12 search results - page 1 / 3 » Mining Low Dimensionality Data Streams of Continuous Attribu... |
EPIA
2003
Springer
13 years 11 months ago
2003
Springer
This paper presents an incremental and scalable learning algorithm in order to mine numeric, low dimensionality, high–cardinality, time–changing data streams. Within the Superv...
ICDM
2007
IEEE
13 years 12 months ago
2007
IEEE
In this paper we propose the integration of Data Mining with Hidden Markov Models when applied to the problem of acoustic bird species recognition. We first show how each of them...
JIIS
2006
13 years 5 months ago
2006
In recent years, emerging applications introduced new constraints for data mining methods. These constraints are typical of a new kind of data: the data streams. In data stream pro...
DATAMINE
2006
13 years 5 months ago
2006
Efficiently detecting outliers or anomalies is an important problem in many areas of science, medicine and information technology. Applications range from data cleaning to clinica...
VLDB
2007
ACM
14 years 5 months ago
2007
ACM
Current skyline evaluation techniques follow a common paradigm that eliminates data elements from skyline consideration by finding other elements in the dataset that dominate them...