Sciweavers

424 search results - page 9 / 85
» Mining data streams with periodically changing distributions
Sort
View
ADC
2008
Springer
156views Database» more  ADC 2008»
14 years 3 months ago
Interactive Mining of Frequent Itemsets over Arbitrary Time Intervals in a Data Stream
Mining frequent patterns in a data stream is very challenging for the high complexity of managing patterns with bounded memory against the unbounded data. While many approaches as...
Ming-Yen Lin, Sue-Chen Hsueh, Sheng-Kun Hwang
ISORC
2006
IEEE
14 years 2 months ago
RTSTREAM: Real-Time Query Processing for Data Streams
Many real-time applications, such as traffic control systems, surveillance systems and health monitoring systems, need to operate on continuous unbounded streams of data. These ap...
Yuan Wei, Sang Hyuk Son, John A. Stankovic
PREMI
2007
Springer
14 years 2 months ago
Discovery of Process Models from Data and Domain Knowledge: A Rough-Granular Approach
The rapid expansion of the Internet has resulted not only in the ever-growing amount of data stored therein, but also in the burgeoning complexity of the concepts and phenomena per...
Andrzej Skowron
KDD
2003
ACM
194views Data Mining» more  KDD 2003»
14 years 9 months ago
Finding recent frequent itemsets adaptively over online data streams
A data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. Consequently, the knowledge embedded in a data stream is more likely to be c...
Joong Hyuk Chang, Won Suk Lee
FLAIRS
2007
13 years 11 months ago
Mining Sequences in Distributed Sensors Data for Energy Production
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...
Mehmed M. Kantardzic, John Gant