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» A New Method for Similarity Indexing of Market Basket Data
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SIGMOD
1999
ACM
112views Database» more  SIGMOD 1999»
9 years 5 months ago
A New Method for Similarity Indexing of Market Basket Data
In recent years, many data mining methods have been proposed for ļ¬nding useful and structured information from market basket data. The association rule model was recently propos...
Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu
VLDB
2002
ACM
101views Database» more  VLDB 2002»
10 years 1 months ago
Efficient similarity search for market basket data
Several organizations have developed very large market basket databases for the maintenance of customer transactions. New applications, e.g., Web recommendation systems, present th...
Alexandros Nanopoulos, Yannis Manolopoulos
ICDE
2006
IEEE
188views Database» more  ICDE 2006»
10 years 2 months ago
Efficiently Evaluating Order Preserving Similarity Queries over Historical Market-Basket Data
We introduce a new domain-independent framework for formulating and efficiently evaluating similarity queries over historical data, where given a history as a sequence of timestam...
Reza Sherkat, Davood Rafiei
BTW
2015
Springer
23views Database» more  BTW 2015»
3 years 9 months ago
Musical similarity analysis based on chroma features and text retrieval methods
: At the present day the world wide web is full of music. Highly effective algorithms for music compression and high data storage has made it easy to access all kind of music easil...
David Englmeier, Nina Hubig, Sebastian Goebl, Chri...
KDD
2005
ACM
166views Data Mining» more  KDD 2005»
10 years 1 months ago
A general model for clustering binary data
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
Tao Li
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