A Knowledge-Based Framework for Information Extraction from Clinical Practice Guidelines

A Novel Biclustering Algorithm for the Discovery of Meaningful Biological Correlations between microRNAs and their Target Genes ⬇️

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A Relational Approach for Discovering Frequent Patterns with Disjunctions

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A Temporal Data Mining Approach for Discovering Knowledge on the Changes of the Patient’s Physiology

A Temporal Data Mining Framework for Analyzing Longitudinal Data

An Unsupervised Framework for Topological Relations Extraction from Geographic Documents

Collective Inference for Handling Autocorrelation in Network Regression

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Collective regression for handling autocorrelation of network data in a transductive setting

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Complex objects ranking

Computational annotation of UTR cis-regulatory modules through Frequent Pattern Mining

artículo científico publicado en 2009

Discovering Evolution Chains in Dynamic Networks

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Discovering Explanations from Longitudinal Data

Discovering Triggering Events from Longitudinal Data

Discovering process models through relational disjunctive patterns mining

Document Image Understanding through Iterative Transductive Learning

MBlab: Molecular Biodiversity Laboratory

Mining Dense Regions from Vehicular Mobility in Streaming Setting

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Mining Multiple Level Non-redundant Association Rules through Two-Fold Pruning of Redundancies

Mining Spatial Association Rules for Composite Motif Discovery

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Novelty Detection from Evolving Complex Data Streams with Time Windows

Project D.A.M.A.: Document Acquisition, Management and Archiving

Relational Frequent Patterns Mining for Novelty Detection from Data Streams

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Relational mining for discovering changes in evolving networks

Toward Geographic Information Harvesting: Extraction of Spatial Relational Facts from Web Documents

Transductive Learning of Logical Structures from Document Images

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