Mostrando ítems 1-20 de 29

    • A Clustering Algorithm Based on an Ensemble of Dissimilarities: An Application in the Bioinformatics Domain 

      Martín Merino, Manuel; López Rivero, Alfonso José; Alonso, Vidal; Vallejo, Marcelo; Ferreras, Antonio (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      Clustering algorithms such as k-means depend heavily on choosing an appropriate distance metric that reflect accurately the object proximities. A wide range of dissimilarities may be defined that often lead to different ...
    • A clustering WSN routing protocol based on k-d tree algorithm 

      Anzola, John; Pascual, Jordán; Tarazona, Giovanny; González-Crespo, Rubén (Sensors, 09/2018)
      Clustering in wireless sensor networks has been widely discussed in the literature as a strategy to reduce power consumption. However, aspects such as cluster formation and cluster head (CH) node assignment strategies have ...
    • A Collaborative Filtering Probabilistic Approach for Recommendation to Large Homogeneous and Automatically Detected Groups 

      Bobadilla, Jesús; Gutiérrez, Abraham; Alonso, Santiago; Hurtado, Remigio (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)
      In the collaborative filtering recommender systems (CFRS) field, recommendation to group of users is mainly focused on stablished, occasional or random groups. These groups have a little number of users: relatives, friends, ...
    • A fuzzy c-means bi-sonar-based Metaheuristic Optimization Algorithm 

      Khan, Koffka; Sahai, Ashok (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2012)
      Fuzzy clustering is an important problem which is the subject of active research in several real world applications. Fuzzy c-means (FCM) algorithm is one of the most popular fuzzy clustering techniques because it is ...
    • A Holistic Methodology for Improved RFID Network Lifetime by Advanced Cluster Head Selection using Dragonfly Algorithm 

      Rathore, Pramod Singh; Kumar, Abhishek; García-Díaz, Vicente (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)
      Radio Frequency Identification (RFID) networks usually require many tags along with readers and computation facilities. Those networks have limitations with respect to computing power and energy consumption. Thus, for ...
    • Adjectives Grouping in a Dimensionality Affective Clustering Model for Fuzzy Perceptual Evaluation 

      Huang, Wenlin; Wu, Qun; Dey, Nilanjan; Ashour, Amira; Fong, Simon James; González-Crespo, Rubén (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)
      More and more products are no longer limited to the satisfaction of the basic needs, but reflect the emotional interaction between people and environment. The characteristics of user emotions and their evaluation scales ...
    • An Experimental Study on Microarray Expression Data from Plants under Salt Stress by using Clustering Methods 

      Fyad, Houda; Barigou, Fatiha; Bouamrane, Karim (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)
      Current Genome-wide advancements in Gene chips technology provide in the “Omics (genomics, proteomics and transcriptomics) research”, an opportunity to analyze the expression levels of thousand of genes across multiple ...
    • Análisis de influencia de factores ambientales en el bienestar emocional 

      Peralta, Arturo (Dyna, 2022)
      El entorno y el conjunto de factores ambientales que nos rodean pueden suponer una gran influencia en la sensación de bienestar percibida. Sin embargo, son escasos los trabajos que analizan conjuntamente la influencia ...
    • Anomaly based Intrusion Detection using Modified Fuzzy Clustering 

      Harish, B S; Kumar, S V A (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2017)
      This paper presents a network anomaly detection method based on fuzzy clustering. Computer security has become an increasingly vital field in computer science in response to the proliferation of private sensitive information. ...
    • Automatic Irony Detection using Feature Fusion and Ensemble Classifier 

      Harish, B S; Kumar, Keerthi (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2019)
      With the advent of micro-blogging sites, users are pioneer in expressing their sentiments and emotions on global issues through text. Automatic detection and classification of sentiments like sarcastic or ironic content ...
    • Bibliometric maps of BIM and BIM in universities: a comparative analysis 

      Chihib, Mehdi; Salmerón-Manzano, Esther ; Novas, Nuria; Manzano-Agugliaro, Francisco (Sustainability, 08/2019)
      Building Information Modeling (BIM) is increasingly important in the architecture and engineering fields, and especially in the field of sustainability through the study of energy. This study performs a bibliometric study ...
    • Clustering aglomerativo para la desambiguación de nombres de autor 

      Padilla-Mesa, Juan Antonio (09/2021)
      La ambigüedad de los nombres de autor en las bases de datos bibliográficas supone un gran problema a la hora de la recuperación de información, la realización de análisis bibliométricos y la visibilidad de la ciencia. Esto ...
    • Clustering of LMS Use Strategies with Autoencoders 

      Verdú, María J; Regueras, Luisa M.; de Castro, Juan-Pablo; Verdú, Elena (Applied Sciences (Switzerland), 2023)
      Learning Management Systems provide teachers with many functionalities to offer materials to students, interact with them and manage their courses. Recognizing teachers’ instructing styles from their course designs would ...
    • Cognitive Evaluation of Examinees by Dynamic Question Set Generation based on Bloom’s Taxonomy 

      Dutta, Anjan; Chatterjee, Punyasha; Dey, Nilanjan; Moreno-Ger, Pablo; Sen, Soumya (IETE Journal of Research, 2023)
      Educational data mining (EDM) is an emerging topic in recent years steered by data mining and machine learning techniques to enhance students’ overall learning experience and academic progress. In recent years EDM techniques ...
    • Comparative Study of Clustering Algorithms in Text Mining Context 

      JALIL, Abdennour Mohamed; HAFIDI, Imad; ALAMI, Lamiae; ENSA, Khouribga (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)
      The spectacular increasing of Data is due to the appearance of networks and smartphones. Amount 42% of world population using internet [1]; have created a problem related of the processing of the data exchanged, which ...
    • Comparison of Clustering Algorithms for Learning Analytics with Educational Datasets 

      Martínez Navarro, Álvaro; Moreno-Ger, Pablo (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2018)
      Learning Analytics is becoming a key tool for the analysis and improvement of digital education processes, and its potential benefit grows with the size of the student cohorts generating data. In the context of Open ...
    • Comparison of Feedforward Network and Radial Basis Function to Detect Leukemia 

      Bijalwan, Vishwanath; Balodhi, Meenu; Bagwari, Pragya; Saxena, Bhavya (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2017)
      Leukemia is a fast growing cancer also called as blood cancer. It normally originates near bone marrow. The need for automatic leukemia detection system rises ever since the existing working methods include labor-intensive ...
    • Confirmación de ambientes favorecedores de bienestar emocional para personas mayores con deterioro cognitivo incipiente 

      Peralta, Arturo ; Fernández-Caballero, Antonio; Latorre, Jose Miguel (Dyna, 2021)
      Sin lugar a duda, el entorno y el conjunto de factores ambientales que nos rodean pueden suponer una gran influencia en la sensación de bienestar percibida. Sin embargo, son escasos los trabajos que analizan, conjuntamente, ...
    • Data-Aware Scheduling Strategy for Scientific Workflow Applications in IaaS Cloud Computing 

      Makhlouf, Sid Ahmed; Yagoubi, Belabbas (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)
      Scientific workflows benefit from the cloud computing paradigm, which offers access to virtual resources provisioned on pay-as-you-go and on-demand basis. Minimizing resources costs to meet user’s budget is very important ...
    • Emotional characterization of children through a learning environment using learning analytics and AR-Sandbox 

      Restrepo Rodríguez, Andrés Ovidio; Ariza Riaño, Maddyzeth; Gaona-García, Paulo Alonso; Montenegro-Marin, Carlos Enrique; González-Crespo, Rubén; Wu, Xing (Journal of Ambient Intelligence and Humanized Computing, 03/2020)
      Identifying emotions experienced by students in a learning environment contributes to measuring the impact when technologies such as augmented reality (AR) are implemented in the educational field. The most frequent methods ...