79 citations · 541 across the 84 of their papers we have counts for
6 papers · 1 filter
Finding Favourite Tuples on Data Streams with Provably Few Comparisons
Guangyi Zhang, Nikolaj Tatti, Aristides Gionis
One of the most fundamental tasks in data science is to assist a user with unknown preferences in finding high-utility tuples within a large database. To accurately elicit the unkn…
Workload-Aware Materialization of Junction Trees
Martino Ciaperoni, Cigdem Aslay, Aristides Gionis +1
Bayesian networks are popular probabilistic models that capture the conditional dependencies among a set of variables. Inference in Bayesian networks is a fundamental task for answ…
Query the model: precomputations for efficient inference with Bayesian Networks
Cigdem Aslay, Martino Ciaperoni, Aristides Gionis +1
Variable Elimination is a fundamental algorithm for probabilistic inference over Bayesian networks. In this paper, we propose a novel materialization method for Variable Eliminatio…
Streaming Similarity Self-Join
Gianmarco De Francisci Morales, Aristides Gionis
We introduce and study the problem of computing the similarity self-join in a streaming context (SSSJ), where the input is an unbounded stream of items arriving continuously. The g…
Injecting Uncertainty in Graphs for Identity Obfuscation
Paolo Boldi, Francesco Bonchi, Aris Gionis +1
Data collected nowadays by social-networking applications create fascinating opportunities for building novel services, as well as expanding our understanding about social structur…
Query Significance in Databases via Randomizations
Markus Ojala, Gemma C. Garriga, Aristides Gionis +1
Many sorts of structured data are commonly stored in a multi-relational format of interrelated tables. Under this relational model, exploratory data analysis can be done by using r…