Alessandro Lulli

Orcid: 0000-0003-3881-8900

According to our database1, Alessandro Lulli authored at least 28 papers between 2014 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
A dynamic, interpretable, and robust hybrid data analytics system for train movements in large-scale railway networks.
Int. J. Data Sci. Anal., 2020

2019
Analysis of Movement Features in Multiplayer Online Battle Arenas.
J. Grid Comput., 2019

Mining Big Data with Random Forests.
Cogn. Comput., 2019

Train Overtaking Prediction in Railway Networks: A Big Data Perspective.
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

2018
Model driven generation of mobility traces for distributed virtual environments with TRACE.
Concurr. Comput. Pract. Exp., 2018

Large-Scale Railway Networks Train Movements: A Dynamic, Interpretable, and Robust Hybrid Data Analytics System.
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

2017
Distributed Graph Processing: Algorithms And Applications.
PhD thesis, 2017

Fast Connected Components Computation in Large Graphs by Vertex Pruning.
IEEE Trans. Parallel Distributed Syst., 2017

TELOS: An Approach for Distributed Graph Processing Based on Overlay Composition.
Scalable Comput. Pract. Exp., 2017

Scalable and flexible clustering solutions for mobile phone-based population indicators.
Int. J. Data Sci. Anal., 2017

A prediction-based distributed tracking protocol for video surveillance.
Proceedings of the 14th IEEE International Conference on Networking, Sensing and Control, 2017

ReForeSt: Random Forests in Apache Spark.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

A Spatial Analysis of Multiplayer Online Battle Arena Mobility Traces.
Proceedings of the Euro-Par 2017: Parallel Processing Workshops, 2017

Crack random forest for arbitrary large datasets.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
NG-DBSCAN: Scalable Density-Based Clustering for Arbitrary Data.
Proc. VLDB Endow., 2016

dragon: Multidimensional range queries on distributed aggregation trees.
Future Gener. Comput. Syst., 2016

Distributed graph processing: an approach based on overlay composition.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Improving population estimation from mobile calls: A clustering approach.
Proceedings of the IEEE Symposium on Computers and Communication, 2016

Current Flow Betweenness Centrality with Apache Spark.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2016

TRACE: Generating Traces from Mobility Models for Distributed Virtual Environments.
Proceedings of the Euro-Par 2016: Parallel Processing Workshops, 2016

2015
Layered Thinking in Vertex Centric Computations.
ERCIM News, 2015

Distributed Current Flow Betweenness Centrality.
Proceedings of the 2015 IEEE 9th International Conference on Self-Adaptive and Self-Organizing Systems, 2015

Static and Dynamic Big Data Partitioning on Apache Spark.
Proceedings of the Parallel Computing: On the Road to Exascale, 2015

Cracker: Crumbling large graphs into connected components.
Proceedings of the 2015 IEEE Symposium on Computers and Communication, 2015

A Multi-layer Framework for Graph Processing via Overlay Composition.
Proceedings of the Euro-Par 2015: Parallel Processing Workshops, 2015

Community Discovery for Interest Management in DVEs: A Case Study.
Proceedings of the Euro-Par 2015: Parallel Processing Workshops, 2015

Scalable k-NN based text clustering.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
Balanced Graph Partitioning with Apache Spark.
Proceedings of the Euro-Par 2014: Parallel Processing Workshops, 2014


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