Comparison of K-means and Backpropagation Data Mining Algorithms

Data mining has got more and more mature as a field of basic research in computer science and got more and more widely applied in several other fields. Data mining has been recognized by many researchers as a key research topic in data handling. Data mining is the important approach to realize knowledge discovery. It is the process of extracting patterns or predicting previously unknown and useful trends from large quantities of data by using the knowledge of multidisciplinary fields such as statistics, mode identify, artificial intelligence, machine learning, database, management information system and so on. There are many traditional data mining clustering and classification techniques K-means, fuzzy C- means, Decision tree etc. The artificial neural network (ANN) is one of the techniques of data mining different from traditional technique. It is the nonlinear auto-fit dynamic system made of many cells with simulating the construction of biology neural systems.