Zobrazeno 1 - 10
of 288
pro vyhledávání: '"K. Duraiswamy"'
Publikováno v:
Journal of Algorithms & Computational Technology, Vol 4 (2010)
Databases and data warehouses have become a vital part of many organizations. So useful information and helpful knowledge have to be mined from transactions. In real life, media information has time attributes either implicitly or explicitly called a
Externí odkaz:
https://doaj.org/article/3ce5e012f6b24f5c860eacccbbca2e7e
Autor:
G. Padmapriya, K. Duraiswamy
Publikováno v:
International Journal of Business Intelligence and Data Mining. 16:459
Autor:
K. Duraiswamy, N. S. Nithya
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 29:1453-1464
Healthcare data need an accurate diagnosis of diseases with the low computation time. Fuzzy association rule mining converts quantitative attributes to fuzzy attributes which maintain the integrity of information. Fuzzy association rule mining is mos
Autor:
M. Tamilarasi, K. Duraiswamy
Publikováno v:
Sadhana. 40:1185-1203
Retinal microaneurysm is one of the earliest signs in diabetic retinopathy diagnosis. This paper has developed an approach to automate the detection of microaneurysms using wavelet-based Gaussian mixture model and microstructure texture feature extra
Autor:
K. Duraiswamy, R. Sadasivam
Publikováno v:
Journal of Medical Imaging and Health Informatics. 5:17-26
Publikováno v:
International Journal of Computer Applications. 37:30-35
pattern mining has become one of the most popular data mining approaches for the analysis of purchasing patterns. There are techniques such as Apriori and FP-Growth, which were typically restricted to a single concept level. We extend our research to
Publikováno v:
Research Journal of Applied Sciences, Engineering and Technology. 8:1456-1460
This study presents an efficient approach for automatic face recognition based on Spectral Graph Wavelet Theory (SGWT). SGWT is analogous to wavelet transform and the transform functions are defined on the vertices of a weighted graph. The given face
Autor:
G. Palanivel, K. Duraiswamy
Publikováno v:
American Journal of Applied Sciences. 11:1405-1411
We propose an anomaly-based network intrusion detection system, which analyzes traffic features to det ect anomalies. The proposed system can be used both in online as well as off-line mode for detecting devia tions from the expected behavior. Althou
Autor:
K. Duraiswamy, N S Nithya
Publikováno v:
Sadhana. 39:39-52
The health care environment still needs knowledge based discovery for handling wealth of data. Extraction of the potential causes of the diseases is the most important factor for medical data mining. Fuzzy association rule mining is well-performed be
Autor:
K. Duraiswamy, G. PadmaPriya
Publikováno v:
Journal of Computer Science. 10:1-9
Now days many research is going on for text summarization. Because of increasing information in the internet, these kind of research are gaining more a nd more attention among the researchers. Extractive text summarization generates a brief summary b