Mostrando ítems 1-18 de 18

    • A Survey on Data-Driven Evaluation of Competencies and Capabilities Across Multimedia Environments 

      Strukova, Sofia; Ruipérez-Valiente, José A.; Gómez Mármol, Félix (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2023)
      The rapid evolution of technology directly impacts the skills and jobs needed in the next decade. Users can, intentionally or unintentionally, develop different skills by creating, interacting with, and consuming the content ...
    • A Systematic Literature Review of Empirical Studies on Learning Analytics in Educational Games 

      Tlili, Ahmed; Chang, Maiga; Moon, Jewoong; Liu, Zhichun; Burgos, Daniel; Chen, Nian-Shing; Kinshuk (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Learning analytics (LA) in educational games is considered an emerging practice due to its potential of enhancing the learning process. Growing research on formative assessment has shed light on the ways in which students' ...
    • AI Sport Forecast Software 

      Cerezo Takahashi, Kiyomi (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2008)
      This article aims to explain the development of an application whose function is to predict the results of different sporting encounters. To do this an analysis of the influential factors, algorithms and technology ...
    • An Effective Prediction Approach for the Management of Children Victims of Road Accidents 

      Saadi, F.; Baghdad, Atmani; Henni, F.; Benfriha, H.; Addou, Z.; Guerbouz, R. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 02/2024)
      Road traffic generates a considerable number of accidents each year. The management of injuries caused by these accidents is becoming a real public health problem. Faced with this latter, we propose a new clinical decision ...
    • Automatic Finding Trapezoidal Membership Functions in Mining Fuzzy Association Rules Based on Learning Automata 

      Anari, Z.; Hatamlou, A.; Anari, B. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      Association rule mining is an important data mining technique used for discovering relationships among all data items. Membership functions have a significant impact on the outcome of the mining association rules. An ...
    • Contribution to the Association Rules Visualization for Decision Support: A Combined Use Between Boolean Modeling and the Colored 2D Matrix 

      Atmani, Baghdad; Benhacine, Fatima Zohra; Abdelouhab, Fawzia Zohra (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      In the present paper we aim to study the visual decision support based on Cellular machine CASI (Cellular Automata for Symbolic Induction). The purpose is to improve the visualization of large sets of association rules, ...
    • Data Science Techniques for COVID-19 in Intensive Care Units 

      Muñoz Lezcano, Sergio; López Hernández, Fernando Carlos; Corbi, Alberto (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      Data scientists aim to provide techniques and tools to the clinicians to manage the new coronavirus disease. Nowadays, new emerging tools based on Artificial Intelligence (AI), Image Processing (IP) and Machine Learning ...
    • Design of a System for Monitoring Technology Multiple Application in Order to Measure the Gap in Technology Companies "MiPymes" 

      Espinel Ortega, Álvaro; Martín García, Víctor; Vega Escobar, Adriana Marcela (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2011)
      This is one of several articles that aims to disseminate the research results in developing advanced doctoral paper entitled: Model of System for Technological Surveillance for multiple application to measure the technological ...
    • Diabetes Diagnosis by Case-Based Reasoning and Fuzzy Logic 

      Atmani, Baghdad; Benamina, Mohammed; Benbelkacem, Sofia (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2018)
      In the medical field, experts’ knowledge is based on experience, theoretical knowledge and rules. Case-based reasoning is a problem-solving paradigm which is based on past experiences. For this purpose, a large number of ...
    • Finding an Accurate Early Forecasting Model from Small Dataset: A Case of 2019-nCoV Novel Coronavirus Outbreak 

      González-Crespo, Rubén; Herrera-Viedma, Enrique; Dey, Nilanjan; Fong, Simon James; Li, Gloria (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      Epidemic is a rapid and wide spread of infectious disease threatening many lives and economy damages. It is important to fore-tell the epidemic lifetime so to decide on timely and remedic actions. These measures include ...
    • Improving Retrieval Performance of Case Based Reasoning Systems by Fuzzy Clustering 

      Saadi, F.; Atmani, Baghdad; Henni, F. (International Journal of Interactive Multimedia and Artificial Intelligence, 07/2023)
      Case-based reasoning (CBR), which is a classical reasoning methodology, has been put to use. Its application has allowed significant progress in resolving problems related to the diagnosis, therapy, and prediction of ...
    • Mining Web-based Educational Systems to Predict Student Learning Achievements 

      del Campo-Ávila, José; Conejo, Ricardo; Triguero, Francisco; Morales-Bueno, Rafael (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2015)
      Educational Data Mining (EDM) is getting great importance as a new interdisciplinary research field related to some other areas. It is directly connected with Web-based Educational Systems (WBES) and Data Mining (DM, a ...
    • PInCom project: SaaS Big Data Platform for and Communication Channels 

      Lombardo, Juan Manuel; López, Miguel Ángel; Mirón, Felipe; Velasco, Susana; Sevilla, Juan Pablo; Mellado, Juan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)
      The problem of optimization will be addressed in this article, based on the premise that the successful implementation of Big Data solutions requires as a determining factor not only effective -it is assumed- but the ...
    • PredicForex. A tool for a reliable market. Playing with currencies 

      Aguilera Collar, J.; González-Cebrián Toba, R.; Cortés Velasco, C. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2009)
      The Forex market is a very interesting market. Finding a suitable tool to forecast currency behavior will be of great interest. It is almost impossible to find a 100 % reliable tool. This market is like any other one, ...
    • Prototype of assignment intelligent adaptive of service providers inside of ESB with data mining 

      Castaño, Andrés Paolo (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2009)
      The SOA philosophy can address new business challenges, become more competitive and provide integrated information systems. In addition, technologies such as BPM, BAM and Web Services are essential complements to SOA. This ...
    • Statistical Comparisons of the Top 10 Algorithms in Data Mining for Classification Task 

      Settouti, Nesma; El Amine Bechar, Mohammed; Amine Chikh, Mohammed (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2016)
      This work is builds on the study of the 10 top data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) community in December 2006. We address the same study, but with the application ...
    • TKU-PSO: An Efficient Particle Swarm Optimization Model for Top-K High-Utility Itemset Mining 

      Carstensen, Simen; Chun-Wei Lin, Jerry (International Journal of Interactive Multimedia and Artificial Intelligence, 01/2024)
      Top-k high-utility itemset mining (top- HUIM) is a data mining procedure used to identify the most valuable patterns within transactional data. Although many algorithms are proposed for this purpose, they require substantial ...
    • Use of Data Mining for Intelligent Evaluation of Imputation Methods 

      la Red, David L.; Primorac, Carlos R. (International Journal of Interactive Multimedia and Artificial Intelligence, 03/2023)
      In real-world situations, researchers frequently face the difficulty of missing values (MV), i.e., values not observed in a data set. Data imputation techniques allow the estimation of MV using different algorithms, by ...