218
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KDD
2007
ACM
16 years 7 months ago
2007
ACM
Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
165
click to vote
KDD
2007
ACM
16 years 7 months ago
2007
ACM
Many important application areas of text classifiers demand high precision and it is common to compare prospective solutions to the performance of Naive Bayes. This baseline is us...
172
click to vote
KDD
2007
ACM
16 years 7 months ago
2007
ACM
The web provides an unprecedented opportunity to evaluate ideas quickly using controlled experiments, also called randomized experiments (single-factor or factorial designs), A/B ...
195
click to vote
KDD
2007
ACM
16 years 7 months ago
2007
ACM
Correlation mining has gained great success in many application domains for its ability to capture the underlying dependency between objects. However, the research of correlation ...
164
click to vote
KDD
2007
ACM
16 years 7 months ago
2007
ACM
In this paper we address the problem of detecting topics in large-scale linked document collections. Recently, topic detection has become a very active area of research due to its...
213
click to vote
KDD
2007
ACM
16 years 7 months ago
2007
ACM
To unravel the concept structure and dynamics of the bioinformatics field, we analyze a set of 7401 publications from the Web of Science and MEDLINE databases, publication years 1...
210
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KDD
2007
ACM
16 years 7 months ago
2007
ACM
In some applications such as filling in a customer information form on the web, some missing values may not be explicitly represented as such, but instead appear as potentially va...
218
click to vote
KDD
2007
ACM
16 years 7 months ago
2007
ACM
The discovery of subsets with special properties from binary data has been one of the key themes in pattern discovery. Pattern classes such as frequent itemsets stress the co-occu...
175
click to vote
KDD
2007
ACM
16 years 7 months ago
2007
ACM
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...