The important and successful applications of data mining are in fields like business intelligence, finance,digital libraries, in other industries and sectors. One of the applications of data mining is medicaldiagnosis which is mostly used in research area. Medical diagnosis is the field where many researchers areconcentrating. To reduce the diagnosis time and improve the diagnosis accuracy, it has become animportant issue. In medical, Liver Cancer is one of the most prevalent and deadly cancers in humanbeings. Liver cancer is difficult to be diagnosed at an early stage due to the risk factors. Therefore, newmetrologies for early Liver Cancer are needed to determine the condition of the Liver Cancer. VariousData classification techniques or algorithms are used to solve this issue. Some classification techniques oralgorithms are Decision tree, C4.5, Association rule, Bayesian networks, Support vector Machine, K-NN,Neural networks etc. Classification is one of the data mining techniques or algorithm which classifies thedata based on attributes given in the datasets. Classification techniques used the training and test data set to classify the data and to build a model or to find out the hidden knowledge from the datasets. This model is further used to classify the new objects. So, to classify the dataset or build a model datasets is taken from the Pt. B D Sharma Postgraduate Institute of Medical Sciences Rohtak, for the purpose of medical diagnosis or health-care research.
