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Refinado por: Base de dados/Biblioteca: Springer Nature - Springer Computer Science eBooks 2016 English International remover
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1
PHM: Mining Periodic High-Utility Itemsets
PHM: Mining Periodic High-Utility Itemsets
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PHM: Mining Periodic High-Utility Itemsets

Perner, Petra

Advances in Data Mining. Applications and Theoretical Aspects, 2016, Vol.9728, p.64-79 [Periódico revisado por pares]

Switzerland: Springer International Publishing AG

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2
Identifying and Characterizing Truck Stops from GPS Data
Identifying and Characterizing Truck Stops from GPS Data
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Identifying and Characterizing Truck Stops from GPS Data

Perner, Petra

Advances in Data Mining. Applications and Theoretical Aspects, 2016, Vol.9728, p.168-182 [Periódico revisado por pares]

Switzerland: Springer International Publishing AG

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3
Efficient Mining of High Average-Utility Itemsets with Multiple Minimum Thresholds
Efficient Mining of High Average-Utility Itemsets with Multiple Minimum Thresholds
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Efficient Mining of High Average-Utility Itemsets with Multiple Minimum Thresholds

Perner, Petra

Advances in Data Mining. Applications and Theoretical Aspects, 2016, Vol.9728, p.14-28 [Periódico revisado por pares]

Switzerland: Springer International Publishing AG

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4
The Computational Wine Wheel 2.0 and the TriMax Triclustering in Wineinformatics
The Computational Wine Wheel 2.0 and the TriMax Triclustering in Wineinformatics
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The Computational Wine Wheel 2.0 and the TriMax Triclustering in Wineinformatics

Perner, Petra

Advances in Data Mining. Applications and Theoretical Aspects, 2016, Vol.9728, p.223-238 [Periódico revisado por pares]

Switzerland: Springer International Publishing AG

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5
DDoS Attacks Detection in Cloud Computing Using Data Mining Techniques
DDoS Attacks Detection in Cloud Computing Using Data Mining Techniques
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DDoS Attacks Detection in Cloud Computing Using Data Mining Techniques

Perner, Petra

Advances in Data Mining. Applications and Theoretical Aspects, 2016, Vol.9728, p.197-211 [Periódico revisado por pares]

Switzerland: Springer International Publishing AG

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6
A Closed Frequent Subgraph Mining Algorithm in Unique Edge Label Graphs
A Closed Frequent Subgraph Mining Algorithm in Unique Edge Label Graphs
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A Closed Frequent Subgraph Mining Algorithm in Unique Edge Label Graphs

Perner, Petra

Machine Learning and Data Mining in Pattern Recognition, 2016, Vol.9729, p.43-57 [Periódico revisado por pares]

Switzerland: Springer International Publishing AG

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7
The WoMan Formalism for Expressing Process Models
The WoMan Formalism for Expressing Process Models
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The WoMan Formalism for Expressing Process Models

Perner, Petra

Advances in Data Mining. Applications and Theoretical Aspects, 2016, Vol.9728, p.363-378 [Periódico revisado por pares]

Switzerland: Springer International Publishing AG

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8
Mining Event Sequences from Social Media for Election Prediction
Mining Event Sequences from Social Media for Election Prediction
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Mining Event Sequences from Social Media for Election Prediction

Perner, Petra

Advances in Data Mining. Applications and Theoretical Aspects, 2016, Vol.9728, p.266-281 [Periódico revisado por pares]

Switzerland: Springer International Publishing AG

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9
A Probabilistic Matrix Factorization Method for Link Sign Prediction in Social Networks
A Probabilistic Matrix Factorization Method for Link Sign Prediction in Social Networks
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A Probabilistic Matrix Factorization Method for Link Sign Prediction in Social Networks

Perner, Petra

Machine Learning and Data Mining in Pattern Recognition, 2016, Vol.9729, p.415-420 [Periódico revisado por pares]

Switzerland: Springer International Publishing AG

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10
Extending Process Monitoring to Simultaneous False Alarm Rejection and Fault Identification (FARFI)
Extending Process Monitoring to Simultaneous False Alarm Rejection and Fault Identification (FARFI)
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Extending Process Monitoring to Simultaneous False Alarm Rejection and Fault Identification (FARFI)

Perner, Petra

Advances in Data Mining. Applications and Theoretical Aspects, 2016, Vol.9728, p.334-348 [Periódico revisado por pares]

Switzerland: Springer International Publishing AG

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