International audienceGradual patterns highlight complex order correlations of the form "The more/less X, the more/less Y". Only recently algorithms have appeared to mine efficiently gradual rules. However, due to the complexity of mining gradual rules, these algorithms cannot yet scale on huge real world datasets. In this paper, we propose to exploit parallelism in order to enhance the performances of the fastest existing one (GRITE). Through a detailed experimental study, we show that our parallel algorithm scales very well with the number of cores available
96 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2006.We implemented parallel algori...
96 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2006.We implemented parallel algori...
Data mining is an emerging research area, whose goal is to discover potentially useful information e...
International audienceGradual patterns highlight complex order correlations of the form "The more/le...
International audienceNumerical data (e.g., DNA micro-array data, sensor data) pose a challenging pr...
International audienceNumerical data (e.g., DNA micro-array data, sensor data) pose a challenging pr...
International audienceNumerical data (e.g., DNA micro-array data, sensor data) pose a challenging pr...
International audienceNumerical data (e.g., DNA micro-array data, sensor data) pose a challenging pr...
International audienceNumerical data (e.g., DNA micro-array data, sensor data) pose a challenging pr...
International audienceNumerical data (e.g., DNA micro-array data, sensor data) pose a challenging pr...
International audienceNumerical data (e.g., DNA micro-array data, sensor data) pose a challenging pr...
Abstract. Numerical data (e.g., DNA micro-array data, sensor data) pose a challeng-ing problem to ex...
International audienceNumerical data (e.g., DNA micro-array data, sensor data) pose a challenging pr...
6 pagesInternational audienceIn this paper, we present a new approach relevant to the discovery of c...
6 pagesInternational audienceIn this paper, we present a new approach relevant to the discovery of c...
96 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2006.We implemented parallel algori...
96 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2006.We implemented parallel algori...
Data mining is an emerging research area, whose goal is to discover potentially useful information e...
International audienceGradual patterns highlight complex order correlations of the form "The more/le...
International audienceNumerical data (e.g., DNA micro-array data, sensor data) pose a challenging pr...
International audienceNumerical data (e.g., DNA micro-array data, sensor data) pose a challenging pr...
International audienceNumerical data (e.g., DNA micro-array data, sensor data) pose a challenging pr...
International audienceNumerical data (e.g., DNA micro-array data, sensor data) pose a challenging pr...
International audienceNumerical data (e.g., DNA micro-array data, sensor data) pose a challenging pr...
International audienceNumerical data (e.g., DNA micro-array data, sensor data) pose a challenging pr...
International audienceNumerical data (e.g., DNA micro-array data, sensor data) pose a challenging pr...
Abstract. Numerical data (e.g., DNA micro-array data, sensor data) pose a challeng-ing problem to ex...
International audienceNumerical data (e.g., DNA micro-array data, sensor data) pose a challenging pr...
6 pagesInternational audienceIn this paper, we present a new approach relevant to the discovery of c...
6 pagesInternational audienceIn this paper, we present a new approach relevant to the discovery of c...
96 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2006.We implemented parallel algori...
96 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2006.We implemented parallel algori...
Data mining is an emerging research area, whose goal is to discover potentially useful information e...