Ara es mostren els items 1-13 de 13

    • A novel clustering method for breaking down the symmetric multiple traveling salesman problem 

      Hamdan, Basma; Bashir, Hamdi; Cheaitou, Ali (OmniaScience, 2021-04)
      Article
      Accés obert
      Purpose: This study proposes a new two-stage clustering method to break down the symmetric multiple traveling salesman problem (mTSP) into several single standard traveling salesman problems, each of which can then be ...
    • Apache Mahout’s k-Means vs. fuzzy k-Means performance evaluation 

      Xhafa Xhafa, Fatos; Bogza, Adriana; Caballé Llobet, Santiago; Barolli, Leonard (Institute of Electrical and Electronics Engineers (IEEE), 2016)
      Text en actes de congrés
      Accés obert
      The emergence of the Big Data as a disruptive technology for next generation of intelligent systems, has brought many issues of how to extract and make use of the knowledge obtained from the data within short times, limited ...
    • Comparació de tècniques de clustering en una base de dades de salut 

      Ventanyol Farras, Xavier (Universitat Politècnica de Catalunya / Universitat de Barcelona, 2021-06)
      Treball Final de Grau
      Accés obert
      Les tècniques de clustering tenen l’objectiu de trobar patrons amagats dins de les dades i, particularment, dividir un conjunt d’observacions en grups acord a un conjunt de mesures. Els primers mètodes es van desenvolupar ...
    • Desarrollo de software de previsiones de consumo eléctrico 

      Pacichana Bastidas, Carlos Eduardo (Universitat Politècnica de Catalunya, 2022-06-28)
      Treball Final de Grau
      Accés restringit per decisió de l'autor
      Por todo esto este proyecto tratará dos puntos, el primero será intentar predecir de la manera más exacta posible el consumo eléctrico que tendrán nuestros clientes mediante una serie de modelos de predicción y segundo ...
    • Exploratory analysis of SCADA data from wind urbines using the K-Means clustering algorithm for predictive maintenance purposes 

      Cosa Rodríguez, Pablo; Marti Puig, Pere; Caiafa, Cesar F.; Serra Serra, Moisès; Cusidó Roura, Jordi; Sole Casals, Jordi (2023-02-10)
      Article
      Accés obert
      Product maintenance costs throughout the product’s lifetime can account for between 30–60% of total operating costs, making it necessary to implement maintenance strategies. This problem not only affects the economy but ...
    • Fraud detection in the purchasing process through unsupervised machine learning techniques 

      Bernal Cabrera, Andrea Michelle (Universitat Politècnica de Catalunya, 2023-01)
      Projecte Final de Màster Oficial
      Accés obert
      Realitzat a/amb:   Applus+
      Las empresas pierden millones de euros al año por casos de fraude financiero y han utilizado aplicaciones de detección de fraude basadas en reglas, que no suelen ser suficientemente precisas. En el proceso de compras, la ...
    • K-means vs Mini Batch K-means: a comparison 

      Béjar Alonso, Javier (2013-05-17)
      Report de recerca
      Accés obert
      Mini Batch K-means (cite{Sculley2010}) has been proposed as an alternative to the K-means algorithm for clustering massive datasets. The advantage of this algorithm is to reduce the computational cost by not using all the ...
    • Machine learning algorithms for color image segmentation 

      Sampaio, Paulo Eduardo (Universitat Politècnica de Catalunya / Universitat de Barcelona, 2015-06)
      Projecte Final de Màster Oficial
      Accés obert
      This report presents a complete framework to segment color pictures into regions, classify these regions as "interesting" or "not interesting" and extract color information from the interesting regions. It proposes the ...
    • Market Basket analysis in Retail 

      Reig Grau, Gerard (Universitat Politècnica de Catalunya, 2017-05)
      Projecte Final de Màster Oficial
      Accés obert
      This Master Thesis memory describes a full end-to-end data science project performed in CleverData, a successful start-up specialized in data mining techniques and analytics tools. This project was performed for one of ...
    • Network and e-business centered computing 

      Argudo Hospido, Pablo (Universitat Politècnica de Catalunya, 2010-07-07)
      Projecte/Treball Final de Carrera
      Accés restringit per acord de confidencialitat
      Realitzat a/amb:   University of Reading
    • On learning mobility patterns in cellular networks 

      Sánchez González, Juan; Pérez Romero, Jordi; Agustí Comes, Ramon; Sallent Roig, Oriol (Springer, 2016)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      This paper considers the use of clustering techniques to learn the mobility patterns existing in a cellular network. These patterns are materialized in a database of prototype trajectories obtained after having observed ...
    • Optimization of a truck-drone in tandem delivery network using K-means and genetic algorithm 

      Mourelo Ferrandez, Sergio; Harbison, Timothy; Webwer, Troy; Sturges, Robert; Rich, Robert (Omnia Science, 2016-06)
      Article
      Accés obert
      Purpose: The purpose of this paper is to investigate the effectiveness of implementing unmanned aerial delivery vehicles in delivery networks. We investigate the notion of the reduced overall delivery time and energy for ...
    • Temperature effects removal from non-stationary bridge–vehicle interaction signals for ML damage detection 

      Niyozov, Sardorbek; Domaneschi, Marco; Casas Rius, Joan Ramon; Delgadillo Ayala, Rick Milton (Multidisciplinary Digital Publishing Institute (MDPI), 2023-06)
      Article
      Accés obert
      Bridges are vital components of transport infrastructures, and therefore, it is of utmost importance that they operate safely and reliably. This paper proposes and tests a methodology for detecting and localizing damage ...