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DMIN
2006
157views Data Mining» more  DMIN 2006»
11 years 1 months ago
Data Mining of Air Traffic Control Operational Errors
In this paper we present the results of applying data mining techniques to identify patterns and anomalies in air traffic control operational errors (OEs). Reducing the OE rate is ...
Zohreh Nazeri
DMIN
2006
125views Data Mining» more  DMIN 2006»
11 years 1 months ago
Privacy-Preserving Bayesian Network Learning From Heterogeneous Distributed Data
In this paper, we propose a post randomization technique to learn a Bayesian network (BN) from distributed heterogeneous data, in a privacy sensitive fashion. In this case, two or ...
Jianjie Ma, Krishnamoorthy Sivakumar
DMIN
2006
111views Data Mining» more  DMIN 2006»
11 years 1 months ago
Research on Classification of Printing Fault Using Support Vector Machines
: For the characteristics of malfunction diagnose system a model to classify fault printing based on support vector machines is discussed. The printing malfunctions have many class...
Ye-Li Li, Ya-Li Qi
DMIN
2006
115views Data Mining» more  DMIN 2006»
11 years 1 months ago
Data Mining Techniques to Study Therapy Success with Autistic Children
Autism spectrum disorder has become one of the most prevalent developmental disorders, characterized by a wide variety of symptoms. Many children need extensive therapy for years t...
Gondy Leroy, Annika Irmscher, Marjorie H. Charlop-...
DMIN
2006
123views Data Mining» more  DMIN 2006»
11 years 1 months ago
Application of data warehouse technology in power analysis
: Data warehouse technology transforms the operational data store to general and compositive information. It also provides effective way for analysis and statistic to the mass data...
Xiaoguang Hong, Juan Chu
DMIN
2006
124views Data Mining» more  DMIN 2006»
11 years 1 months ago
Optimal Multi-class Classification with Principal Components
An approach to build a multi-class classifier is proposed in this paper. This approach consists of a derivation to show under which loss function an optimal classifier can be obtai...
Albert Hoang
DMIN
2006
122views Data Mining» more  DMIN 2006»
11 years 1 months ago
Clustering of Bi-Dimensional and Heterogeneous Time Series: Application to Social Sciences Data
We present an application of bi-dimensional and heterogeneous time series clustering in order to resolve a Social Sciences issue. The dataset is the result of a survey involving mo...
Rémi Gaudin, Sylvaine Barbier, Nicolas Nico...
DMIN
2006
138views Data Mining» more  DMIN 2006»
11 years 1 months ago
Financial Time Series Segmentation based on Specialized Binary Tree Representation
Segmentation is one of the fundamental components in time series data mining. One of the uses of the time series segmentation is trend analysis - to segment the time series into pr...
Tak-Chung Fu, Fu-Lai Chung, Chak-man Ng
DMIN
2006
107views Data Mining» more  DMIN 2006»
11 years 1 months ago
Enhancing Data Preparation Processes Using Triggers For Active Datawarehousing
Abstract: Data preparation is a significant preprocessing task to prepare data for mining. The data mining process cannot succeed without a serious effort to prepare data. Very oft...
Kanana Ezekiel, Farhi Marir
DMIN
2006
174views Data Mining» more  DMIN 2006»
11 years 1 months ago
Association Rule Mining from XML Data
- With the growing usage of XML in the World Wide Web and elsewhere as a standard for the exchange of data and to represent semistructured data, there is an imminent need for tools...
Qin Ding, Gnanasekaran Sundarraj
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