1,192 research outputs found

    Parsimonious Time Series Clustering

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    We introduce a parsimonious model-based framework for clustering time course data. In these applications the computational burden becomes often an issue due to the number of available observations. The measured time series can also be very noisy and sparse and a suitable model describing them can be hard to define. We propose to model the observed measurements by using P-spline smoothers and to cluster the functional objects as summarized by the optimal spline coefficients. In principle, this idea can be adopted within all the most common clustering frameworks. In this work we discuss applications based on a k-means algorithm. We evaluate the accuracy and the efficiency of our proposal by simulations and by dealing with drosophila melanogaster gene expression data

    «E si raccoglie la mia anima». Contributo a una storia dei 'Canti Orfici' (1914-1942)

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    Si ripercorrono in questa sede, attraverso l’analisi di documenti d’archivio editi e inediti, le prime tre tappe della storia dei Canti Orfici di Dino Campana, presentando tutti i problemi di sistemazione testuale a esse collegati. Punto di partenza è la princeps del 1914, l’unica edizione licenziata dall’autore, tutt’altro che esente da errori. La seconda edizione uscita per Vallecchi nel 1928, con prefazione di Bino Binazzi, oltre a eliminare i peritesti, introduce un’appendice di componimenti pubblicati solo su rivista. Spetterà a Enrico Falqui, su invito dell’editore Enrico Vallecchi, riportare il testo alla lezione originaria nel 1941, risolvendo spinose questioni ecdotiche con l’aiuto di Giuseppe De Robertis e Gianfranco Contini. A questa terza edizione Falqui affianca un volume di componimenti campaniani inediti, ritrovati dal fratello del poeta, Manlio, con cui il critico era in contatto dal 1938.Through the analysis of published and unpublished archival sources, this paper is aimed at retracing the first three steps in the history of Dino Campana’s Canti Orfici, by presenting all the issues related to its textual systematization. The history begins with the 1914 princeps edition, which though far from being flawless, is the only one licensed by the author. In the second edition, published by Vallecchi in 1928 and prefaced by Bino Binazzi, peritexts are eliminated and an appendix of poems previously only published in journals is introduced. It will be up to Enrico Falqui – at the invitation of the publisher Enrico Vallecchi – to bring the text back to its original lectio in 1941, solving ecdotic issues with the help of Giuseppe De Robertis and Gianfranco Contini. Falqui also edits a volume of Campanian unpublished poems, found by the poet’s brother, Manlio, with whom the critic had been in contact since 1938

    Silvia Zoppi Garampi, Le lettere di Ungaretti. Dalle cartoline in franchigia all’inchiostro verde, Roma, Salerno, 2018 : [recensione]

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    Through the analysis of Giuseppe Ungaretti’s letters – both published and unpublished – Silvia Zoppi Garampi has shown the importance of studying correspondences, often crucial in revealing various dynamics behind prose and poetry production. These “Grande Vecchio” letters, thus, can not only solve practical issues, communicate ideas, suggest publishing strategies, but also function as Ungaretti’s poetry workshop

    Analysis of web visit histories, part I: Distance-based visualization of sequence rules

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    This paper constitutes Part I of the contribution to the analysis of web visit histories through a new methodological framework. Firstly, web usage and web structure mining are considered as an unique mining process to detect the latent structure of the web navigation across the web sections of a single portal. We extend association rules theory to web data defining new concepts of web (patterns) association and preference matrices, as well as of (indirect and direct) sequence rules. We identify the most significant rules, according to a multiple testing procedure. In the literature, web usage patterns can be visualized in no-distance-based graphs describing the navigation behavior across web pages with sequential arrows. In the following, we introduce a geometrical visualization of sequence rules at any click of the web navigation. In particular, we provide two distance-based visualization methods for the static analysis of all data tout court and the dynamic analysis to discover the most significant web paths click by click. A real world case study is considered throughout the methodological description
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