• Detection of Adverse Reaction to Drugs in Elderly Patients through Predictive Modeling 

      San Miguel Carrasco, Rafael (International Journal of Interactive Multimedia and Artificial Intelligence, 03/2016)
      Geriatrics Medicine constitutes a clinical research field in which data analytics, particularly predictive modeling, can deliver compelling, reliable and long-lasting benefits, as well as non-intuitive clinical insights ...
    • Editor’s Note 

      Mochón, Francisco; Gonzálvez, Juan Carlos (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2016)
      Digital information has redefined the way in which both public and private organizations are faced with the use of data to improve decision making. The importance of Big Data lies in the huge amount of data generated ...
    • Real-Time Prediction of Gamers Behavior Using Variable Order Markov and Big Data Technology: A Case of Study 

      Baldominos, Alejandro; Albacete, Esperanza; Marrero, Ignacio; Saez, Yago (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2016)
      This paper presents the results and conclusions found when predicting the behavior of gamers in commercial videogames datasets. In particular, it uses Variable-Order Markov (VOM) to build a probabilistic model that is ...
    • Text Analytics: the convergence of Big Data and Artificial Intelligence 

      Moreno, Antonio; Redondo, Teófilo (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2016)
      The analysis of the text content in emails, blogs, tweets, forums and other forms of textual communication constitutes what we call text analytics. Text analytics is applicable to most industries: it can help analyze ...
    • Using GDELT Data to Evaluate the Confidence on the Spanish Government Energy Policy 

      Bodas-Sagi, Diego; Labeaga, José (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2016)
      The growing demand for affordable, reliable, domestically sourced, and low-carbon electricity is a matter of concern and it is driven by several causes including public policy priorities. Policy objectives and new technologies ...