[Air-L] PhD opportunity - University of Technology of Troyes (France) - Big Data

[Babiga Birregah]

[apologies for cross postings]

[I'm recruiting a new PhD position - please see below, and contact me for
any questions using my professional email address]

*Adaptive Machine Learning for the Analysis of Dynamic Data Stream in
Social Networks*

The analysis of scalable data using classification methods faces the
challenge of the evolution of the knowledge over time. In the study of
extremely variable phenomena such as social networks, the learning data
(for the supervised case) and the classification space may become obsolete
as time progresses. In the case of local modifications, there are
incremental learning rules (Ning, 2007) to handle the local transition from
one mode to another. In the case of Social network data stream analysis one
needs to design efficient algorithms  for  the  monitoring  of scalable
classes generated  from  local  or  global  changes in  the dataset
(nodes/links addition or removal). Very often in these cases, the profiles
of a community can join or change community while retaining or
substantially modifying their behavior (attributes). In addition, the class
update stage is very dependent on the performance of the algorithm
currently applied before the updating of classes.

*Objective: *This thesis aims at proposing an algorithm for dynamic
classification of social data (interactions and topics) which integrates an
evidence accumulation approach to contain the inter-class instability. The
results of this study will be applied to the detection/monitoring of
persistent communities in social networks.

*Keywords:* Social networks, Community detection, Classification, data
mining, SVM, k-means.

*To Apply:* Applicants should send:
- a CV,
- a one-page letter of interest stating candidate experience in data mining
and at least one project in relation to the subject.
- the name and contact information of one or two references,

*Contact:*
Email: babiga.birregah at utt.fr , Phone (office): +33 3 25 71 58 69 Skype:
babiga.birregah

References:
Ning, H., Xu, W., Chi, Y., Gong, Y., & Huang, T. S. (2007, January).
Incremental Spectral Clustering with Application to Monitoring of Evolving
Blog Communities. In SDM (pp. 261-272).

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-- 
BIRREGAH Babiga, Phd
Enseignant-Chercheur/ Assistant professor
ICD UMR-CNRS 6281 (Université de Technologie de Troyes)

Joint Research Unit in Sciences and Technologies for Risk Management
Department of Operational Research, Applied Statistics and Simulation
UTT - ROSAS LM2S H107
12 Rue Marie Curie
CS 42060
10004 TROYES CEDEX
Tél. +33 (0) 325715869
Fax. +33 (0) 325715649
QR: http://goo.gl/Et0A4