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KDD
2000
ACM
168views Data Mining» more  KDD 2000»
14 years 1 months ago
Scaling up dynamic time warping for datamining applications
There has been much recent interest in adapting data mining algorithms to time series databases. Most of these algorithms need to compare time series. Typically some variation of ...
Eamonn J. Keogh, Michael J. Pazzani
KDD
2000
ACM
118views Data Mining» more  KDD 2000»
14 years 1 months ago
Generating non-redundant association rules
The traditional association rule mining framework produces many redundant rules. The extent of redundancy is a lot larger than previously suspected. We present a new framework for...
Mohammed Javeed Zaki
KDD
2000
ACM
77views Data Mining» more  KDD 2000»
14 years 1 months ago
Small is beautiful: discovering the minimal set of unexpected patterns
A drawback of most traditional data mining methods is that they do not leverage prior knowledge of users. In many business settings, managers and analysts have significant intuiti...
Balaji Padmanabhan, Alexander Tuzhilin
KDD
2000
ACM
70views Data Mining» more  KDD 2000»
14 years 1 months ago
Variations on Multimedia Data Mining
Is multimedia data mining just a new combination of buzz-words or is it a new interdisciplinary field which not only incorporates methods and techniques from the relevant discipli...
Simeon J. Simoff
KDD
2000
ACM
145views Data Mining» more  KDD 2000»
14 years 1 months ago
IntelliClean: a knowledge-based intelligent data cleaner
Existing data cleaning methods work on the basis of computing the degree of similarity between nearby records in a sorted database. High recall is achieved by accepting records wi...
Mong-Li Lee, Tok Wang Ling, Wai Lup Low