Updated submission deadline 5th February, 2015.
Scope and MotivationRecent development in ICT and sensor devices brings us a new form of intelligent systems called Cyber-Physical System (CPS). In CPS, physical entities such as humans, robots, cars, factories, houses interact and communicate with other entities in both physical- and cyber-worlds. The information processed in cyber-physical worlds are video images, voice/sounds, texts (e.g. documents, tweets, e-mails), control signals, sensor data, etc., and such data are continuously generated as “big stream data”. In general, such data are composed not only of explicit information on physical entities (e.g. location, translation, acceleration), but also of implicit information such as health conditions, emotion, and behaviors, which should be extracted from original sensor data. To acquire knowledge from the latter type of implicit information, autonomous machine learning and data mining methods that can learn from high-dimensional stream data are solicited for CPS.
The purpose of this special session is to share new ideas to develop autonomous machine learning and data mining methods for big stream data that are generated not only by connecting cyber-physical worlds but also within either of cyber- and physical- worlds.
TopicsA wide range of autonomous machine learning/data mining methods and applications for cyber-physical systems is covered, including but not limited to the followings:
Theoretical approaches to machine learning /data mining methods for cyber-physical systems
- Supervised/Unsupervised Learning
- Online/Incremental Learning
- Online Feature Selection/Extraction
- Online Clustering
- Active Learning
- Stream Data Mining
- Text Mining
- Time-Series Analysis
Applications of cyber-physical systems such as
- Human-Robot Interactions
- Smart Life Technologies (Smart Grids, Smart City, Smart Home, Smart Car, Smart Agriculture, etc.)
- Social Network Analysis (e.g. sentimental analysis, user profiling, etc.)
- Opinion Mining
- Emotion/Behavior Mining
- Person Attitude Mining
- Realty Mining
- February 5, 2015: Paper submission deadline
- March 15, 2015: Notification of paper acceptance
- April 15, 2015: Camera-ready deadline
- July 12-17, 2015: Conference days
- Manuscripts submitted to special sessions should be done through the paper submission website of IJCNN 2015 as regular submissions. Please follow the instructions below:Go to http://ieee-cis.org/conferences/ijcnn2015/upload.php to submit a paper to IJCNN 2015.
- Be sure to set the "Main research topic" to “SS32: Autonomous Machine Learning for Cyber-Physical Systems”. (The special sessions are found at the bottom of the list.)
For more information, please contact the Special Session organizers:
- Seiichi Ozawa (firstname.lastname@example.org), Kobe University, Japan
- Nistor Grozavu (email@example.com), LIPN, Paris 13 University, Villetaneuse, France
- Nicoleta Rogovschi (firstname.lastname@example.org), LIPADE, Paris Descartes University, Paris, France
- Shogo Okada (email@example.com), Tokyo Institute of Technology, Japan