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Relevant bibliographies by topics / Communal; FGM Algorithm; Decision Tree

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Academic literature on the topic 'Communal; FGM Algorithm; Decision Tree'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Communal; FGM Algorithm; Decision Tree"

1

P.Sathish, Kumar, and T.Suvathi. "AN OPTIMAL FORECASTING OF LATENT SIMILARITY BASED RELATIONSHIP ON USER ATTRIBUTES USING LINK PREDICTION." International Journal of Engineering Technologies and Management Research 4, no. 11 (2017): 43–47. https://doi.org/10.5281/zenodo.1098403.

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<strong><em>Communal is one of the common words. A billion of peoples share or have certain attitudes and interests in common. By sharing and receiving the information such as text, image, audio, video etc., this kind of information, it improves the global knowledge, easily distinct the good and bad things. Now days, Social media is a good platform to share the content collectively with collaboration. Digital technologies are spread all over the global rapidly. It is an efficient way to improve the knowledge via Communal. People do not show the attention to join the community because of addict

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2

Kumar, P. Sathish, and T. Suvathi. "AN OPTIMAL FORECASTING OF LATENT SIMILARITY BASED RELATIONSHIP ON USER ATTRIBUTES USING LINK PREDICTION." International Journal of Engineering Technologies and Management Research 4, no. 11 (2020): 43–47. http://dx.doi.org/10.29121/ijetmr.v4.i11.2017.122.

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Communal is one of the common words. A billion of peoples share or have certain attitudes and interests in common. By sharing and receiving the information such as text, image, audio, video etc., this kind of information, it improves the global knowledge, easily distinct the good and bad things. Now days, Social media is a good platform to share the content collectively with collaboration. Digital technologies are spread all over the global rapidly. It is an efficient way to improve the knowledge via Communal. People do not show the attention to join the community because of addiction, hacks t

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3

Lee, Keon Myung, Kyoung Soon Hwang, Kyung Mi Lee, Seung Kee Han, Woo Hyun Jung, and Seungbok Lee. "Supervised Learning-Based Feature Selection for Mondrian Paintings Style Authentication." Journal of Advanced Computational Intelligence and Intelligent Informatics 16, no. 7 (2012): 894–99. http://dx.doi.org/10.20965/jaciii.2012.p0894.

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This paper concerns feature selection for computational analysis in authenticating works of art. The various features designed and extracted from art work in art forgery detection or the identification of the characteristics of art work style are valuable only when they have a meaningful influence on a given task such as classification. This paper presents features applicable to authenticating the painting style of Piet Mondrian and demonstrates meaningful features by using two supervised learning algorithms, a decision tree induction algorithm C4.5 and the Feature Generating Machine (FGM), bo

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4

Łągiewska, Magdalena, and Maciej Bartold. "An Integrated Approach Using Remote Sensing and Multi-Criteria Decision Analysis to Mitigate Agricultural Drought Impact in the Mazowieckie Voivodeship, Poland." Remote Sensing 17, no. 7 (2025): 1158. https://doi.org/10.3390/rs17071158.

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Climate change, particularly the increasing frequency of droughts, poses a critical challenge for agriculture. Rising temperatures and water scarcity threaten both agricultural productivity and ecosystem stability, making the identification of effective drought mitigation strategies essential. This study introduces an innovative approach to agricultural drought monitoring in Poland, utilizing remote sensing (RS) satellite data, collected from 2001 to 2020, and the Drought Identification Satellite System (DISS) index at a 1 km × 1 km spatial resolution, in combination with Copernicus High-Resol

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5

Chun, Myung-Geun, and Toshihiko Watanabe. "Special Issue on Advanced Intelligent Systems." Journal of Advanced Computational Intelligence and Intelligent Informatics 16, no. 7 (2012): 865. http://dx.doi.org/10.20965/jaciii.2012.p0865.

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The 12th International Symposium on Advanced Intelligent Systems (ISIS 2011) held at La Vie DfOr Resort, Suwon, Korea, on September 28 to October 1, 2011, featured presentations by researchers, engineers and practitioners on the latest accomplishments, innovations and applications in artificial intelligence, intelligent systems, and information technology. The 152 papers consisted of 110 regular papers, 39 organized session papers and 3 invited papers were contributed to the conference. The Program Committee requested ISIS 2011 reviewers to select papers for a special issue of the Journal of

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