13 search results - page 1 / 3 » Stream prediction using a generative model based on frequent... |
KDD
2008
ACM
14 years 5 months ago
2008
ACM
This paper presents a new algorithm for sequence prediction over long categorical event streams. The input to the algorithm is a set of target event types whose occurrences we wis...
KDD
2007
ACM
14 years 5 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...
ICDM
2009
IEEE
13 years 2 months ago
2009
IEEE
Discovering episodes, frequent sets of events from a sequence has been an active field in pattern mining. Traditionally, a level-wise approach is used to discover all frequent epis...
SP
2008
IEEE
13 years 4 months ago
2008
IEEE
Abstract. Understanding the functioning of a neural system in terms of its underlying circuitry is an important problem in neuroscience. Recent developments in electrophysiology an...
FLAIRS
2007
13 years 6 months ago
2007
The desire to predict power generation at a given point in time is essential to power scheduling, energy trading, and availability modeling. The research conducted within is conce...