DATAMINE
2006
14 years 14 days ago
2006
Frequent pattern mining on data streams is of interest recently. However, it is not easy for users to determine a proper frequency threshold. It is more reasonable to ask users to ...
IDA
2008
Springer
14 years 15 days ago
2008
Springer
Abstract. We address the problem of matching imperfectly documented schemas of data streams and large databases. Instancelevel schema matching algorithms identify likely correspond...
DC
2008
14 years 15 days ago
2008
We study the problem of maintaining a sketch of recent elements of a data stream. Motivated by applications involving network data, we consider streams that are asynchronous, in wh...
ECOI
2010
14 years 15 days ago
2010
Advances in technology have enabled new approaches for sensing the environment and collecting data about the world. Once collected, sensor readings can be assembled into data stre...
CORR
2008
Springer
14 years 16 days ago
2008
Springer
We consider linear precoding and decoding in the downlink of a multiuser multiple-input, multipleoutput (MIMO) system, wherein each user may receive more than one data stream. We ...
CORR
2008
Springer
14 years 16 days ago
2008
Springer
Compressed Counting (CC) was recently proposed for approximating the th frequency moments of data streams, for 0 < 2. Under the relaxed strict-Turnstile model, CC dramaticall...
CN
2008
14 years 16 days ago
2008
In the past years there has been significant research on developing compact data structures for summarizing large data streams. A family of such data structures is the so-called s...
ASC
2008
14 years 17 days ago
2008
: Discovering interesting patterns or substructures in data streams is an important challenge in data mining. Clustering algorithms are very often applied to identify single substr...
ASC
2008
14 years 17 days ago
2008
Most data mining algorithms assume static behavior of the incoming data. In the real world, the situation is different and most continuously collected data streams are generated by...
GRC
2008
IEEE
14 years 17 days ago
2008
IEEE
Monitoring cluster evolution in data streams is a major research topic in data streams mining. Previous clustering methods for evolving data streams focus on global clustering res...