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Relevant change detection : a framework for the precise ..:

, In: Proceedings of the 23rd International Conference on World Wide Web,

Borgolte, Kevin ; Kruegel, Christopher ; Vigna, Giovanni - p. 595-598 , 2014

Link: https://dl.acm.org/doi/10.1145/2567948.2578039

RT 
T1 <cTitle>Proceedings of the 23rd International Conference on World Wide Web</cTitle>: T1 <Title>Relevant change detection				: a framework for the precise extraction of modified and novel web-based content as a filtering technique for analysis engines</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-2578039&Exemplar=1&LAN=DE
				
A1 Borgolte, Kevin
A1 Kruegel, Christopher
A1 Vigna, Giovanni
PB ACM
YR 2014
K1 analysis pipeline optimization
K1 change detection
K1 change extraction
K1 modified content extraction
K1 near-duplicate detection
K1 Information systems
K1 Information retrieval
K1 Retrieval tasks and goals
K1 Retrieval models and ranking
K1 Information extraction
K1 Software and its engineering
K1 Software creation and management
K1 Software development techniques
K1 Reusability
K1 Information systems applications
K1 Data mining
K1 Clustering
K1 Clustering and classification
K1 Document representation
K1 Software notations and tools
K1 Software libraries and repositories
K1 Computing methodologies
K1 Artificial intelligence
K1 Knowledge representation and reasoning
K1 Probabilistic reasoning
K1 Vagueness and fuzzy logic
K1 Document filtering
SP 595
OP 598
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2567948.2578039
DO https://dl.acm.org/doi/10.1145/2567948.2578039
SF ELIB - SuUB Bremen

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