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AUSDM
2008
Springer
212views Data Mining» more  AUSDM 2008»
15 years 7 months ago
Clustering and Classification of Maintenance Logs using Text Data Mining
Spreadsheets applications allow data to be stored with low development overheads, but also with low data quality. Reporting on data from such sources is difficult using traditiona...
Brett Edwards, Michael Zatorsky, Richi Nayak
ICDE
2008
IEEE
136views Database» more  ICDE 2008»
16 years 6 months ago
T-Time: Threshold-Based Data Mining on Time Series
Mining time series data is an important approach for the analysis in many application areas as diverse as biology, environmental research, medicine, or stock chart analysis. As nea...
Alexey Pryakhin, Hans-Peter Kriegel, Johannes A&sz...
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AUSDM
2006
Springer
103views Data Mining» more  AUSDM 2006»
15 years 8 months ago
Data Mining For Lifetime Prediction of Metallic Components
The ability to accurately predict the lifetime of building components is crucial to optimizing building design, material selection and scheduling of required maintenance. This pap...
Esther Ge, Richi Nayak, Yue Xu, Yuefeng Li
AICCSA
2008
IEEE
842views Hardware» more  AICCSA 2008»
15 years 7 months ago
Intelligent heart disease prediction system using data mining techniques
The healthcare industry collects huge amounts of healthcare data which, unfortunately, are not "mined" to discover hidden information for effective decision making. Disc...
Sellappan Palaniappan, Rafiah Awang
DGO
2003
202views Education» more  DGO 2003»
15 years 6 months ago
Crime Data Mining: An Overview and Case Studies
The concern about national security has increased significantly since the 9/11 attacks. However, information overload hinders the effective analysis of criminal and terrorist activ...
Hsinchun Chen, Wingyan Chung, Yi Qin, Michael Chau...