SAX-VSM public release, visit our website for detail

Motiflets

Experiments for "Distributed Convolutional Dictionary Learning (DiCoDiLe): Pattern Discovery in Large Images and Signals"

Gitbook version: https://pr0x2b.github.io/masters_thesis_on_global_terrorism/

Scalable Insets for HiGlass: a new technique for interactively exploring and navigating large numbers of annotated patterns in multiscale visual spaces such as gigapixel images, matrices, or maps.

Data Mining project 2020/2021 @ University of Pisa

PENNER: Pattern-enhanced Nested Named Entity Recognition in Biomedical Literature (BIBM'18)

Unsupervised Learning Projects – Research-oriented Python portfolio exploring clustering, customer segmentation, pattern discovery, and evaluation on real-world datasets using KMeans, DBSCAN, Agglomerative, and divisive methods.

Package provides java implementation of frequent pattern mining algorithms such as apriori, fp-growth

Social Media Analysis for the Discovery of Interaction Patterns

Fema: flexible evolutionary multi-faceted analysis for dynamic behavioral pattern discovery

Capturing Structure Implicitly from Noisy Time-Series having Limited Data

Package provides java implementation of sequential pattern mining algorithms