Ant-based load balancing in telecommunications networks
Adaptive Behavior
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Swarm intelligence
Mining web logs to improve website organization
Proceedings of the 10th international conference on World Wide Web
Data Mining: Concepts, Models, Methods and Algorithms
Data Mining: Concepts, Models, Methods and Algorithms
Computational & Mathematical Organization Theory
Ant Colony Optimization
Topical web crawlers: Evaluating adaptive algorithms
ACM Transactions on Internet Technology (TOIT)
Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (Data-Centric Systems and Applications)
IEEE Transactions on Knowledge and Data Engineering
Rule Mining Algorithm with a New Ant Colony Optimization Algorithm
ICCIMA '07 Proceedings of the International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007) - Volume 02
Statistical Language Models for Information Retrieval
Statistical Language Models for Information Retrieval
AntNet: distributed stigmergetic control for communications networks
Journal of Artificial Intelligence Research
IEEE Computational Intelligence Magazine
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
Data mining with an ant colony optimization algorithm
IEEE Transactions on Evolutionary Computation
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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The World Wide Web has evolved in less than two decades as the major source of data and information for all domains. Web has become today not only an accessible and searchable information source but also one of the most important communication channels, almost a virtual society. Web mining is a challenging activity that aims to discover new, relevant and reliable information and knowledge by investigating the web structure, its content and its usage. Though the web mining process is similar to data mining, the techniques, algorithms and methodologies used to mine the web encompass those specific to data mining, mainly because the web has a great amount of unstructured data and the changes are frequent and rapid. This paper is structured into two sections. The first one briefly discusses the different web mining tasks and the second one is focusing on advanced artificial intelligence (AI) methods for information retrieval and web search, link analysis, opinion mining and web usage mining.