Hendra Budi Prasetya
Pág. pp. 134 - 149
The development of food and beverage products increases over the years. The high level of food consumption led to the presence of new food and beverage brands produced in Salatiga. In accordance with this fact, Organoleptic Tests or in other words evalua...
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Andrea Brunello, Enrico Marzano, Angelo Montanari and Guido Sciavicco
Temporal information plays a very important role in many analysis tasks, and can be encoded in at least two different ways. It can be modeled by discrete sequences of events as, for example, in the business intelligence domain, with the aim of tracking t...
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Marcin Blachnik, Marek Soltysiak and Dominika Dabrowska
The construction of transport infrastructure is often preceded by an environmental impact assessment procedure, which should identify amphibian breeding sites and migration routes. However, the assessment is very difficult to conduct because of the large...
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Sergio R. Coria,Carlos Gay-García,Lourdes Villers-Ruiz,Adolfo Guzmán-Arenas,Óscar Sánchez-Meneses,Oswaldo R. Ávila-Barrón,Mónica Pérez-Meza,Xóchitl Cruz-Núñez,Gilberto Lorenzo Martínez-Luna
Pág. 359 - 377
This article proposes a methodology to discover patterns in observed climatologic data, particularly temperatures and rainfall, in subnational political division units using an automatic classification algorithm (a decision tree produced by the C4.5 algo...
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Erna Sri Rahayu,Romi Satria Wahono,Catur Supriyanto
Pág. 91 - 97
C4.5 is a supervised learning classifier to establish a Decision Tree of data. Split attribute is main process in the formation of a decision tree in C4.5. Split attribute in C4.5 can not be overcome in any misclassification cost split so the effect on t...
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