IMIS, R&D Project Details: LeMPEM

Contact person: <a href='/index.php?option=com_ipsyp&amp;view=member&amp;member_id=12&amp;lang=en'>Timos Sellis
Start date: 01-04-2008
Duration: 3 years
Programme: FP7 People
Funding: 45 KEuros
IMIS funding: 45 KEuros

	LeMPEM
	Web Graph: Learning Models for Prediction and Evolution Monitoring

	Completed
	R&D Project - European

Contact person: Timos Sellis Start date: 01-04-2008 Duration: 3 years Programme: FP7 People Funding: 45 KEuros IMIS funding: 45 KEuros

Data intensive systems flourish in the last decades with an ever increasing rate of data production. A characteristic such case is the Web graph. Given the dynamism of the Web we aim to study the Web graph in terms of learning models and monitoring its evolution. The main problems we study are: Ιdentification of trends and patterns in the web graph, using the spectral properties of the evolving web adjacency matrix. Μonitoring of web pages' ranking over time, and prediction of pages web ranking. Learn models for the evolving web graph with statistical learning techniques. The results of the proposed research will be a framework of approaches and algorithms that will enable effective and efficient: - Query based top-k list predictions (future and historical ones) - Prediction based crawling: based on our ranking predictive modeling, crawling resources can be optimized maintaining at the same time a satisfactory top-k quality. All the above are profoundly beneficial for resource management in the context of large scale Web search, and the added value of the above will be the potential use of these techniques by the Web search industry.

IMIS paper received best paper award at DBKDA 2013

IMIS paper receives best paper award at the international conference SSDBM 20122012

Diploma theses 2012-2013 announced

IMIS poster receives best poster award at the international conference ACM GIS 2012

GeoKnow project started at December 2012

Open Data Day 2013 - Assessment