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Pejman Ebrahimi, Marjan Basirat, Ali Yousefi, Md. Nekmahmud, Abbas Gholampour and Maria Fekete-Farkas
The purpose of this paper is to reveal how social network marketing (SNM) can affect consumers? purchase behavior (CPB). We used the combination of structural equation modeling (SEM) and unsupervised machine learning approaches as an innovative method. T...
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Hugo Silva and Jorge Bernardino
Decision support systems with machine learning can help organizations improve operations and lower costs with more precision and efficiency. This work presents a review of state-of-the-art machine learning algorithms for binary classification and makes a...
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Zhenzhen Di, Miao Chang, Peikun Guo, Yang Li and Yin Chang
Most worldwide industrial wastewater, including in China, is still directly discharged to aquatic environments without adequate treatment. Because of a lack of data and few methods, the relationships between pollutants discharged in wastewater and those ...
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Sungjin Park and Sangkyun Kim
Clustering is widely used in client-facing businesses to categorize their customer base and deliver personalized services. This study proposes an algorithm to stochastically search for an optimum solution based on the outcomes of a data clustering proces...
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Laith Abualigah, Amir H. Gandomi, Mohamed Abd Elaziz, Abdelazim G. Hussien, Ahmad M. Khasawneh, Mohammad Alshinwan and Essam H. Houssein
Text clustering is one of the efficient unsupervised learning techniques used to partition a huge number of text documents into a subset of clusters. In which, each cluster contains similar documents and the clusters contain dissimilar text documents. Na...
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Sebastian Böttcher, Philipp M. Scholl and Kristof Van Laerhoven
Authoring protocols for manual tasks such as following recipes, manufacturing processes or laboratory experiments requires significant effort. This paper presents a system that estimates individual procedure transitions from the user?s physical movement ...
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Raul Malutan,Pedro Gomez Vilda,Monica Borda
Pág. 99 - 103
This work shows how one can determine an optimal combination of clustering algorithms by performing a hybrid biclustering of data with unsupervised methods, and how to extract coherent and typically small clusters of genes that vary as much as possible a...
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Amna Al-Sayed, Mashael M. Khayyat and Nuha Zamzami
Different data types are frequently included in clinical data. Applying machine learning algorithms to mixed data can be difficult and impact the output accuracy and quality. This paper proposes a hybrid model of unsupervised and supervised learning tech...
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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...
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Zhongao Lu, Lijun Qi, Hao Zhang, Junjie Wan and Jiarui Zhou
Obtaining canopy area, crown width, position, and other information from UAV aerial images and adjusting spray parameters in real-time according to this information is an important way to achieve precise pesticide application in orchards. However, the na...
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Michael Heigl, Enrico Weigelt, Dalibor Fiala and Martin Schramm
Over the past couple of years, machine learning methods?especially the outlier detection ones?have anchored in the cybersecurity field to detect network-based anomalies rooted in novel attack patterns. However, the ubiquity of massive continuously genera...
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María Consuelo Sáiz-Manzanares, Ismael Ramos Pérez, Adrián Arnaiz Rodríguez, Sandra Rodríguez Arribas, Leandro Almeida and Caroline Françoise Martin
In recent decades, the use of technological resources such as the eye tracking methodology is providing cognitive researchers with important tools to better understand the learning process. However, the interpretation of the metrics requires the use of s...
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Spyros Kouzoupis, Andreas Neocleous and Irene Athanassakis
A study of the ultrasonic vocalizations of several adult male BALB/c mice in the presence of a female, is undertaken in this study. A total of 179 distinct ultrasonic syllables referred to as ?phonemes? are isolated, and in the resulting dataset, k-means...
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Sina Shabani, Antonio Candelieri, Francesco Archetti and Gholamreza Naser
This article proposes a new general approach in short-term water demand forecasting based on a two-stage learning process that couples time-series clustering with gene expression programming (GEP). The approach was tested on the real life water demand da...
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Sina Shabani, Antonio Candelieri, Francesco Archetti and Gholamreza Naser
This article proposes a new general approach in short-term water demand forecasting based on a two-stage learning process that couples time-series clustering with gene expression programming (GEP). The approach was tested on the real life water demand da...
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Nisa Boukichou-Abdelkader, Miguel Ángel Montero-Alonso and Alberto Muñoz-García
Recently, many methods and algorithms have been developed that can be quickly adapted to different situations within a population of interest, especially in the health sector. Success has been achieved by generating better models and higher-quality resul...
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Ruonan Gao, Fengxiang Jin, Min Ji and Yanan Zuo
Wheat stripe rust poses a serious threat to the quality and yield of wheat crops. Typically, the occurrence data of wheat stripe rust is characterized by small sample sizes, and the current research on severity identification lacks high-precision methods...
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Weijie Zhang, Lanping Zhang, Xixi Zhang, Yu Wang, Pengfei Liu and Guan Gui
Network traffic classification (NTC) has attracted great attention in many applications such as secure communications, intrusion detection systems. The existing NTC methods based on supervised learning rely on sufficient labeled datasets in the training ...
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Driss Khalil, Amrutha Prasad, Petr Motlicek, Juan Zuluaga-Gomez, Iuliia Nigmatulina, Srikanth Madikeri and Christof Schuepbach
In air traffic management (ATM), voice communications are critical for ensuring the safe and efficient operation of aircraft. The pertinent voice communications?air traffic controller (ATCo) and pilot?are usually transmitted in a single channel, which po...
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Erick Rodríguez-Hernández, Juan Irving Vasquez, Carlos Alberto Duchanoy Martínez and Hind Taud
A policy determines the action that an autonomous car needs to take according to its current situation. For example, the car keeps itself on track or overtakes another car, among other policies. Some autonomous cars could need more than one policy to dri...
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