DGCC 2018 - 2018 International Workshop on Data-driven Granular Cognitive Computing

The 2018 International Workshop on Data-driven Granular Cognitive Computing (DGCC2018) provides a unique platform for researchers focus on granular cognitive computing, knowledge discovering and data mining from heterogeneous and autonomous information sources, to share and disseminate resent research progress.
The processing of fragmented knowledge with complex and evolving relationships from heterogeneous, autonomous information sources demands innovations in theory, algorithm and applications. Cognitive computing, inspired by human’s granularity thinking and cognition law of “global precedence”, is the third and most transformational phase in computing’s evolution, after the two distinct eras of computing—the tabulating era and the programming era. Data-driven granular cognitive computing (DGCC) has attracted extensive research recently. While statistical machine learning algorithms learn patterns with a “bottom up” style which needs huge amount of data, we human-beings cognize the world with a “global precedence” mechanism in a much more effective and efficient way. Comparing with the statistical machine learning and data mining, there is still a long way to go before we find out how human cognition works.Thus, we invite all researchers and practitioners to participate in this event and share, contribute, and discuss the emerging challenges in granular cognitive computing and knowledge engineering with complex and evolving relationships from heterogeneous, autonomous information sources.
Topics :
The major topics of interest to this workshop include but are not limited to :
Adaptive, Complex and Evolving Systems
Associative Memory with Forgetting
Control of Attention
Data Intelligence
Discovery of Complex Vague Concepts for Initiating Actions and Plans
Fuzzy Sets
Heterogeneous, Autonomous Information Processing
Human Cognition Based Computing
Intelligent Computation Forwarding
Intelligent Computing with Uncertainty
Interactive Granular Computing
Knowledge Representation
Knowledge Space Evolution
Learning of Interaction Rules
Machine Learning for Cognitive Computing
Multi Granularity Clustering
Multiple Granularity Joint Computing
Multiple Granularity Machine Learning
Multiple Granularity Space
Perception-based Computing
Probabilistic/Stochastic Learning
Risk Management in Interactive Granular Computing
Rough Sets
Theoretical Foundations of Cognitive Computing
Variable Granularity Computing