Proceedings of the fifth international World Wide Web conference on Computer networks and ISDN systems
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Information delivery systems: an exploration of Web pull and push technologies
Communications of the AIS
ACM Transactions on Internet Technology (TOIT)
Optimal crawling strategies for web search engines
Proceedings of the 11th international conference on World Wide Web
Best-effort cache synchronization with source cooperation
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Learning DFA from Simple Examples
Machine Learning
Continuous queries over data streams
ACM SIGMOD Record
What Is the Search Space of the Regular Inference?
ICGI '94 Proceedings of the Second International Colloquium on Grammatical Inference and Applications
Estimating frequency of change
ACM Transactions on Internet Technology (TOIT)
Selective Markov models for predicting Web page accesses
ACM Transactions on Internet Technology (TOIT)
Cluster Analysis
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One problem many Web users encounter is to keep track of changes of distant Web sources Push services, informing clients about data changes, are frequently not provided by Web servers Therefore it is necessary to apply intelligent pull strategies, optimizing reload requests by observation of data sources In this article an adaptive pull strategy is presented that optimizes reload requests with respect to the ‘age' of data and lost data The method is applicable if the remote change pattern may approximately be described by a piecewise deterministic behavior which is frequently the case if data sources are updated automatically Emphasis is laid on an autonomous estimation where only a minimal number of parameters has to be provided manually.