CURE: an efficient clustering algorithm for large databases
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
On power-law relationships of the Internet topology
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Emergence: From Chaos to Order
Emergence: From Chaos to Order
Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control and Artificial Intelligence
Formalizing Commonsense: Papers by John McCarthy
Formalizing Commonsense: Papers by John McCarthy
Computer
Data Mining for Web Intelligence
Computer
Algorithms for Mining Distance-Based Outliers in Large Datasets
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Discovery of Multiple-Level Association Rules from Large Databases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
COMPSAC '00 24th International Computer Software and Applications Conference
Web Intelligence
Linked
Web Mining: Information and Pattern Discovery on the World Wide Web
ICTAI '97 Proceedings of the 9th International Conference on Tools with Artificial Intelligence
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Field review: Complex systems: Network thinking
Artificial Intelligence
Envisioning intelligent information technologies through the prism of web intelligence
Communications of the ACM - Emergency response information systems: emerging trends and technologies
Web intelligence meets brain informatics: an impending revolution in WI and brain sciences
AWIC'05 Proceedings of the Third international conference on Advances in Web Intelligence
Hi-index | 0.00 |
Networks interact with one another and are recursive. Network intelligence and networked intelligence, as the way of knowledge representation, have become very active recently. What topological measures can be used to characterize properties of networks?What properties do different structures of real-world networks share, and why? How did theses properties come about? How do these properties affect the dynamics of such networks? How to use network topology to extend other dimensions? Given a real-world network with certain properties, what are the best ways to search for particular nodes? Furthermore, some specific implementations and examples of network intelligence will be given in this paper. Such as mining typical topologies, discovering sensitive links and important communities from real complex networks, networked control, and making a virtual reality of emergence phenomenon in complex systems.