Search Results - "Basta, Stefano"

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  1. 1

    Reducing distance computations for distance-based outliers by Angiulli, Fabrizio, Basta, Stefano, Lodi, Stefano, Sartori, Claudio

    Published in Expert systems with applications (01-06-2020)
    “…•The paper introduces the FastSolvingSet algorithm to discover outliers.•This algorithm computes the distance based outliers with no approximation.•The…”
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    Journal Article
  2. 2

    GPU Strategies for Distance-Based Outlier Detection by Angiulli, Fabrizio, Basta, Stefano, Lodi, Stefano, Sartori, Claudio

    “…The process of discovering interesting patterns in large, possibly huge, data sets is referred to as data mining, and can be performed in several flavours,…”
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    Journal Article
  3. 3

    Distributed Strategies for Mining Outliers in Large Data Sets by Angiulli, F., Basta, S., Lodi, S., Sartori, C.

    “…We introduce a distributed method for detecting distance-based outliers in very large data sets. Our approach is based on the concept of outlier detection…”
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    Journal Article
  4. 4

    Distance-based detection and prediction of outliers by Angiulli, F., Basta, S., Pizzuti, C.

    “…A distance-based outlier detection method that finds the top outliers in an unlabeled data set and provides a subset of it, called outlier detection solving…”
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    Journal Article
  5. 5

    Accelerating outlier detection with intra- and inter-node parallelism by Angiulli, Fabrizio, Basta, Stefano, Lodi, Stefano, Sartori, Claudio

    “…Outlier detection is a data mining task consisting in the discovery of observations which deviate substantially from the rest of the data, and has many…”
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    Conference Proceeding
  6. 6

    Fast outlier detection using a GPU by Angiulli, Fabrizio, Basta, Stefano, Lodi, Stefano, Sartori, Claudio

    “…The availability of cost-effective data collections and storage hardware has allowed organizations to accumulate very large data sets, which are a potential…”
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    Conference Proceeding
  7. 7
  8. 8

    High Quality True-Positive Prediction for Fiscal Fraud Detection by Basta, S., Fassetti, F., Guarascio, M., Manco, G., Giannotti, F., Pedreschi, D., Spinsanti, L., Papi, G., Pisani, S.

    “…In this paper we describe an experience resulting from the collaboration among data mining researchers, domain experts of the Italian revenue agency, and IT…”
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    Conference Proceeding