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ICDM
2005
IEEE
166views Data Mining» more  ICDM 2005»
14 years 1 months ago
Sequential Pattern Mining in Multiple Streams
In this paper, we deal with mining sequential patterns in multiple data streams. Building on a state-of-the-art sequential pattern mining algorithm PrefixSpan for mining transact...
Gong Chen, Xindong Wu, Xingquan Zhu
HPCN
1999
Springer
14 years 6 hour ago
The Digital Puglia Project: An Active Digital Library of Remote Sensing Data
The growing need of software infrastructure able to create, maintain and ease the evolution of scientific data, promotes the development of digital libraries in order to provide th...
Giovanni Aloisio, Massimo Cafaro, Roy Williams
ISMIS
1999
Springer
14 years 43 min ago
A Statistical Approach to Rule Selection in Semantic Query Optimisation
Semantic Query Optimisation makes use of the semantic knowledge of a database (rules) to perform query transformation. Rules are normally learned from former queries fired by the u...
Barry G. T. Lowden, Jerome Robinson
CIKM
2008
Springer
13 years 9 months ago
Identification of class specific discourse patterns
In this paper we address the problem of extracting important (and unimportant) discourse patterns from call center conversations. Call centers provide dialog based calling-in supp...
Anup Chalamalla, Sumit Negi, L. Venkata Subramania...
CORR
2010
Springer
173views Education» more  CORR 2010»
13 years 5 months ago
Mining Multi-Level Frequent Itemsets under Constraints
Mining association rules is a task of data mining, which extracts knowledge in the form of significant implication relation of useful items (objects) from a database. Mining multi...
Mohamed Salah Gouider, Amine Farhat