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BPM
2009
Springer
340views Business» more  BPM 2009»
14 years 2 months ago
Abstractions in Process Mining: A Taxonomy of Patterns
ions in Process Mining: A Taxonomy of Patterns R.P. Jagadeesh Chandra Bose1,2 and Wil M.P. van der Aalst1 1 Department of Mathematics and Computer Science, University of Technology...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
ICDM
2002
IEEE
131views Data Mining» more  ICDM 2002»
14 years 20 days ago
Using Sequential and Non-Sequential Patterns in Predictive Web Usage Mining Tasks
We describe an efficient framework for Web personalization based on sequential and non-sequential pattern discovery from usage data. Our experimental results performed on real us...
Bamshad Mobasher, Honghua Dai, Tao Luo, Miki Nakag...
ADBIS
1999
Springer
104views Database» more  ADBIS 1999»
14 years 3 hour ago
Mining Various Patterns in Sequential Data in an SQL-like Manner
Abstract. One of the most important data mining tasks is discovery of frequently occurring patterns in sequences of events. Many algorithms for finding various patterns in sequenti...
Marek Wojciechowski
MTA
2007
101views more  MTA 2007»
13 years 7 months ago
Finding maximum-length repeating patterns in music databases
Abstract This paper introduces the problem of discovering maximum-length repeating patterns in music objects. A novel algorithm is presented for the extraction of this kind of patt...
Ioannis Karydis, Alexandros Nanopoulos, Yannis Man...
CORR
2012
Springer
202views Education» more  CORR 2012»
12 years 3 months ago
Mining Flipping Correlations from Large Datasets with Taxonomies
In this paper we introduce a new type of pattern – a flipping correlation pattern. The flipping patterns are obtained from contrasting the correlations between items at diffe...
Marina Barsky, Sangkyum Kim, Tim Weninger, Jiawei ...