Exploració per tema "Data mining"
Ara es mostren els items 1-20 de 425
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A catallactic market for data mining services.
(2007)
Article
Accés obertWe 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 comparative study of demand forecasting models for an online retailer business
(Universitat Politècnica de Catalunya, 2021-06-30)
Projecte Final de Màster Oficial
Accés restringit per decisió de l'autor -
A comprehensive scenario agnostic Data LifeCycle model for an efficient data complexity management
(Institute of Electrical and Electronics Engineers (IEEE), 2017)
Text en actes de congrés
Accés obertThere 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
(Institute of Electrical and Electronics Engineers (IEEE), 2016)
Text en actes de congrés
Accés obertSmart 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
(Springer, 2019-05)
Article
Accés obertCentral 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
(Springer, 2015)
Text en actes de congrés
Accés obertGraphs 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
(Springer, 2017)
Text en actes de congrés
Accés obertConformance 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
(2005-09)
Report de recerca
Accés obertIn 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
(SciTePress, 2016)
Text en actes de congrés
Accés obertSpreadsheet 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
(2016)
Text en actes de congrés
Accés restringit per política de l'editorialThe 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
(2015-11-01)
Article
Accés obertIn 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
(Universitat Politècnica de Catalunya, 2018-09-07)
Treball Final de Grau
Accés obertRecent 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
(2004-10)
Article
Accés obert -
A recommender system for process discovery
(Springer, 2014)
Text en actes de congrés
Accés obertOver 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
(Springer, 2016)
Text en actes de congrés
Accés obertThe 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
(Springer, 2008)
Text en actes de congrés
Accés obertThe 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
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Text en actes de congrés
Accés restringit per política de l'editorialEmotions 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
(2019-11-01)
Article
Accés obertProcess 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
(Springer, 2016)
Text en actes de congrés
Accés obertThe 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
(2016-02)
Article
Accés obertContext: 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 ...
