Special Session 1: DSMAA2021

Special Session on Data Stream Mining: Algorithms and Applications

34th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2021)


Data streams have attracted growing attention in the last decade to model data in motion, constantly growing, expanding, and changing its properties. Data streams are potentially unbounded collections of data instances that continuously flood information systems in real-time. The high speed of data streams demands fast on-the-fly processing as storing all data is not a viable option. Data must be analyzed and the knowledge incorporated into the model. Data streams are also subject to concept drift, a phenomenon where the properties of the data change unexpectedly over time. This includes the distribution of the data instances in the space, the location of the data classes, the discriminatory power of features, the emergence and disappearance of features and classes, and the ratios of instances among classes. Algorithms must accommodate such characteristics and reflect the changes in the properties of the data stream. New families of algorithms have been proposed in recent years to continuously adapt to new data while being robust to its intrinsic evolving nature. Applications of data stream mining include network monitoring, traffic management, log mining, sensor mining, airline industry, forecasting, etc.

Call for paper

We are inviting original research submissions (FULL 12 pages) and work-in-progress (SHORT 6 pages). Submitted papers must be formatted using the Springer LNCS/LNAI style.


Topics of interest include data stream algorithms and applications but not limited to:

● Big data stream mining
● Stream classification
● Stream regression
● Stream clustering
● Stream frequent pattern mining
● Ensembles for data streams
● Concept drift detectors
● Multi-dimensional streams
● Dimensionality reduction in streams
● Distributed stream mining
● Applications of data streams in engineering

Important Dates
● Paper Submission: December 15, 2020
● Notification of Acceptance: February 28, 2021
● Camera Ready Paper: April 1, 2021
● Conference Dates: July 26-29, 2021

Submission Site: https://cmt3.research.microsoft.com/IEAAIE2021/Submission/Index

● Alberto Cano, PhD, Department of Computer Science, Virginia Commonwealth University, Richmond, VA, USA
● Bartosz Krawczyk, PhD, Department of Computer Science, Virginia Commonwealth University, Richmond, VA, USA
● Jose Maria Luna, PhD, Department of Computer Science and Numerical Analysis, University of Cordoba, Cordoba, Spain
● Isaac Triguero, PhD, School of Computer Science, University of Nottingham, Nottingham, UK

Contact Alberto Cano <acano@vcu.edu>

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