|
|
|
|
|
Sasha Petrenko, Daniel B. Hier, Mary A. Bone, Tayo Obafemi-Ajayi, Erik J. Timpson, William E. Marsh, Michael Speight and Donald C. Wunsch II
Biomedical datasets distill many mechanisms of human diseases, linking diseases to genes and phenotypes (signs and symptoms of disease), genetic mutations to altered protein structures, and altered proteins to changes in molecular functions and biologica...
ver más
|
|
|
|
|
|
|
|
|
|
|
Changro Lee
Pág. 30 - 40
Although clustering analysis is a popular tool in unsupervised learning, it is inefficient for the datasets dominated by categorical variables, e.g., real estate datasets. To apply clustering analysis to real estate datasets, this study proposes an entit...
ver más
|
|
|
|
|
|
|
|
|
|
|
Luis Ariosto Serna Cardona, Hernán Darío Vargas-Cardona, Piedad Navarro González, David Augusto Cardenas Peña and Álvaro Ángel Orozco Gutiérrez
The recurrent use of databases with categorical variables in different applications demands new alternatives to identify relevant patterns. Classification is an interesting approach for the recognition of this type of data. However, there are a few amoun...
ver más
|
|
|
|
|
|
|
|
|
|
|
Carmen Herrero,Antonio Villar
Pág. 9 - 30
|
|
|
|
|
|
|
|
|
|
|
Helani Perera, Nipuna Senaratne, Miyuru B. Gunathilake, Nitin Mutill and Upaka Rathnayake
Satellite Rainfall Products (SRPs) are now in widespread use around the world as a better alternative for scarce observed rain gauge data. Upon proper analysis of the SRPs and observed rainfall data, SRP data can be used in many hydrological applications...
ver más
|
|
|
|
|
|
|
|
|
|
|
Aibing Jin, Prabhat Basnet and Shakil Mahtab
In deep engineering, rockburst hazards frequently result in injuries, fatalities, and the destruction of contiguous structures. Due to the complex nature of rockbursts, predicting the severity of rockburst damage (intensity) without the aid of computer m...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xin Geng, Yinghong Wen, Zhisong Mo and Yu Liu
The construction of multilayer rail transit systems is a necessary way to realize ?modern metropolitan areas on rail?, improve resource sharing, and increase travel services, where data integration is of utmost importance. To break data silos and realize...
ver más
|
|
|
|
|
|
|
|
|
|
|
Cheng-Hui Chen, Chen-Kun Tsung and Shyr-Shen Yu
The rarity of equipment failures results in a high level of imbalance between failure data and normal operation data, which makes the effective classification and prediction of such data difficult. Furthermore, many failure data are dominated by mixed da...
ver más
|
|
|
|
|
|
|
|
|
|
|
D.A. Safronov,Y.D. Kazer,K.S. Zaytsev
Pág. 39 - 45
The purpose of this work is to reduce the cost of troubleshooting digital equipment by improving anomaly recognition methods based on the use of autoencoders. To do this, the authors propose to use two types of autoencoders: a deep feed-forward autoencod...
ver más
|
|
|
|
|
|
|
|
|
|
|
D.A. Safronov,Y.D. Kazer,K.S. Zaytsev
Pág. 39 - 45
The purpose of this work is to reduce the cost of troubleshooting digital equipment by improving anomaly recognition methods based on the use of autoencoders. To do this, the authors propose to use two types of autoencoders: a deep feed-forward autoencod...
ver más
|
|
|
|
|
|
|
|
|
|
|
Iván Fredy Jaramillo, Javier Garzás and Andrés Redchuk
Association rule mining has been studied from various perspectives, all of which have made valuable contributions to data science. However, there are promising research lines, such as the inclusion of continuous variables and the combination of numerical...
ver más
|
|
|
|
|
|
|
|
|
|
|
Joan Mas?, Alaitz Zabala and Xavier Pons
Despite huge progress in applying Earth Observation (EO) satellite data to protected areas, managers still lack the right tools or skills to analyze the data and extract the necessary knowledge. In this paper a set of EO products are organized in a visua...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
Peter J Mitchell, John Aldridge and Markus Diesing
Sediment maps developed from categorical data are widely applied to support marine spatial planning across various fields. However, deriving maps independently of sediment classification potentially improves our understanding of environmental gradients a...
ver más
|
|
|
|
|
|
|
|
|
|
|
Daqian Wei, Bo Wang, Gang Lin, Dichen Liu, Zhaoyang Dong, Hesen Liu and Yilu Liu
This paper documents the condition-based maintenance (CBM) of power transformers, the analysis of which relies on two basic data groups: structured (e.g., numeric and categorical) and unstructured (e.g., natural language text narratives) which accounts f...
ver más
|
|
|
|
|
|
|
|
|
|
|
Andri Permana Wicaksono, Tessy Badriyah, Achmad Basuki
Pág. 164 - 178
Mellitus Diabetes is an illness that happened in consequence of the too high glucose level in blood because the body could not release or use insulin normally. The purpose of this research is to compare the two methods in The data-mining, those are a Reg...
ver más
|
|
|
|
|
|
|
|
|
|
|
Amit Yadav, Li Hui, Mohsin Ali, Maria Anis
Pág. 2720 - 2730
Patient data had been collected from the hospital of Nepal with the help of hospital administration, doctors and patient cooperation. Data scrutiny attempts to shows the significant relationship between disease and factors causal of disease. Research exp...
ver más
|
|
|
|
|
|
|
|
|
|
|
Deepanjal Shrestha, Tan Wenan, Deepmala Shrestha, Neesha Rajkarnikar and Seung-Ryul Jeong
This study introduces a data-driven and machine-learning approach to design a personalized tourist recommendation system for Nepal. It examines key tourist attributes, such as demographics, behaviors, preferences, and satisfaction, to develop four sub-mo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kate Carlson, Barbara P. Buttenfield and Yi Qiang
Quantification of all types of uncertainty helps to establish reliability in any analysis. This research focuses on uncertainty in two attribute levels of wetland classification and creates visualization tools to guide analysis of spatial uncertainty pat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhu Liang, Weiping Peng, Wei Liu, Houzan Huang, Jiaming Huang, Kangming Lou, Guochao Liu and Kaihua Jiang
Shallow landslides pose serious threats to human existence and economic development, especially in the Himalayan areas. Landslide susceptibility mapping (LSM) is a proven way for minimizing the hazard and risk of landslides. Modeling as an essential step...
ver más
|
|
|
|
|
|