I am attending the Data Science Summer School 2019 in Pisa, and presenting a tutorial on "Polarization on social media".
Together with Ira Assent, Carlotta Domeniconi, and Eyke Hüllermeier we are serving as guest editors of the ECML PKDD 2020 journal track. Accepted papers will appear in the Machine Learning on Data Mining and Knowledge Discovery journals, and they will also be presented in the ECML PKDD 2020 conference. You may consider submitting.
The project "Machine learning meets Database Systems (MLDB)," received funding from the Academy of Finland. The consortium consists of the Data Mining group in Aalto, and the research group of prof. Michael Mathioudakis in the University of Helsinki.
I am attending the Web Conference 2019 in San Francisco.
My project application "An algorithmic framework for reducing bias and polarization in online media (REBOUND)" was awarded an ERC Advanced Grant.
I presented a keynote in the Complex Networks 2018 conference, in Cambridge, UK.
I gave a talk in Nokia Bell Labs, Cambridge, UK, on "Active network alignment".
I gave a keynote presentation in International Workshop on Decision Making and Recommender Systems 2018 on "Diversity maximization in social networks".
Happy and honored to be nominated an ISI Foundation fellow.
Five papers of our group have been accepted at the
IEEE International Conference on Data Mining (ICDM) 2018:
"Tell me something my friends do not know: Diversity maximization in social networks", by Antonis Matakos and Aristides Gionis,
"Robust cascade reconstruction by Steiner-tree sampling", by Han Xiao, Cigdem Aslay, and Aristides Gionis,
"Finding events in temporal networks: Segmentation meets densest-subgraph discovery", by Polina Rozenshtein, Francesco Bonchi, Aristides Gionis, Mauro Sozio, and Nikolaj Tatti,
"Explainable time series tweaking via irreversible and reversible temporal transformations", by Isak Karlsson, Jonathan Rebane, Panagiotis Papapetrou, and Aristides Gionis, and
"Maximizing the diversity of exposure in a social network", by Cigdem Aslay, Antonis Matakos, Esther Galbrun, and Aristides Gionis.
Our work on filter bubbles in Nyt (in Finnish).
Giving a presentation on Mining temporal networks in the First International Workshop on Online Social Networks and Media: Network Properties and Dynamics (OSNED), collocated with the Web Conference 2018 in Lyon.
Giving a presentation on Computational problems in mining urban data in the Machine Learning and Data Analytics Symposium (MLDAS) 2018 in Doha.
The project "Adaptive and intelligent data", received funding from the Academy of Finland. The consortium consists of the Data Mining group in Aalto, and the Collaborative Networking group, led by professor Jussi Kangasharju in the University of Helsinki.
I gave a presentation in the HIIT machine learning coffee seminar on "computational challenges in analyzing and moderating online social discussions".
The project "Active knowledge discovery in graphs" received funding from the Academy of Finland.
I gave a talk in the "Tor Vergata" University of Rome on "Dense subgraph discovery".
I gave a talk in the "Sapienza" University of Rome on Mining temporal networks.
During October and November 2016 I am visiting Sapienza, University of Rome.
Attending the workshop What's new in networks? -- Building bridges between computational, mathematical and statistical network analysis, organized by the LMU Center for Advanced Studies (CAS).
Giving a short course on "Basic principles of algorithmic graph mining" in the 15th Estonian Summer School on Computer and System Science.
I will give a short course on "Algorithmic methods for mining large graphs" in the Bertinoro International Spring School 2016.
Attending the WWW PC meeting in Oxford. Dinner at Oriel College.
In École Polytechnique, in the PhD committee of Fragkiskos Malliaros.
Open positions in the Data Mining group.
The project Network structure from group response (Nestor) received funding from the Academy of Finland.
Are you working on algorithms for evolving networks? Consider submitting a paper on the upcoming special issue of Internet Mathematics.
I will attend the Summer School on Operational Research and Applications in Nizhny Novgorod, Russia, lecturing on graph mining.
Attending the first summer workshop of the center for semantic web research in Santiago, Chile.
Started serving in the editorial board of the ACM Transactions on Knowledge Discovery from Data (TKDD).
Visited Telecom Innovation Labs and gave a talk in TU Berlin with title "Discovering events and communities in activity networks".
The data mining group is starting the Northern bytes blog.
Recipients of the 2014 Yahoo Faculty Research and Engagement Program (FREP) award.
New "Analytics and Data Science" module/minor in Aalto.
"Structured prediction of network response",
will appear in ICML 2014.
Problem studied: given an individual performing an action in a social network, who else will perform the same action in the network?
Kaggle competition for our "matrix approximations" course.
I am an invited lecturer in the summer school of Network analysis and applications in Lunchon, France, June 21--July 5.
This semester I am teaching a seminar on "Matrix approximations" with Nikolaj Tatti.
In the committe of the PhD defense of Hoang Thanh Lam in TU/e.
Launching Helsinki algorithms seminar on Fridays.
T-61.5060 Algorithmic Methods of Data Mining course is starting this week.
I will be attending and speaking in the launching symposium of the Data Science Center Eindhoven (DSC/e).
The slides from the KDD 2013 tutorial on "modeling and mining large graphs" are available.
ECML PKDD 2013 accepted papers. Strong presence from Helsinki with eleven papers.
I gave my inauguration talk in the Aalto series of tenured professors' installation lectures. The title of the talk was "data analysis for smart living".
During spring 2013 I am giving a seminar with Juho Rousu on "learning and mining with graphs".