Μάθημα : Βig Data Analytics / Ανάλυση και Διαχείριση Χωροχρονικών Δεδομένων / Ανάλυση και Διαχείριση Μεγάλων και Πολυδιάστατων Δεδομένων / Εξόρυξη Δεδομένων Μεγάλης Κλίμακας / ΑΙ in Health / Ειδικά Θέματα Βάσεων Χωρικών και Χρονικών Δεδομένων και Εξόρυξης Γνώ

When is 'Nearest Neighbor' meaningful?

Unsupervised dimensionality reduction: Overview and recent advances

TWave: High-Order Analysis of Spatiotemporal Data

The extensibility framework in Microsoft StreamInsight.

Tensor spectral clustering for partitioning higher-order network structures.

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

Research on Data Mining Models for the Internet of Things

Representative Clustering of Uncertain Data

Regime shifts in streams: Real time forecasting of co evolving time sequences

Realistic, Mathematically Tractable graph Generation and Evolution, Using Kronecker Multiplication

Parameter-Free Spatial Data Mining Using MDL

On Data Mining, Compression, and Kolmogorov Complexity

Multidimensional Sequence Classification Based on Fuzzy Distances and Discriminant Analysis.

Mining Recent temporal patterns for event detection in multivariate time series data.

MFSE: A Meta-Fusion Model for Polypharmacy Side-Effect Prediction with Graph Neural Networks

Keeping it Short and Simple: Summarising Complex Event Sequences with Multivariate Patterns

Indexing multi-dimensional time-series with support for multiple distance measures

Graph-based visualization of sensitive medical data

FUTURE AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging

Frailsafe: An ICT platform for unobtrusive sensing of multi-domain frailty for personalized interventions

Fast subsequence matching in time-series databases

Fast Mining of a Network of Coevolving Time Series

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

Elastic Partial matching of Time Series

Discovery of Spatial Association Rules in Geographic Information Databases.

Detecting Subdimensional Motifs: An Efficient Algorithm for Generalized Multivariate Pattern Discovery

Dependency Clustering across measurement scales

An improved SqueezeNet model for the diagnosis of lung cancer in CT scans

Algorithms for Characterization and Trend Detection in Spatial Databases

A Multiresolution Symbolic Representation of Time Series

Locally Adaptive Dimensionality Reduction for Indexing Large Time Series Databases

Data-streams and histograms