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SIGMOD
2001
ACM
184views Database» more  SIGMOD 2001»
15 years 9 months ago
Locally Adaptive Dimensionality Reduction for Indexing Large Time Series Databases
Similarity search in large time series databases has attracted much research interest recently. It is a difficult problem because of the typically high dimensionality of the data....
Eamonn J. Keogh, Kaushik Chakrabarti, Sharad Mehro...
ESWS
2008
Springer
14 years 11 months ago
Combining Context Navigation with Semantic Autocompletion to Solve Problems in Concept Selection
Many tasks on the semantic web require the user to choose concepts from a limited vocabulary e.g. for describing an indexed resource or for use in semantic search. Semantic autocom...
Reetta Sinkkilä, Eetu Mäkelä, Eero ...
CPM
2000
Springer
177views Combinatorics» more  CPM 2000»
15 years 2 months ago
Identifying and Filtering Near-Duplicate Documents
Abstract. The mathematical concept of document resemblance captures well the informal notion of syntactic similarity. The resemblance can be estimated using a fixed size “sketch...
Andrei Z. Broder
WWW
2005
ACM
15 years 10 months ago
Algorithmic detection of semantic similarity
Automatic extraction of semantic information from text and links in Web pages is key to improving the quality of search results. However, the assessment of automatic semantic meas...
Ana Gabriela Maguitman, Filippo Menczer, Heather R...
SIGIR
2006
ACM
15 years 3 months ago
Unifying user-based and item-based collaborative filtering approaches by similarity fusion
Memory-based methods for collaborative filtering predict new ratings by averaging (weighted) ratings between, respectively, pairs of similar users or items. In practice, a large ...
Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders