1,721,065 research outputs found
Complementing MongoDB with Advanced Access Control Features: Concepts and Research Challenges
No full textBig Data Pipeline Discovery through Process Mining: Challenges and Research Directions
Get PDFBig Data pipelines are essential for leveraging Dark Data,
i.e., data collected but not used and turned into value. However, tapping
their potential requires going beyond the current approaches and
frameworks for managing their life-cycle. In this paper, we present the
challenges associated to the achievement of the Pipeline Discovery task,
which aims to learn the structure of a Big Data pipeline by extracting,
processing and interpreting huge amounts of event data produced by
several data sources. Then, we discuss how traditional Process Mining
solutions can be potentially employed and customized to overcome such
challenges, outlining a research agenda for future work in this area
Analyzing Genomic Mappings with the GOLAM Framework?
No full textAbstract. The huge amount of data made available by the technologies for sequencing the human genome calls for sophisticated and automated analysis techniques. In this direction, the GOLAM framework has been developed within the scope of the GenData 2020 Project to enable multi-resolution analysis and mining of matches between genomic regions. In this paper we show how the GOLAM framework can be used for OLAP analysis of the mappings between regions and samples resulting from queries expressed in GMQL against repositories of genomic data. In par-ticular we show the multidimensional schema that represents mappings and we briefly address the main research challenge implied by GOLAM, i.e., on-demand ETL
Knowledge-driven digital forensics
No full textThe usage of Information and Communication Technologies (ICTs) pervades everyday's life. If it is true that ICT contributed to im- prove the quality of our life, it is also true that new forms of (cyber)crime have emerged in this setting. The diversity and amount of information forensic investigators need to cope with, when tackling a cyber-crime case, call for tools and techniques where knowledge is the main actor. Current approaches leave to the investigator the chore of integrating the diverse sources of evidence relevant for a case thus hindering the auto- matic generation of reusable knowledge. This paper describes an archi- tecture that lifts the classical phases of a digital forensic investigation to a knowledge-driven setting. We discuss how the usage of languages and technologies originating from the Semantic Web proposal can comple- ment digital forensics tools with knowledge as a first-class citizen. Our architecture enables to perform in an integrated way complex forensic investigations and, as a by-product, build a knowledge base that can be consulted to gain insights from previous cases. Our proposal has been inspired by real-world scenarios emerging in the context of an Italian research project about cyber security
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
raffaeleconforti/ResearchCode: TKDE Benchmark
No full text<p>This zip contains the benchmark (and its sourcecode) discussed in the publication:<br>
Adriano Augusto, Raffaele Conforti, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Andrea Marrella, Massimo Mecella, and Allar Soo. "Automated Discovery of Process Models from Event Logs: Review and Benchmark" </p>
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