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 Fabio Fumarola

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Average citations per article2.47
Citation Count42
Publication count17
Publication years2008-2016
Available for download8
Average downloads per article201.75
Downloads (cumulative)1,614
Downloads (12 Months)182
Downloads (6 Weeks)27
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17 results found Export Results: bibtexendnoteacmrefcsv

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1
August 2016 Knowledge and Information Systems: Volume 48 Issue 2, August 2016
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 0

Sequential pattern mining is a computationally challenging task since algorithms have to generate and/or test a combinatorially explosive number of intermediate subsequences. In order to reduce complexity, some researchers focus on the task of mining closed sequential patterns. This not only results in increased efficiency, but also provides a way ...
Keywords: Closed sequences, Data mining, Itemset, Sequential pattern mining

2 published by ACM
July 2015 IDEAS '15: Proceedings of the 19th International Database Engineering & Applications Symposium
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 9,   Downloads (12 Months): 32,   Downloads (Overall): 140

Full text available: PDFPDF
Predicting the output power of renewable energy production plants distributed on a wide territory is a really valuable goal, both for marketing and energy management purposes. Vi-POC (Virtual Power Operating Center) project aims at designing and implementing a prototype which is able to achieve this goal. Due to the heterogeneity ...

3 published by ACM
September 2014 Journal on Computing and Cultural Heritage (JOCCH): Volume 7 Issue 4, February 2015
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 9,   Downloads (12 Months): 84,   Downloads (Overall): 413

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Studying Greek and Latin cultural heritage has always been considered essential to the understanding of important aspects of the roots of current European societies. However, only a small fraction of the total production of texts from ancient Greece and Rome has survived up to the present, leaving many gaps in ...
Keywords: evolution discovery, Epigraphy, novelty pattern mining

4
September 2013
Bibliometrics:
Citation Count: 1

Sensor networks comprise of a number of sensors installed across a spatially distributed network, which gather information and periodically feed a central server with the measured data. The server monitors the data, issues possible alarms and computes fast aggregates. As data analysis requests may concern both present and past data, ...

5 published by ACM
September 2012 ACM SIGHIT Record: Volume 2 Issue 2, September 2012
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 2,   Downloads (12 Months): 21,   Downloads (Overall): 106

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Advances of high throughput technologies have yielded the possibility to investigate human cells of healthy and morbid ones at different levels. Consequently, this has made possible the discovery of new biological and biomedical data and the proliferation of a large number of databases. In this paper, we describe the IS-BioBank ...
Keywords: multiple myeloma, semantic similarity, biological data normalization, connectivity map

6
June 2011 IEA/AIE'11: Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part I
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 4

The problem of extracting structured data ( i.e . lists, record sets, tables, etc.) from the Web has been traditionally approached by taking into account either the underlying markup structure of a Web page or the visual structure of the Web page. However, empirical results show that considering the HTML ...
Keywords: web information integration, web lists, web mining

7
June 2011 ISMIS'11: Proceedings of the 19th international conference on Foundations of intelligent systems
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 4

Sequential pattern mining is an important data mining task with applications in basket analysis, world wide web, medicine and telecommunication. This task is challenging because sequence databases are usually large with many and long sequences and the number of possible sequential patterns to mine can be exponential. We proposed a ...
Keywords: data mining, sequential pattern discovery, sparse id-list

8 published by ACM
June 2011 SIGMOD '11: Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Publisher: ACM
Bibliometrics:
Citation Count: 4
Downloads (6 Weeks): 0,   Downloads (12 Months): 16,   Downloads (Overall): 216

Full text available: PDFPDF
WINACS (Web-based Information Network Analysis for Computer Science) is a project that incorporates many recent, exciting developments in data sciences to construct a Web-based computer science information network and to discover, retrieve, rank, cluster, and analyze such an information network. With the rapid development of the Web, huge amounts of ...
Keywords: WINACS, web mining, information networks

9 published by ACM
March 2011 ACM SIGKDD Explorations Newsletter: Volume 12 Issue 2, December 2010
Publisher: ACM
Bibliometrics:
Citation Count: 6
Downloads (6 Weeks): 0,   Downloads (12 Months): 5,   Downloads (Overall): 231

Full text available: PDFPDF
The discovery and extraction of general lists on the Web continues to be an important problem facing theWeb mining community. There have been numerous studies that claim to automatically extract structured data (i.e. lists, record sets, tables, etc.) from the Web for various purposes. Our own recent experiences have shown ...

10 published by ACM
March 2011 WWW '11: Proceedings of the 20th international conference companion on World wide web
Publisher: ACM
Bibliometrics:
Citation Count: 5
Downloads (6 Weeks): 1,   Downloads (12 Months): 4,   Downloads (Overall): 164

Full text available: PDFPDF
In this paper, we use the structural and relational information on the Web to find entity-pages. Specifically, given a Web site and an entity-page (e.g., department and faculty member homepage) we seek to find all of the entity-pages of the same type (e.g., all faculty members in the department). To ...
Keywords: semi-structured data, entity pages, parallel paths, web structure mining

11 published by ACM
March 2011 WWW '11: Proceedings of the 20th international conference companion on World wide web
Publisher: ACM
Bibliometrics:
Citation Count: 3
Downloads (6 Weeks): 6,   Downloads (12 Months): 13,   Downloads (Overall): 146

Full text available: PDFPDF
We consider the problem of automatically extracting general lists from the web. Existing approaches are mostly dependent upon either the underlying HTML markup or the visual structure of the Web page. We present HyLiEn an unsupervised, Hybrid approach for automatic List discovery and Extraction on the Web. It employs general ...
Keywords: web information integration, web lists, web mining

12 published by ACM
October 2010 CIKM '10: Proceedings of the 19th ACM international conference on Information and knowledge management
Publisher: ACM
Bibliometrics:
Citation Count: 5
Downloads (6 Weeks): 0,   Downloads (12 Months): 7,   Downloads (Overall): 198

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In this paper we propose a new knowledge management task which aims to map Web pages to their corresponding records in a structured database. For example, the DBLP database contains records for many computer scientists, and most of these persons have public Web pages; if we can map the database ...
Keywords: semi-structured data, mapping, web, link paths

13
November 2009 AI*IA '09:: Proceedings of the XIth International Conference of the Italian Association for Artificial Intelligence Reggio Emilia on Emergent Perspectives in Artificial Intelligence
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 1

Traditional algorithms for frequent itemset discovery are designed for static data. They cannot be straightforwardly applied to data streams which are continuous, unbounded, usually coming at high speed and often with a data distribution which changes with time. The main challenges of frequent pattern mining in data streams are: avoiding ...
Keywords: Frequent Itemset Discovery, Sliding Window Model, Data Stream Mining

14
October 2009 DS '09: Proceedings of the 12th International Conference on Discovery Science
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 2

Some challenges in frequent pattern mining from data streams are the drift of data distribution and the computational efficiency. In this work an additional challenge is considered: data streams describe complex objects modeled by multiple database relations. A multi-relational data mining algorithm is proposed to efficiently discover approximate relational frequent ...

15
August 2009 ISMIS '09: Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 5

Novelty detection in data stream mining denotes the identification of new or unknown situations in a stream of data elements flowing continuously in at rapid rate. This work is a first attempt of investigating the anomaly detection task in the (multi-)relational data mining. By defining a data block as the ...

16
July 2009 MLDM '09: Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 0

We face the problem of novelty detection from stream data, that is, the identification of new or unknown situations in an ordered sequence of objects which arrive on-line, at consecutive time points. We extend previous solutions by considering the case of objects modeled by multiple database relations. Frequent relational patterns ...

17
December 2008 ICDMW '08: Proceedings of the 2008 IEEE International Conference on Data Mining Workshops
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

Nowadays, Small and Medium Enterprises (SMEs) are forced to compete on a global market and to make strategic decisions in short periods of time. In order to allow SMEs access to information technologies which can support their competition on a global scale, public administrations are fostering the setting up of ...
Keywords: Knowledge discovery framework and process, Distributed and parallel data mining/knowledge discovery, collaborative data mining, Frameworks for Business Intelligence (BI).



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