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PKDD
2005
Springer
94views Data Mining» more  PKDD 2005»
16 years 21 days ago
Evaluating the Correlation Between Objective Rule Interestingness Measures and Real Human Interest
In the last few years, the data mining community has proposed a number of objective rule interestingness measures to select the most interesting rules, out of a large set of discov...
Deborah R. Carvalho, Alex Alves Freitas, Nelson F....
ICALP
2004
Springer
16 years 18 days ago
Algorithms for Multi-product Pricing
In the information age, the availability of data on consumer profiles has opened new possibilities for companies to increase their revenue via data mining techniques. One approach...
Gagan Aggarwal, Tomás Feder, Rajeev Motwani...
PAKDD
2004
ACM
94views Data Mining» more  PAKDD 2004»
16 years 17 days ago
Clustering Multi-represented Objects with Noise
Abstract. Traditional clustering algorithms are based on one representation space, usually a vector space. However, in a variety of modern applications, multiple representations ex...
Karin Kailing, Hans-Peter Kriegel, Alexey Pryakhin...
ICDM
2003
IEEE
113views Data Mining» more  ICDM 2003»
16 years 15 days ago
Semantic Role Parsing: Adding Semantic Structure to Unstructured Text
There is a ever-growing need to add structure in the form of semantic markup to the huge amounts of unstructured text data now available. We present the technique of shallow seman...
Sameer Pradhan, Kadri Hacioglu, Wayne Ward, James ...
ICDM
2002
IEEE
130views Data Mining» more  ICDM 2002»
16 years 5 days ago
Unsupervised Segmentation of Categorical Time Series into Episodes
This paper describes an unsupervised algorithm for segmenting categorical time series into episodes. The VOTING-EXPERTS algorithm first collects statistics about the frequency an...
Paul R. Cohen, Brent Heeringa, Niall M. Adams