258 search results - page 28 / 52 » Discovering Informative Patterns and Data Cleaning |
110
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KDD
1997
ACM
15 years 3 months ago
1997
ACM
Exploratory data analysis is a process of sifting through data in search of interesting information or patterns. Analysts’ current tools for exploring data include database mana...
IDA
2005
Springer
15 years 5 months ago
2005
Springer
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize the...
DISCEX
2003
IEEE
15 years 5 months ago
2003
IEEE
We introduce a technique for detecting anomalous patterns in a categorical feature (one that takes values from a finite alphabet). It differs from most anomaly detection methods u...
DATAMINE
2010
14 years 12 months ago
2010
Assessing the quality of discovered results is an important open problem in data mining. Such assessment is particularly vital when mining itemsets, since commonly many of the disc...
119
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KDD
2009
ACM
16 years 9 days ago
2009
ACM
The discovery of biclusters, which denote groups of items that show coherent values across a subset of all the transactions in a data set, is an important type of analysis perform...