Results 11 to 20 of about 15,272 (223)
, 2011 WEKA has recently become a very referenced DM tool. In spite of all the functionality it provides, it does not include any framework for the development of evolutionary algorithms. An evolutionary computation framework is JCLEC, which has been successfully employed for developing several EAs. The combination of both may lead in a mutual bene t.
Alberto Cano 0001 +3 more
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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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Assessment of the driver's driving style using supervised machine learning [PDF]
Tehnika, 2022 Supervised machine learning can be an effective method of predicting a target variable, depending on current values of independent attributes, if historical data containing values of independent attributes and target variables in the past is available ...
Janković Slađana R. +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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Determination Efficient Classification Algorithm for Credit Card Owners: Comparative Study [PDF]
Engineering and Technology Journal, 2021 Today in the business world, significant loss can happen when the borrowers ignore paying their loans. Convenient credit-risk management represents a necessity for lending institutions.
Raghad A. Azeez
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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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