History Bits based novel algorithm for classification of structured data

Data mining is very effective technique for extracting useful information from large amount of structured dataset. Number of algorithms are available that can mine the useful and relevant information. Use of particular data mining algorithm has great impact on the results obtained. An innovative classification algorithm based on History Bits is developed for extracting useful and relevant information from large structured dataset. For implementation and testing of the History Bits based algorithm we have designed a structured criminal dataset. This algorithm analyses criminal information in lesser time and reduces the constraints of manual investigation process.