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NAR
2008
142views more  NAR 2008»
15 years 6 months ago
CMGSDB: integrating heterogeneous Caenorhabditis elegans data sources using compositional data mining
CMGSDB (Database for Computational Modeling of Gene Silencing) is an integration of heterogeneous data sources about Caenorhabditis elegans with capabilities for compositional dat...
Amrita Pati, Ying Jin, Karsten Klage, Richard F. H...
CMG
2001
15 years 8 months ago
Effective Use of the KDD Process and Data Mining for Computer Performance Professionals
- The KDD (Knowledge Discovery in Databases) paradigm is a step by step process for finding interesting patterns in large amounts of data. Data mining is one step in the process. T...
Susan P. Imberman
ICDE
2008
IEEE
136views Database» more  ICDE 2008»
16 years 8 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...
AUSDM
2006
Springer
103views Data Mining» more  AUSDM 2006»
15 years 10 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 8 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