1,721,047 research outputs found
StreamSpot Dataset
No full textThe original edge-list data credits to: Emaad Manzoor, Sadegh M. Milajerdi and Leman Akoglu. Fast Memory-efficient Anomaly Detection in Streaming Heterogeneous Graphs. In 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data mining (KDD). 2016
StreamSpot Dataset
No full textThe original edge-list data credits to: Emaad Manzoor, Sadegh M. Milajerdi and Leman Akoglu. Fast Memory-efficient Anomaly Detection in Streaming Heterogeneous Graphs. In 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data mining (KDD). 2016
Scalable Distributed Approximation of Internal Measures for Clustering Evaluation
Full text linkAn important step in cluster analysis is the evaluation oft he quality of a given clustering through structural mea-sures of goodness. Measures that do not require additional information for their evaluation (but the clustering itself), called internal measures, are commonly used because of their generality. The most widely used internal measure is the silhouette coefficient, whose naive computation requires a quadratic number of distance calculations, unfeasible for massive datasets. Surprisingly, there are no known general methods to efficiently approximate the silhouette coefficient of a clustering with rigorously provable high accuracy. In this paper, we present the first scalable algorithm to compute such a rigorous approximation for the evaluation of clusterings based on any metric distances. Our algorithm approximates the silhouette coefficient within a mere additive error O (ε) with probability 1 − δ using a very small number of distance calculations, for any fixed ε, δ ∈ (0, 1). We also provide a distributed implementation of the algorithm using the MapReduce model, which runs in constant rounds and requires only sublinear local space at each worker, thus making our estimation approach applicable to big data scenarios. An extensive experimental evaluation provides evidence that our algorithm returns highly accurate silhouette estimates,unlike competing heuristics, while running in a fraction of the time required by the exact computation
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
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