Research Output per year
Fingerprint Dive into the research topics where Hannu Reittu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Random Graphs
Mathematics
Internet
Engineering & Materials Science
Graph Model
Mathematics
Decomposition
Engineering & Materials Science
Giant Component
Mathematics
Network Topology
Mathematics
Scalability
Engineering & Materials Science
Infinite Variance
Mathematics
Network
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Research Output 1998 2019
Analysis of large sparse graphs using regular decomposition of graph distance matrices
Reittu, H., Leskelä, L., Fiorucci, M. & Räty, T., 22 Jan 2019, Proceedings 2018 IEEE International Conference on Big Data, Big Data 2018. Institute of Electrical and Electronic Engineers IEEE, p. 3784-3792 9 p. 8622118. (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open Access
File
Decomposition
Structural properties
Statistical methods
Regular Decomposition of Large Graphs: Foundation of a Sampling Approach to Stochastic Block Model Fitting
Reittu, H., Norros, I., Räty, T., Bolla, M. & Bazsó, F., 7 Mar 2019, In : Data Science and Engineering. 4, 1, p. 44-60 17 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access
Sampling
Decomposition
Maximum likelihood
1
Citation
(Scopus)
9
Downloads
(Pure)
Hierarchical Multiplicative Model for Characterizing Residential Electricity Consumption
Kuusela, P., Norros, I., Reittu, H. & Piira, K., Mar 2018, In : Journal of Energy Engineering. 144, 3, 14 p.Research output: Contribution to journal › Article › Scientific › peer-review
File
Energy utilization
Electricity
Decomposition
household energy
electricity
Regular decomposition of large graphs and other structures: Scalability and robustness towards missing data
Reittu, H. & Norros, I., 12 Jan 2018, 2017 IEEE International Conference on Big Data (Big Data). Obradovic, Z., Baeza-Yates, R., Kepner, J., Nambiar, R., Wang, C., Toyoda, M., Suzumura, T., Hu, X., Cuzzocrea, A., Baeza-Yates, R., Tang, J., Zang, H., Nie, J-Y. & Ghosh, R. (eds.). Institute of Electrical and Electronic Engineers IEEE, Vol. 2018-January. p. 3352-3357 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Missing Data
Scalability
Visualization
Robustness
Decomposition
Regular decomposition of large graphs and other structures: scalability and robustness towards missing data
Reittu, H., Norros, I. & Bazsó, F., 2017.Research output: Contribution to conference › Other conference contribution › Scientific