Now showing items 1-20 of 329

    • A catallactic market for data mining services. 

      Joita, Liviu; Rana, Omer; Freitag, Fèlix; Chao, Isaac; Chacín Martínez, Pablo; Navarro Moldes, Leandro; Ardáiz Villanueva, Óscar (2007)
      Article
      Open Access
      We describe a Grid market for exchanging data mining services based on the Catallactic market mechanism proposed by von Hayek. This market mechanism allows selection between multiple instances of services based on operations ...
    • A comprehensive scenario agnostic Data LifeCycle model for an efficient data complexity management 

      Sinaeepourfard, Amir; García Almiñana, Jordi; Masip Bruin, Xavier; Marín Tordera, Eva (Institute of Electrical and Electronics Engineers (IEEE), 2017)
      Conference report
      Open Access
      There is a vast amount of data being generated every day in the world, coming from a variety of sources, with different formats, quality levels, etc. This new data, together with the archived historical data, constitute ...
    • A Data LifeCycle model for smart cities 

      Sinaeepourfard, Amir; García Almiñana, Jordi; Masip Bruin, Xavier; Marín Tordera, Eva; Yin, Xuefeng; Wang, Chao (Institute of Electrical and Electronics Engineers (IEEE), 2016)
      Conference report
      Open Access
      Smart Cities are the most challenging and promising technological solutions for absorbing the increasing pressure of population growth, while simultaneously enforcing a sustainable economic progress as well as a higher ...
    • A distributed hybrid index for processing continuous range queries over moving objects 

      Yu, Ziqiang; Xhafa Xhafa, Fatos; Chen, Yuehui; Ma, Kun (Springer, 2019-05)
      Article
      Open Access
      Central to many location-based services is the problem of processing concurrent continuous range queries over a large scale of moving objects. Most relevant works to this problem mainly investigate the centralized search ...
    • A framework for building OLAP cubes on graphs 

      Ghrab, Amine; Romero Moral, Óscar; Skhiri, Sabri; Vaisman, Alejandro; Zimányi, Esteban (Springer, 2015)
      Conference report
      Open Access
      Graphs are widespread structures providing a powerful abstraction for modeling networked data. Large and complex graphs have emerged in various domains such as social networks, bioinformatics, and chemical data. However, ...
    • A framework for online conformance checking 

      Burattin, Andrea; Carmona Vargas, Josep (Springer, 2017)
      Conference report
      Open Access
      Conformance checking – a branch of process mining – focuses on establishing to what extent actual executions of a process are in line with the expected behavior of a reference model. Current conformance checking techniques ...
    • A lattice-based method for structural analysis 

      Casas Garriga, Gemma; Díaz López, Pablo; Balcázar Navarro, José Luis (2005-09)
      External research report
      Open Access
      In this paper we revisit the foundations of formal concept analysis for ordered contexts of [4]. From the theoretical point of view, the obtained lattice has proved to be a proper unifying framework for reasoning about ...
    • A machine learning approach for layout inference in spreadsheets 

      Koci, Elvis; Thiele, Maik; Romero Moral, Óscar; Lehner, Wolfgang (SciTePress, 2016)
      Conference report
      Open Access
      Spreadsheet applications are one of the most used tools for content generation and presentation in industry and the Web. In spite of this success, there does not exist a comprehensive approach to automatically extract and ...
    • A methodology for maintaining consistency between conceptual interpretations of nested partitions 

      Sevilla-Villanueva, Beatriz; Gibert, Karina; Sànchez-Marrè, Miquel (2016)
      Conference report
      Restricted access - publisher's policy
      The relationship between interpretations of nested partitions is analyzed in this work, since there are multiple situations where a refinement of the original partition arises. As a result, a new methodology NCI-IMS is ...
    • A multi-scale smoothing kernel for measuring time-series similarity 

      Troncoso, Alicia; Arias Vicente, Marta; Riquelme Santos, José Cristóbal (2015-11-01)
      Article
      Open Access
      In this paper a kernel for time-series data is introduced so that it can be used for any data mining task that relies on a similarity or distance metric. The main idea of our kernel is that it should recognize as highly ...
    • A new deep reinforcement learning architecture for autonomous UAVs 

      Muñoz Ferran, Guillem (Universitat Politècnica de Catalunya, 2018-09-07)
      Bachelor thesis
      Open Access
      Recent improvements in computation and algorithmic research, together with the rising era of Big Data, have allowed Artificial Intelligence increase its popularity within masses. The recent publication of the Deep Q-Network ...
    • A qualitative reasoning approach for measuring citizens’ satisfaction 

      Domingo Gou, Marta; Agell Jané, Núria; Aguado Chao, Juan Carlos; Català Mallofré, Andreu (2004-10)
      Article
      Open Access
    • A recommender system for process discovery 

      Ribeiro, Joel; Carmona Vargas, Josep; Misir, Mustafa; Sebag, Michele (Springer, 2014)
      Conference report
      Open Access
      Over the last decade, several algorithms for process discovery and process conformance have been proposed. Still, it is well-accepted that there is no dominant algorithm in any of these two disciplines, and then it is often ...
    • A recursive paradigm for aligning observed behavior of large structured process models 

      Taymouri, Farbod; Carmona Vargas, Josep (Springer, 2016)
      Conference report
      Open Access
      The alignment of observed and modeled behavior is a crucial problem in process mining, since it opens the door for conformance checking and enhancement of process models. The state of the art techniques for the computation ...
    • A region-based algorithm for discovering Petri nets from event logs 

      Carmona Vargas, Josep; Cortadella, Jordi; Kishinevsky, Michael (Springer, 2008)
      Conference report
      Open Access
      The paper presents a new method for the synthesis of Petri nets from event logs in the area of Process Mining. The method derives a bounded Petri net that over-approximates the behavior of an event log. The most important ...
    • A Survey on multimodal data stream mining for e-learner’s emotion recognition 

      Nandi, Arijit; Xhafa Xhafa, Fatos; Subirats, Laia; Fort, Santi (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Conference report
      Restricted access - publisher's policy
      Emotions play a crucial role in learning. To improve and optimize electronic learning (e-Learning) outcomes, many researchers have investigated the role of emotions. Also, researchers have come up with many approaches to ...
    • A tour in process mining: from practice to algorithmic challenges 

      Van der Aalst, Wil M.P.; Carmona Vargas, Josep; Chatain, Thomas; Dongen, Boudewijn F. van (2019-11-01)
      Article
      Open Access
      Process mining seeks the confrontation between modeled behavior and observed behavior. In recent years, process mining techniques managed to bridge the gap between traditional model-based process analysis (e.g., simulation ...
    • A unified approach for measuring precision and generalization based on anti-alignments 

      Dongen, Boudewijn van; Carmona Vargas, Josep; Chatain, Thomas (Springer, 2016)
      Conference report
      Open Access
      The holy grail in process mining is an algorithm that, given an event log, produces fitting, precise, properly generalizing and simple process models. While there is consensus on the existence of solid metrics for fitness ...
    • ACon: A learning-based approach to deal with uncertainty in contextual requirements at runtime 

      Knauss, Alessia; Damian, Daniela; Franch Gutiérrez, Javier; Rook, Angela; Müller, Haussi A.; Thomo, Alex (2016-02)
      Article
      Open Access
      Context: Runtime uncertainty such as unpredictable operational environment and failure of sensors that gather environmental data is a well-known challenge for adaptive systems. Objective: To execute requirements that ...
    • Adaptive monitoring: A systematic mapping 

      Zavala Rodríguez, Edith Berenice; Franch Gutiérrez, Javier; Marco Gómez, Jordi (Elsevier, 2019-01)
      Article
      Open Access
      Context: Adaptive monitoring is a method used in a variety of domains for responding to changing conditions. It has been applied in different ways, from monitoring systems’ customization to re-composition, in different ...