6 citations · 9 across the 4 of their papers we have counts for
7 papers
Biclustering and Boolean Matrix Factorization in Data Streams
Stefan Neumann, Pauli Miettinen
We study the clustering of bipartite graphs and Boolean matrix factorization in data streams. We consider a streaming setting in which the vertices from the left side of the graph…
Recent Developments in Boolean Matrix Factorization
Pauli Miettinen, Stefan Neumann
The goal of Boolean Matrix Factorization (BMF) is to approximate a given binary matrix as the product of two low-rank binary factor matrices, where the product of the factor matric…
Boolean matrix factorization meets consecutive ones property
Nikolaj Tatti, Pauli Miettinen
Boolean matrix factorization is a natural and a popular technique for summarizing binary matrices. In this paper, we study a problem of Boolean matrix factorization where we additi…
Hybrid ASP-based Approach to Pattern Mining
Sergey Paramonov, Daria Stepanova, Pauli Miettinen
Detecting small sets of relevant patterns from a given dataset is a central challenge in data mining. The relevance of a pattern is based on user-provided criteria; typically, all…
Latitude: A Model for Mixed Linear-Tropical Matrix Factorization
Sanjar Karaev, James Hook, Pauli Miettinen
Nonnegative matrix factorization (NMF) is one of the most frequently-used matrix factorization models in data analysis. A significant reason to the popularity of NMF is its interpr…
Reductions for Frequency-Based Data Mining Problems
Stefan Neumann, Pauli Miettinen
Studying the computational complexity of problems is one of the - if not the - fundamental questions in computer science. Yet, surprisingly little is known about the computational…