Titlebook: Data Science, Learning by Latent Structures, and Knowledge Discovery; Berthold Lausen,Sabine Krolak-Schwerdt,Matthias Bö Conference procee

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bacteria

Lecture Notes in Computer Scienceation to a real benchmark credit approval mixed-data set to classify the customers into good/bad classes for credit approval. Our results show the excellent performance of HRBF-NN method in supervised classification tasks.

scoliosis

COWER

A New Supervised Classification of Credit Approval Data via the Hybridized RBF Neural Network Model ation to a real benchmark credit approval mixed-data set to classify the customers into good/bad classes for credit approval. Our results show the excellent performance of HRBF-NN method in supervised classification tasks.

obsession

Visual Analysis of Topics in Twitter Based on Co-evolution of Termsation of their co-evolution. An experiment was conducted on real-life datasets in collaboration with an expert in customer relationship management working at the French energy company EDF. The first results show three different kinds of co-evolution of terms: bursty features, reoccurring terms and long periods of activity.

Alpha-Cells

Modernising Official Statistics: A Complex Challenge These organisations come together as partners in the European Statistical System (ESS). This paper describes the ESS, the challenges it faces and the modernisation efforts that have been undertaken based on a redesigned ESS enterprise architecture. It also outlines the probable future direction of

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Recessive

Clustering of Solar Irradianceefinitively a solution to reduce the storage capacities and, as a result, authorizes to increase the penetration of the photovoltaic units on the power grid. We present the first results of an interdisciplinary research project which involves researchers in energy, meteorology, and data mining, addr

铁塔等

Factor Analysis of Local Formalism. It permits to define local inertia and local autocorrelation relatively to arbitrary networks. In particular, free partitioned exchanges amount in defining a categorical variable (hard membership), together with canonical spectral scores, identical to Fisher’s discriminant functions. One demonstra