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ELWA 2014 - International Workshop on Ensemble Learning for Web Analytics (ELWA 2014)



VenueWarsaw, Poland Poland



Topics/Call fo Papers

Classifier and clustering ensembles are popular data mining methods that combine many individual models, and final classification or clustering results depend on the combined outputs of individual models. These methods are very robust and accurate as they combine the results of many individual models, and consequently they have shown great promise in different kinds of learning problems, including concept drift problems, concept shift problems, one class problems, online learning, and big data analysis. Ensembles give us flexibility to combine various models according to the nature of the problems. On the other hand, Web analytics has different kinds of learning problems which may require the strength of more than one learning models. Therefore, development of new classifier and cluster ensemble methods, and applications of existing ensemble methods for Web analytics are active research areas. Though, a large number of ensemble methods have been proposed for Web analytics, selecting a right ensemble method or creating a new ensemble method for a given problem is a challenging task.
Call for Papers
The purpose of this workshop is to attract researchers and professionals from Classifier ensembles, Clustering ensembles and Web analytics fields to share their knowledge, report and advances in these fields. We invite submissions in algorithms, theory and models for applying classification and cluster ensembles in Web analytics domain. Topics of interest include, but are not limited to:
Classifier ensembles
Cluster ensembles
Ensemble learning
Ensemble methods for Web content mining
Ensemble methods for Web usage mining
Ensemble methods for Web structure mining
Ensemble methods for Opinion mining and sentiment analysis
Ensemble methods for social network analysis and mining
Ensemble methods for Web page categorization
Ensemble methods for recommender systems
Ensemble methods for advice mining
Ensemble methods for big data analytics
Program Committee:
Workshop Chairs:
Dr. Muhammad Abulaish
Department of Computer Science
Jamia Millia Islamia (A Central University)
Jamia Nagar, New Delhi-25, India
Dr. Amir Ahmad
Department of Computer Science
King Abdulaziz University
Rabigh-21911, Saudi Arabia
Contact Us
Dr. Muhammad Abulaish

Last modified: 2014-01-31 23:14:29