Food waste protein sequence analysis using clustering and classification techniques

The rapid development of data mining techniques takes place in 1980. A large number of newly invented technologies came into the computer field such as satellites, high storage of data medium, etc. This improvement paved the way for a destination in one place for the huge collected data. There were many methods followed earlier for the analysis of data but they failed to prove efficiency in higher gathered data and also in noisy data compared to data mining. This paper clearly describes about the various biological data mining techniques and their inter relations for prediction with the basic concepts of clustering, classification and alignment techniques. This provides the characteristics of protein sequence analysis in motif finding.