Data Mining and Knowledge Engineering

V. Sivaraj ¹, S. Sukumaran ¹

Affiliations
1 Department of Computer Science, Erode Arts and Science College, Erode-639009, IN

Abstract

Cancer is caused by uncontrolled and abnormal cells and it may spread through the blood stream or lymphatic system to further parts of the body. To explore the possibilities for classification of cancer, the researchers are started to perform using gene expression data. But still there are a lot of issues which is to be solved. So, this work introduced the fast PSO with ELM technique for cancer classification problems. This work implemented fast PSO method for multicategory classification of cancer cells. The PSO will provide the optimized output as the input to ELM. Evaluation is carried out for the proposed Fast PSO-ELM and the proposed approach achieves better classification accuracy.

Keywords

Cancer Classification, Gene Expression, ELM, Fast PSO-ELM.

Full Text

     

K. Prabha ¹, K. Vivekanandan ¹, S. Sukumaran ¹

Affiliations
1 Erode Arts and Science College, Erode-638009, Tamil Nadu, IN

Abstract

Clustering is an useful technique in the field of textual data mining. Cluster analysis divides objects into meaningful groups based on similarity between objects. The existing clustering approaches face the issues like practical applicability, very less accuracy, more classification time etc. In recent times, inclusion of fuzzy logic in clustering results in better clustering results. In order to further improve the performance of clustering, the  Fuzzy C-Means (FCMA) Algorithm is used. The keywords are extracted from the documents using LSA based document extraction. The Fuzzy partition matrix is created for the clustering process and the performance of the document clustering is greater based on the keyword when compared to the Existing K-Means Clustering and EM Algorithm. The proposed technique will be highly useful in the text mining process to increase the accuracy and performance of the text extraction process.

Keywords

Document Clustering, Fuzzy Cluster, Fuzzy C-Means, K-Means Clustering.

Full Text