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» Structure Discovery from Sequential Data
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WWW
2006
ACM
15 years 10 months ago
Compressing and searching XML data via two zips
XML is fast becoming the standard format to store, exchange and publish over the web, and is getting embedded in applications. Two challenges in handling XML are its size (the XML...
Paolo Ferragina, Fabrizio Luccio, Giovanni Manzini...
ACL
1992
14 years 11 months ago
SEXTANT: Exploring Unexplored Contexts for Semantic Extraction from Syntactic Analysis
For a very long time, it has been considered that the only way of automatically extracting similar groups of words from a text collection for which no semantic information exists ...
Gregory Grefenstette
IPPS
2008
IEEE
15 years 4 months ago
Parallel mining of closed quasi-cliques
Graph structure can model the relationships among a set of objects. Mining quasi-clique patterns from large dense graph data makes sense with respect to both statistic and applica...
Yuzhou Zhang, Jianyong Wang, Zhiping Zeng, Lizhu Z...
PKDD
1998
Springer
113views Data Mining» more  PKDD 1998»
15 years 2 months ago
Text Mining at the Term Level
Knowledge Discovery in Databases (KDD) focuses on the computerized exploration of large amounts of data and on the discovery of interesting patterns within them. While most work on...
Ronen Feldman, Moshe Fresko, Yakkov Kinar, Yehuda ...
SIGMOD
2004
ACM
184views Database» more  SIGMOD 2004»
15 years 10 months ago
Identifying Similarities, Periodicities and Bursts for Online Search Queries
We present several methods for mining knowledge from the query logs of the MSN search engine. Using the query logs, we build a time series for each query word or phrase (e.g., `Th...
Michail Vlachos, Christopher Meek, Zografoula Vage...