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  1. No Access

    Chapter and Conference Paper

    Centrality Speeds the Subgraph Isomorphism Search Up in Target Aware Contexts

    The subgraph isomorphism (SubGI) problem is known to be a NP-Complete problem. Several methodologies use heuristic approaches to solve it, differing into the strategy to search the occurrences of a graph into ...

    Vincenzo Bonnici, Simone Caligola in Computational Intelligence Methods for Bio… (2020)

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    Chapter and Conference Paper

    On the Simulation and Automatic Parametrization of Metabolic Networks Through Electronic Design Automation

    This work presents a platform for the modelling, simulation and automatic parametrization of semi-quantitative metabolic networks. Starting from a network modelled through Petri Nets (PN) and represented in SB...

    Nicola Bombieri, Antonio Mastrandrea in Computational Intelligence Methods for Bio… (2020)

  3. No Access

    Chapter and Conference Paper

    A Reliable Method to Remove Batch Effects Maintaining Group Differences in Lymphoma Methylation Case Study

    The amount of biological data is increasing and their analysis is becoming one of the most challenging topics in the information sciences. Before starting the analysis it is important to remove unwanted variab...

    Giulia Pontali, Luciano Cascione in Bioinformatics and Biomedical Engineering (2019)

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    Article

    Fast analytical methods for finding significant labeled graph motifs

    Network motif discovery is the problem of finding subgraphs of a network that occur more frequently than expected, according to some reasonable null hypothesis. Such subgraphs may indicate small scale interact...

    Giovanni Micale, Rosalba Giugno, Alfredo Ferro in Data Mining and Knowledge Discovery (2018)

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    Chapter

    gLabTrie: A Data Structure for Motif Discovery with Constraints

    Motif discovery is the problem of finding subgraphs of a network that appear surprisingly often. Each such subgraph may indicate a small-scale interaction feature in applications ranging from a genomic interac...

    Misael Mongioví, Giovanni Micale, Alfredo Ferro, Rosalba Giugno in Graph Data Management (2018)

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    Chapter and Conference Paper

    Dynamic Modeling and Simulation of Leukocyte Integrin Activation through an Electronic Design Automation Framework

    Model development and analysis of biological systems is recognized as a key requirement for integrating in-vitro and in-vivo experimental data. In-silico simulations of a biochemical model allows one to test d...

    Nicola Bombieri, Rosario Distefano in Computational Methods in Systems Biology (2014)

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    Chapter

    Computational Approaches to RNAi and Gene Silencing

    The discovery of small regulatory RNAs in the past few years has deeply changed the RNA molecular biology, revealing more complex pathways involved in the regulation of gene expression and in the defense of th...

    Alessandro Laganà, Rosalba Giugno in From Linear Operators to Computational Bio… (2013)

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    Chapter and Conference Paper

    Business Process Model Retrieval Based on Graph Indexing Method

    Nowadays, business process reuse is very important and necessary inside large organizations that continually increase their process collections. Therefore, an efficient system to manage and search for concrete...

    Daniel Felipe Rivas, David S. Corchuelo in Business Process Management Workshops (2011)

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    Chapter and Conference Paper

    MySQL Data Mining: Extending MySQL to Support Data Mining Primitives (Demo)

    The development of predictive applications built on top of knowledge bases is rapidly growing, therefore database systems, especially the commercial ones, are boosting with native data mining analytical tools....

    Alfredo Ferro, Rosalba Giugno in Knowledge-Based and Intelligent Informatio… (2010)

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    Chapter and Conference Paper

    An Efficient Duplicate Record Detection Using q-Grams Array Inverted Index

    Duplicate record detection is a crucial task for data cleaning process in data warehouse systems. Many approaches have been presented to address this problem: some of these rely on the accuracy of the resulted...

    Alfredo Ferro, Rosalba Giugno in Data Warehousing and Knowledge Discovery (2010)

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    Chapter and Conference Paper

    BitCube: A Bottom-Up Cubing Engineering

    Enhancing on line analytical processing through efficient cube computation plays a key role in Data Warehouse management. Hashing, grou** and mining techniques are commonly used to improve cube pre-computati...

    Alfredo Ferro, Rosalba Giugno in Data Warehousing and Knowledge Discovery (2009)

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    Chapter and Conference Paper

    Multiple-Winners Randomized Tournaments with Consensus for Optimization Problems in Generic Metric Spaces

    Extensions of the randomized tournaments techniques introduced in [6,7] to approximate solutions of 1-median and diameter computation of finite subsets of general metric spaces are proposed. In the linear algo...

    Domenico Cantone, Alfredo Ferro, Rosalba Giugno in Experimental and Efficient Algorithms (2005)

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    Chapter

    Efficient Boundary Values Generation in General Metric Spaces for Software Component Testing

    One of the most classical and successful software testing strategies is that of testing boundary values in the input domain (Reid 1997). In this paper we introduce a notion of boundary values for a finite subs...

    Alfredo Ferro, Rosalba Giugno, Alfredo Pulvirenti in Verification: Theory and Practice (2003)

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    Chapter and Conference Paper

    P- \( \mathcal{S}\mathcal{H}\mathcal{O}\mathcal{Q} \) (D): A Probabilistic Extension of \( \mathcal{S}\mathcal{H}\mathcal{O}\mathcal{Q} \) (D) for Probabilistic Ontologies in the Semantic Web

    Ontologies play a central role in the development of the semantic web, as they provide precise definitions of shared terms in web resources. One important web ontology language is DAML+OIL; it has a formal sem...

    Rosalba Giugno, Thomas Lukasiewicz in Logics in Artificial Intelligence (2002)