• A Bibliometric Overview of the International Journal of Interactive Multimedia and Artificial Intelligence 

      Herrera-Viedma, Enrique; Baier-Fuentes, Hugo; Cascón-Katchadourian, Jesús; Merigó, José; Martínez, M A (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2018)
      The International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI) published its first issue ten years ago. Currently, IJIMAI is indexed in the important database Emerging Sources Citation Index. This ...
    • A Fuzzy Linguistic RFM Model Applied to Campaign Management 

      Herrera-Viedma, Enrique; Carrasco, Ramón Alberto; Blasco, María Francisca; García-Madariaga, Jesús (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)
      In the literature there are some proposals for integrated schemes for campaign management based on segmentation from the results of the RFM model. RFM is a technique used to analyze customer behavior by means of three ...
    • Data and Artificial Intelligence Strategy: A Conceptual Enterprise Big Data Cloud Architecture to Enable Market-Oriented Organisations 

      Herrera-Viedma, Enrique; Carrasco, Ramón Alberto; Moreno, Caio (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2019)
      Market-Oriented companies are committed to understanding both the needs of their customers, and the capabilities and plans of their competitors through the processes of acquiring and evaluating market information in a ...
    • 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 ...
    • Imputation of Rainfall Data Using the Sine Cosine Function Fitting Neural Network 

      Chan Chiu, Po; Selamat, Ali; Krejcar, Ondrej; Kuok Kuok, King; Herrera-Viedma, Enrique; Fenza, Giuseppe (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      Missing rainfall data have reduced the quality of hydrological data analysis because they are the essential input for hydrological modeling. Much research has focused on rainfall data imputation. However, the compatibility ...
    • Performance and Convergence Analysis of Modified C-Means Using Jeffreys-Divergence for Clustering 

      Seal, Ayan; Karlekar, Aditya; Krejcar, Ondrej; Herrera-Viedma, Enrique (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      The size of data that we generate every day across the globe is undoubtedly astonishing due to the growth of the Internet of Things. So, it is a common practice to unravel important hidden facts and understand the massive ...