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KDD
2005
ACM
160views Data Mining» more  KDD 2005»
16 years 8 days ago
Optimizing time series discretization for knowledge discovery
Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the temporal ...
Alfred Ultsch, Fabian Mörchen
EDBT
2008
ACM
111views Database» more  EDBT 2008»
16 years 1 hour ago
On-line discovery of hot motion paths
We consider an environment of numerous moving objects, equipped with location-sensing devices and capable of communicating with a central coordinator. In this setting, we investig...
Dimitris Sacharidis, Kostas Patroumpas, Manolis Te...
DGO
2003
140views Education» more  DGO 2003»
15 years 1 months ago
Social Welfare Program Administration and Evaluation and Policy Analysis Using Knowledge Discovery and Data Mining (KDD) on Admi
New technology in knowledge discovery and data mining (KDD) make it possible to extract valuable information from operational data. Private businesses already use the technology f...
Hye-Chung (Monica) Kum, Dean Duncan, Kimberly Flai...
BMCBI
2008
99views more  BMCBI 2008»
14 years 12 months ago
NestedMICA as an ab initio protein motif discovery tool
Background: Discovering overrepresented patterns in amino acid sequences is an important step in protein functional element identification. We adapted and extended NestedMICA, an ...
Mutlu Dogruel, Thomas A. Down, Tim J. P. Hubbard
KDD
2004
ACM
168views Data Mining» more  KDD 2004»
16 years 8 days ago
Mining, indexing, and querying historical spatiotemporal data
In many applications that track and analyze spatiotemporal data, movements obey periodic patterns; the objects follow the same routes (approximately) over regular time intervals. ...
Nikos Mamoulis, Huiping Cao, George Kollios, Mario...