2020
Vassiliou, Alice G; Georgakopoulou, Christina; Papageorgiou, Alexandra; Georgakopoulos, Spiros; Goulas, Spiros; Paschalis, Theodoros; Paterakis, Panagiotis; Gallos, Parisis; Kyriazis, Dimos; Plagianakos, Vassilis
Health in All Policy Making Utilizing Big Data Journal Article
In: Acta Informatica Medica, vol. 28, no. 1, pp. 65, 2020.
@article{vassiliou2020health,
title = {Health in All Policy Making Utilizing Big Data},
author = {Alice G Vassiliou and Christina Georgakopoulou and Alexandra Papageorgiou and Spiros Georgakopoulos and Spiros Goulas and Theodoros Paschalis and Panagiotis Paterakis and Parisis Gallos and Dimos Kyriazis and Vassilis Plagianakos},
year = {2020},
date = {2020-01-01},
journal = {Acta Informatica Medica},
volume = {28},
number = {1},
pages = {65},
publisher = {The Academy of Medical Sciences of Bosnia and Herzegovina},
keywords = {Big Data},
pubstate = {published},
tppubtype = {article}
}
2019
Vrahatis, A G; Dimitrakopoulos, G N; Tasoulis, S K; Georgakopoulos, S V; Plagianakos, V P
Single-cell regulatory network inference and clustering from high-dimensional sequencing data Proceedings Article
In: 2019 IEEE International Conference on Big Data (Big Data), pp. 2782-2789, 2019.
@inproceedings{9006016,
title = {Single-cell regulatory network inference and clustering from high-dimensional sequencing data},
author = {A G Vrahatis and G N Dimitrakopoulos and S K Tasoulis and S V Georgakopoulos and V P Plagianakos},
doi = {10.1109/BigData47090.2019.9006016},
year = {2019},
date = {2019-01-01},
booktitle = {2019 IEEE International Conference on Big Data (Big Data)},
pages = {2782-2789},
keywords = {Big Data},
pubstate = {published},
tppubtype = {inproceedings}
}
2016
Wang, L; Tasoulis, S; Roos, T; Kangasharju, J
Kvasir: Scalable Provision of Semantically Relevant Web Content on Big Data Framework Journal Article
In: IEEE Transactions on Big Data, vol. 2, no. 3, pp. 219-233, 2016.
@article{7462177,
title = {Kvasir: Scalable Provision of Semantically Relevant Web Content on Big Data Framework},
author = {L Wang and S Tasoulis and T Roos and J Kangasharju},
doi = {10.1109/TBDATA.2016.2557348},
year = {2016},
date = {2016-01-01},
journal = {IEEE Transactions on Big Data},
volume = {2},
number = {3},
pages = {219-233},
keywords = {Big Data, Machine Learning},
pubstate = {published},
tppubtype = {article}
}
2015
Wang, Liang; Tasoulis, Sotiris; Roos, Teemu; Kangasharju, Jussi
Kvasir: Seamless Integration of Latent Semantic Analysis-Based Content Provision into Web Browsing Proceedings Article
In: Proceedings of the 24th International Conference on World Wide Web, pp. 251–254, Association for Computing Machinery, Florence, Italy, 2015, ISBN: 9781450334730.
@inproceedings{10.1145/2740908.2742825,
title = {Kvasir: Seamless Integration of Latent Semantic Analysis-Based Content Provision into Web Browsing},
author = {Liang Wang and Sotiris Tasoulis and Teemu Roos and Jussi Kangasharju},
url = {https://doi.org/10.1145/2740908.2742825},
doi = {10.1145/2740908.2742825},
isbn = {9781450334730},
year = {2015},
date = {2015-01-01},
booktitle = {Proceedings of the 24th International Conference on World Wide Web},
pages = {251–254},
publisher = {Association for Computing Machinery},
address = {Florence, Italy},
series = {WWW '15 Companion},
abstract = {The Internet is overloading its users with excessive information flows, so that effective content-based filtering becomes crucial in improving user experience and work efficiency. We build Kvasir, a semantic recommendation system, atop latent semantic analysis and other state-of-art technologies to seamlessly integrate an automated and proactive content provision service into web browsing. We utilize the power of Apache Spark to scale up Kvasir to a practical Internet service. Herein we present the architecture of Kvasir, along with our solutions to the technical challenges in the actual system implementation.},
keywords = {Big Data},
pubstate = {published},
tppubtype = {inproceedings}
}
The Internet is overloading its users with excessive information flows, so that effective content-based filtering becomes crucial in improving user experience and work efficiency. We build Kvasir, a semantic recommendation system, atop latent semantic analysis and other state-of-art technologies to seamlessly integrate an automated and proactive content provision service into web browsing. We utilize the power of Apache Spark to scale up Kvasir to a practical Internet service. Herein we present the architecture of Kvasir, along with our solutions to the technical challenges in the actual system implementation.
