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» Knowledge Discovery from Series of Interval Events
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JIIS
2000
119views more  JIIS 2000»
13 years 4 months ago
Knowledge Discovery from Series of Interval Events
Knowledge discovery from data sets can be extensively automated by using data mining software tools. Techniques for mining series of interval events, however, have not been conside...
Roy Villafane, Kien A. Hua, Duc A. Tran, Basab Mau...
AIMDM
1999
Springer
13 years 9 months ago
Knowledge-Based Event Detection in Complex Time Series Data
This paper describes an approach to the detection of events in complex, multi-channel, high frequency data. The example used is that of detecting the re-siting of a transcutaneous ...
Jim Hunter, Neil McIntosh
GFKL
2007
Springer
184views Data Mining» more  GFKL 2007»
13 years 8 months ago
FSMTree: An Efficient Algorithm for Mining Frequent Temporal Patterns
Research in the field of knowledge discovery from temporal data recently focused on a new type of data: interval sequences. In contrast to event sequences interval sequences contai...
Steffen Kempe, Jochen Hipp, Rudolf Kruse
SIGKDD
2008
149views more  SIGKDD 2008»
13 years 4 months ago
Knowledge discovery from sensor data (SensorKDD)
Wide-area sensor infrastructures, remote sensors, RFIDs, and wireless sensor networks yield massive volumes of disparate, dynamic, and geographically distributed data. As such sen...
Ranga Raju Vatsavai, Olufemi A. Omitaomu, Joao Gam...
KDD
2006
ACM
228views Data Mining» more  KDD 2006»
14 years 5 months ago
Algorithms for time series knowledge mining
Temporal patterns composed of symbolic intervals are commonly formulated with Allen's interval relations originating in temporal reasoning. This representation has severe dis...
Fabian Mörchen