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Documents authored by Pagli, Linda

Document
Complete Volume
DOI: 10.4230/LIPIcs.FUN.2018
LIPIcs, Volume 100, FUN'18, Complete Volume

Authors: Hiro Ito, Stefano Leonardi, Linda Pagli, and Giuseppe Prencipe

Published in: LIPIcs, Volume 100, 9th International Conference on Fun with Algorithms (FUN 2018)

Abstract
LIPIcs, Volume 100, FUN'18, Complete Volume
Cite as

9th International Conference on Fun with Algorithms (FUN 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 100, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@Proceedings{ito_et_al:LIPIcs.FUN.2018,
  title =	{{LIPIcs, Volume 100, FUN'18, Complete Volume}},
  booktitle =	{9th International Conference on Fun with Algorithms (FUN 2018)},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-067-5},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{100},
  editor =	{Ito, Hiro and Leonardi, Stefano and Pagli, Linda and Prencipe, Giuseppe},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.FUN.2018},
  URN =		{urn:nbn:de:0030-drops-89311},
  doi =		{10.4230/LIPIcs.FUN.2018},
  annote =	{Keywords: Theory of computation, Complexity classes, Algorithm design techniques, Computability, Approximation algorithms analysis, Mathematics of computing}
}
Document
Front Matter
DOI: 10.4230/LIPIcs.FUN.2018.0
Front Matter, Table of Contents, Preface, Conference Organization

Authors: Hiro Ito, Stefano Leonardi, Linda Pagli, and Giuseppe Prencipe

Published in: LIPIcs, Volume 100, 9th International Conference on Fun with Algorithms (FUN 2018)

Abstract
Front Matter, Table of Contents, Preface, Conference Organization
Cite as

9th International Conference on Fun with Algorithms (FUN 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 100, pp. 0:i-0:xi, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@InProceedings{ito_et_al:LIPIcs.FUN.2018.0,
  author =	{Ito, Hiro and Leonardi, Stefano and Pagli, Linda and Prencipe, Giuseppe},
  title =	{{Front Matter, Table of Contents, Preface, Conference Organization}},
  booktitle =	{9th International Conference on Fun with Algorithms (FUN 2018)},
  pages =	{0:i--0:xi},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-067-5},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{100},
  editor =	{Ito, Hiro and Leonardi, Stefano and Pagli, Linda and Prencipe, Giuseppe},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.FUN.2018.0},
  URN =		{urn:nbn:de:0030-drops-87914},
  doi =		{10.4230/LIPIcs.FUN.2018.0},
  annote =	{Keywords: Front Matter, Table of Contents, Preface, Conference Organization}
}
Document
DOI: 10.4230/LIPIcs.FUN.2016.9
Analyzing and Comparing On-Line News Sources via (Two-Layer) Incremental Clustering

Authors: Francesco Cambi, Pierluigi Crescenzi, and Linda Pagli

Published in: LIPIcs, Volume 49, 8th International Conference on Fun with Algorithms (FUN 2016)

Abstract
In this paper, we analyse the contents of the web site of two Italian press agencies and of four of the most popular Italian newspapers, in order to answer questions such as what are the most relevant news, what is the average life of news, and how much different are different sites. To this aim, we have developed a web-based application which hourly collects the articles in the main column of the six web sites, implements an incremental clustering algorithm for grouping the articles into news, and finally allows the user to see the answer to the above questions. We have also designed and implemented a two-layer modification of the incremental clustering algorithm and executed some preliminary experimental evaluation of this modification: it turns out that the two-layer clustering is extremely efficient in terms of time performances, and it has quite good performances in terms of precision and recall.
Cite as

Francesco Cambi, Pierluigi Crescenzi, and Linda Pagli. Analyzing and Comparing On-Line News Sources via (Two-Layer) Incremental Clustering. In 8th International Conference on Fun with Algorithms (FUN 2016). Leibniz International Proceedings in Informatics (LIPIcs), Volume 49, pp. 9:1-9:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)

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@InProceedings{cambi_et_al:LIPIcs.FUN.2016.9,
  author =	{Cambi, Francesco and Crescenzi, Pierluigi and Pagli, Linda},
  title =	{{Analyzing and Comparing On-Line News Sources via (Two-Layer) Incremental Clustering}},
  booktitle =	{8th International Conference on Fun with Algorithms (FUN 2016)},
  pages =	{9:1--9:14},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-005-7},
  ISSN =	{1868-8969},
  year =	{2016},
  volume =	{49},
  editor =	{Demaine, Erik D. and Grandoni, Fabrizio},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FUN.2016.9},
  URN =		{urn:nbn:de:0030-drops-58777},
  doi =		{10.4230/LIPIcs.FUN.2016.9},
  annote =	{Keywords: text mining, incremental clustering, on-line news}
}
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