577 search results - page 27 / 116 » Mining Text Using Keyword Distributions |
144
Voted
KDD
2007
ACM
16 years 2 months ago
2007
ACM
Characterising the differences between two databases is an often occurring problem in Data Mining. Detection of change over time is a prime example, comparing databases from two b...
131
Voted
ICDM
2009
IEEE
15 years 9 months ago
2009
IEEE
This paper offers a local distributed algorithm for expectation maximization in large peer-to-peer environments. The algorithm can be used for a variety of well-known data mining...
130
click to vote
ICDM
2007
IEEE
15 years 8 months ago
2007
IEEE
Text clustering is most commonly treated as a fully automated task without user supervision. However, we can improve clustering performance using supervision in the form of pairwi...
144
Voted
KDD
2004
ACM
15 years 7 months ago
2004
ACM
Many real-world graphs have been shown to be scale-free— vertex degrees follow power law distributions, vertices tend to cluster, and the average length of all shortest paths is...
119
Voted
CIKM
2004
Springer
15 years 7 months ago
2004
Springer
It is crucial in many information systems to organize short text segments, such as keywords in documents and queries from users, into a well-formed topic hierarchy. In this paper,...