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tHoops: A Multi-Aspect Analytical Framework Spatio-Temporal Basketball Data
Evangelos Papalexakis, Konstantinos Pelechrinis
During the past few years advancements in sports information systems and technology has allowed us to collect a number of detailed spatio-temporal data capturing various aspects of…
The Exact Solution to Rank-1 L1-norm TUCKER2 Decomposition
Panos P. Markopoulos, Dimitris G. Chachlakis, Evangelos E. Papalexakis
We study rank-1 {L1-norm-based TUCKER2} (L1-TUCKER2) decomposition of 3-way tensors, treated as a collection of matrices that are to be jointly decomposed. Our con…
SamBaTen: Sampling-based Batch Incremental Tensor Decomposition
Ekta Gujral, Ravdeep Pasricha, Evangelos E. Papalexakis
Tensor decompositions are invaluable tools in analyzing multimodal datasets. In many real-world scenarios, such datasets are far from being static, to the contrary they tend to gro…
Balancing Interpretability and Predictive Accuracy for Unsupervised Tensor Mining
Ishmam Zabir, Evangelos E. Papalexakis
The PARAFAC tensor decomposition has enjoyed an increasing success in exploratory multi-aspect data mining scenarios. A major challenge remains the estimation of the number of late…
SPARTan: Scalable PARAFAC2 for Large & Sparse Data
Ioakeim Perros, Evangelos E. Papalexakis, Fei Wang +4
In exploratory tensor mining, a common problem is how to analyze a set of variables across a set of subjects whose observations do not align naturally. For example, when modeling m…