404 search results - page 15 / 81 » Structure Discovery from Sequential Data |
FLAIRS
2010
15 years 16 hour ago
2010
Nowadays, graph-based knowledge discovery algorithms do not consider numeric attributes (they are discarded in the preprocessing step, or they are treated as alphanumeric values w...
BMCBI
2010
14 years 7 months ago
2010
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
79
Voted
CSE
2009
IEEE
15 years 4 months ago
2009
IEEE
—The hidden knowledge in social networks data can be regarded as an important resource for criminal investigations which can help finding the structure and organization of a crim...
KDD
1995
ACM
15 years 1 months ago
1995
ACM
The information age is characterizedby a rapid growth in the amountof information availablein electronicmedia. Traditional data handling methods are not adequate to cope with this...
88
Voted
SDM
2010
SIAM
14 years 11 months ago
2010
SIAM
We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...