ENSEMBLE CLASSIFICATION BASED MICROARRAY GENE RETRIEVAL SYSTEM
Journal Title: ICTACT Journal on Soft Computing - Year 2018, Vol 9, Issue 1
Abstract
Data mining plays an important role in the process of classifying between the normal and the cancerous samples by utilizing microarray gene data. As this classification process is related to the human lives, greater sensitivity and specificity rates are mandatory. Taking this challenge into account, this work presents a technique to classify between the normal and cancerous samples by means of efficient feature selection and classification. The process of feature selection is achieved by Information Gain Ratio (IGR) and the selected features are forwarded to the classification process, which is achieved by ensemble classification. The classifiers being employed to attain ensemble classification are k-Nearest Neighbour (k-NN), Support Vector Machine (SVM) and Extreme Learning Machine (ELM). The performance of the proposed approach is analysed with respect to three different datasets such as Leukemia, Colon and Breast cancer in terms of accuracy, sensitivity and specificity. The experimental results prove that the proposed work shows better results, when compared to the existing techniques.
Authors and Affiliations
Thomas Scaria, Christopher T
Keywords
Related Articles
- EP ID EP534844
- DOI 10.21917/ijsc.2018.0251
- Views 48
- Downloads 0
A NOVEL APPROACH FOR LONG TERM SOLAR RADIATION PREDICTION
With present stress, being laid on green energy worldwide, harnessing solar energy for commercial use has importance in sizing and long-term prediction of solar radiation. However, with continuous changing environment pa...
INDEXING AND QUERY PROCESSING TECHNIQUES IN SPATIO-TEMPORAL DATA
Indexing and query processing is an emerging research field in spatio - temporal data. Most of the real-time applications such as location based services, fleet management, traffic prediction and radio frequency identifi...
HEART DISEASE PREDICTION USING DATA MINING TECHNIQUES
Mining is a technique that is performed on large databases for extracting hidden patterns by using combinational strategy from statistical analysis, machine learning and database technology. Further, the medical data min...
A STATE OF THE ART SURVEY ON POLYMORPHIC MALWARE ANALYSIS AND DETECTION TECHNIQUES
Nowadays, systems are under serious security threats caused by malicious software, commonly known as malware. Such malwares are sophisticatedly created with advanced techniques that make them hard to analyse and detect,...
DETERMINATION OF QUICK SWITCHING DOUBLE SAMPLING SYSTEM BY ATTRIBUTES UNDER FUZZY BINOMIAL DISTRIBUTION – SAMPLE SIZE TIGHTENING
Acceptance sampling is concerned with norms of deciding about the acceptance or rejection of the lots based on the quality of the product during inspection. Dodge and Romig popularized the acceptance sampling as a major...