Workshop - MLSDA

The 2nd International Workshop on Machine Learning for Sensory Data Analysis (MLSDA - 2014)

December 1-5, 2014, Gold Coast, Australia


Recent advances in the wireless technology and sensor networks have given both new opportunities and new challenges to data networking and mining. Large amounts of sensory data are being gathered and transmitted for various applications and these need to be analyzed and utilized effectively. On these other hand, the sensory and networking data exchanged between sensing devices can be explored for smart and efficient in-network and application designs. The nature of the sensing environment, however, has a number of constraints that differentiate it from conventional machine learning settings. Sensory data are generated in continuous streams from a dynamic environment, and stored in a distributed manner. Meanwhile, sensing devices are subject to limitation of power, memory, and communication bandwidth. To address these challenges there is a wide range of machine learning techniques that need to be adapted and utilized. Following the successful inaugural MLSDA workshop in 2013 held in Dunedin NZ, MLSDA’14 joins PRICAI'14 and PRIMA'14 in the sunny Gold Coast to provide a golden opportunity for researchers working in relevant fields to share their research progress, and establish potential collaboration for the future.

Topics of this workshop include, but are not limited to, the theory and application of machine learning in:


  •     Time series analysis
  •     Motif detection
  •     Anomaly detection
  •     Online data stream mining
  •     Concept drift detection and handling
  •     Feature extraction and dimension reduction
  •     Ensemble learning
  •     Sensory data modeling and prediction
  •     Smart environment
  •     Self-organization
  •     Distributed signal processing and compressed sensing
  •     Resource management and task scheduling
  •     Energy efficiency and cloud offloading
  •     Reinforcement learning in WSNs
  •     Privacy-preserving data mining
  •     Multimodal signal processing
  •     Activity detection and behaviour classification
  •     Localization
  •     Intrusion detection
  •     Multi-agent approach for sensory data analysis
  •     Applications and real-world deployment issues


MLSDA'14 adopts the same double-blind reviewing process as that of PRICAI'14. It is expected that the conference proceedings will be published by ACM ICPS and hosted by the ACM Digital library as in 2013. 

Important Dates

  • Workshop Papers due:             October 17, 2014
  • Notification of Acceptance:       October 31, 2014
  • Workshop Proceedings due:     November 14, 2014
  • Workshop Dates:                    December 1 or 2, 2014