APPLICATION OF DECISION TREE FOR DEVELOPING ACCURATE PREDICTION MODELS

Book excerpt: Today’s world is bounded by data, from morning to night each and all work is associated to data. The usage of computer and its technology is rapidly growing in many different fields like Education, banking sector, bioinformatics field, business, health cares and Industry. In all ways, everywhere data is created and this information is stored in various hubs or data wares houses. There is huge amount of data and it is created by increasing usage of computer. There is rapidly growth of data generated by all systems and it can be used for deriving models by assessing useful relationship among input and output dependencies. Consequently, there is presently shifted a model since classical modelling and it investigates to develop a model and the equivalent analyses from stored data. Government organizations, scientific institutions, administration offices and businesses have all dedicated huge resources to assembly and putting away information. Now a days, Data can possibly assist organizations with improving tasks and make quicker, progressively powerful decisions. The information or data is gathered from various sources including messages, cell phones, applications, databases, servers and different methods. This information is collected, arranged, controlled and put in meaningful information. This meaningful information would assist to an organization with valuable understanding to hold the clients for expand the income and improved the business activities. The government organizations and companies are gathering the useful information to support to manage human resources.