The aims and objectives of data mining is to discover actionable knowledge of maininterest to real user needs, which is one of Grand Challenges in KDD. Most extant data miningis a data-driven trial-an-error process. Patterns discovered via predefined models in the aboveprocess are often of...

This paper is concerned with the state estimation problem for a class of Markovian neural networks with discrete and distributed time-delays. The neural networks have a finite number of modes, and the modes may jump from one to another according to a Markov chain. The main purpose is to estimate...

This paper studies the problem of an H∞-norm and variance-constrained state estimator design for uncertain linear discrete-time systems. The system under consideration is subjected totime-invariant norm-bounded parameter uncertainties in both the state and measurement matrices. The problem...

This Letter is concerned with the robust state estimation problem for uncertain time-delay Markovian jumping genetic regulatory networks (GRNs) with SUM logic, where the uncertainties enter into both the network parameters and the mode transition rate. The nonlinear functions describing the...

Online games and social networks are cross-pollinating rapidly in today's Internet: Online social network sites are deploying more and more games in their systems, while online game providers are leveraging social networks to power their games. An intriguing development as it is, the operational...