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» Mining Large Itemsets for Association Rules
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KDD
2004
ACM
171views Data Mining» more  KDD 2004»
14 years 7 months ago
Integrating Web Conceptual Modeling and Web Usage Mining
We present a case study about the application of the inductive database approach to the analysis of Web logs. We consider rich XML Web logs ? called conceptual logs ? that are gen...
Rosa Meo, Pier Luca Lanzi, Maristella Matera, Robe...
KDD
1998
ACM
141views Data Mining» more  KDD 1998»
13 years 11 months ago
Rule Discovery from Time Series
We consider the problem of nding rules relating patterns in a time series to other patterns in that series, or patterns in one series to patterns in another series. A simple examp...
Gautam Das, King-Ip Lin, Heikki Mannila, Gopal Ren...
ICDE
2003
IEEE
146views Database» more  ICDE 2003»
14 years 8 months ago
Similarity Search in Sets and Categorical Data Using the Signature Tree
Data mining applications analyze large collections of set data and high dimensional categorical data. Search on these data types is not restricted to the classic problems of minin...
Nikos Mamoulis, David W. Cheung, Wang Lian
KDD
2001
ACM
226views Data Mining» more  KDD 2001»
14 years 7 months ago
Mining from open answers in questionnaire data
Surveys are an important part of marketing and customer relationship management, and open answers (i.e., answers to open questions) in particular may contain valuable information ...
Hang Li, Kenji Yamanishi
VLDB
2004
ACM
163views Database» more  VLDB 2004»
14 years 22 days ago
Compressing Large Boolean Matrices using Reordering Techniques
Large boolean matrices are a basic representational unit in a variety of applications, with some notable examples being interactive visualization systems, mining large graph struc...
David S. Johnson, Shankar Krishnan, Jatin Chhugani...