Fundación BBVA

Fundación BBVA | Conocimiento, innovación y sociedad

FICHA INVESTIGACIÓN

Multi-view clustering with Bayesian networks

Director de investigación:Pedro Larrañaga Múgica
Equipo de investigación:Irene Córdoba Sánchez, Marco Benjumeda Barquita, Luis Rodríguez Luján, Sergio Luengo Sánchez, Gherardo Varando, Joao Manuel Portadela da Gama, José Manuel Peña Palomar, Juan Antonio Férnandez del Pozo de Salamanca, Concepción Bielza Lozoya y Pedro Larrañaga Múgica
Entidades colaboradoras:Universidad Politécnica de Madrid
Fecha:01/10/2016 - 30/10/2018
Estado:En Curso
Descripción:

The main objective of this project is the investigation, development and innovation on multi-view clustering with Bayesian networks and their application with streaming data on a big data scale. Specific objectives can be categorized (see below) into methodological (O1 and O2), technological (O3), and applications (O4 and O5). A list of these specific objectives and sub-objectives follows:O1. New latent tree models learning algorithms for discrete, continuous and hybrid data.O1.1 New latent tree models learning algorithms for discrete and continuous data.O1.2 New latent tree models learning algorithms for hybrid (discrete and continuous) data.O2. Multi-view clustering of streaming data.O2.1 Latent tree models for the stream paradigm.O2.2 Adaptive models for multi-view clustering in the stream paradigm.O3. Develop a reusable and accessible framework that would be useful when dealing with big data challenges.O3.1 Design and implement algorithms for parallel processing of distributed and centralized streaming data.O3.2 Create this machine learning framework on top of well-known big data technologies for easier reusability and better performance.O3.3 Develop a visual tool for real-time monitoring of the generated adaptive models.O3.4 Distribute this framework on a public repository. O3.5 Investigate the combination of NoSQL databases (i.e Apache Cassandra) with the developed framework for storing streaming data.O4. Applications of multi-view clustering in neuroscience.O4.1 Multi-view clustering of Parkinson’s patients.O5. Applications of multi-view clustering in the industry.O5.1 Multi-view clustering of sensor network´s data.

Áreas:Ciencias Básicas y Tecnología
Subáreas:Ciencias Básicas y Tecnología

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