Results 21 to 30 of about 7,785 (183)
Advances in Distributed Computing and Artificial Intelligence Journal, 2022 Clustering is the unsupervised machine learning process that group data objects into clusters such that objects within the same cluster are highly similar to one another.
Zahid Rahman +3 more
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Long seed dispersal distances by an inquisitive flightless rail (Gallirallus australis) are reduced by interaction with humans [PDF]
Royal Society Open Science, 2019 Human presence is becoming increasingly ubiquitous, but the influence this has on the seed dispersal services performed by frugivorous animals is largely unknown.
Joanna K. Carpenter +3 more
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Parametrized MTree Clusterer for Weka
Informatica, 2022 In the area of clustering, proposing or improving new algorithms represents a challenging task due to an already existing well-established list of algorithms and various implementations that allow rapid evaluation against tasks on publicly available datasets.
Marian Cristian Mihaescu +1 more
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Jurnal Teknologi Informasi dan Ilmu Komputer, 2020 Penelitian ini bertujuan menganalisis pola lama studi mahasiswa fakultas teknik universitas Darma Persada daridata akademik. Metode yang digunakan adalah clustering algoritma K-Means.
Ayu Hardianti, Dewi Agushinta. R
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Long-term water-energy demand prediction using a regression model: a case study of Addis Ababa city
Journal of Water and Climate Change, 2021 As part of sustainable urban planning, the demand for water and energy (WE) should also be addressed. The Waikato Environment for Knowledge Analysis (WEKA) modeling tool was employed to relate the historical WE consumptions with the population and ...
Bedassa Dessalegn Kitessa +3 more
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A Machine Learning Approach to Forecast International Trade: The Case of Croatia
Business Systems Research, 2022 Background: This paper presents a machine learning approach to forecast Croatia’s international bilateral trade.
Jošić Hrvoje, Žmuk Berislav
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IDENTIFICATION OF HOMOGENEOUS RAINFALL ZONES DURING GRAIN CROPS IN PARANÁ, BRAZIL [PDF]
Engenharia Agrícola, 2019 The aim of this study is to identify homogeneous rainfall zones in the winter and summer 1st and 2nd crops, in the state of Paraná, Brazil. The zones were defined by clustering using the expectation-maximization (EM) algorithm to transform seasonal ...
Allan R. Lopes +4 more
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Cable fault classification in ADSL copper access network using machine learning
IJAIN (International Journal of Advances in Intelligent Informatics), 2021 Asymmetrical Digital Subscriber Line (ADSL) is the technology widely deployed worldwide, but its performance may be limited with respect to its intrinsic.
Nurul Bashirah Ghazali +7 more
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Arabic CyberBullying Detection Using Arabic Sentiment Analysis [PDF]
The Egyptian Journal of Language Engineering, 2021 : The Sentiment Analysis is used for the text analysing, and classification of the text attitude.We are using the computing advancement in the form of Machine Learning (ML) and Support Vector Machine (SVM) algorithm to train a dataset which is collected ...
Mohamed Abdel Fattah, Samar Almutiry
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Implementasi Teknik Data Mining untuk Evaluasi Kinerja Mahasiswa Berdasarkan Data Akademik
Fountain of Informatics Journal, 2017 One indicator of college efficiency is the study period of the students. It is important for university managers to improve the ratio of students who graduate on time.
Gita Indah Marthasari
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