2nd Call For Papers 
IncrLearn Workshop: Incremental classification and clustering, 
concept drift, novelty detection in big/fast data context 

In conjunction with: 20th IEEE International Conference on Data Mining (ICDM 
2020) 
Workshop Website: https://sites.google.com/view/incrlearn 
ICDM 2020 Website: http://icdm2020.bigke.org 

The development of dynamic information analysis methods, like incremental 
classification/clustering, concept drift management and novelty detection 
techniques, is becoming a central concern in a bunch of applications whose main 
goal is to deal with information which is varying over time or with information 
flows that can oversize memory storage or computation capacity. These 
applications 
relate themselves to very various and highly strategic domains, including 
web mining, social network analysis, adaptive information retrieval, anomaly or 
intrusion detection, process control and management recommender systems, 
technological and scientific survey, and even genomic information analysis, 
in bioinformatics. 

The set of proposed incremental techniques includes, but is not limited to: 

* Novelty detection algorithms and techniques 
* Semi-supervised and active learning approaches 
* Machine learning for data streams 
* Adaptive hierarchical, k-means or density-based methods 
* Adaptive neural methods and associated Hebbian learning techniques 
* Incremental deep learning 
* Multiview diachronic approaches 
* Probabilistic approaches 
* Distributed approaches 
* Graph partitioning methods and incremental clustering approaches based on 
attributed graphs 
* Incremental clustering approaches based on swarm intelligence and genetic 
algorithms 
* Evolving classifier ensemble techniques 
* Incremental classification methods and incremental classifier evaluation 
* Dynamic feature selection techniques 
* Clustering of time series 
* Visualization methods for evolving data analysis results 

The list of application domain is includes, but it is not limited to: 

* Evolving textual information analysis 
* Evolving social network analysis 
* Dynamic process control and tracking 
* Intrusion and anomaly detection 
* Genomics and DNA microarray data analysis 
* Adaptive recommender and filtering systems 
* Scientometrics, webometrics and technological survey 

Important dates: 
* Paper submission: August 24, 2020 
* Notification of acceptance: September 17, 2020 
* Camera-ready (+ copyright): September 24, 2020 
* IncrLearn workshop: November 17, 2020 
* ICDM 2020 conference: November 17-20, 2020 

See Workshop Website for submission details. 

Contacts: 
For any additional info, please email to: 
* Pascal Cuxac - pascal.cu...@inist.fr 
* Jean-Charles Lamirel - lami...@loria.fr 
* Mustapha Lebbah - mustapha.leb...@lipn.univ-paris13.fr 


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