sensor networks are different from those in traditional data mining systems. This paper proposes a novel clustering algorithm …

and predicting energy consumption levels. With the emergence of the data mining approach for predictive modeling …

. In this paper, we discuss two data-mining techniques that can be applied in bioinformatics: Neural Networks (NN) and … knowledge management technique by utilising machine-learning techniques within the data-mining process. The knowledge obtained …

Association rule mining is one of the important tasks in data mining and knowledge discovery (KDD). The traditional …

The ever increasing challenges of business environment in the recent past has taught the practitioners of data mining … organizations including banks are now using data mining techniques to analyze the performance of service/customer relationships. The … scope of data mining in business is enormous and thus the organizations including banks are applying data mining techniques …

", maintained by a company PQR for its client XYZ. Subsequently, a data mining method for finding sequential patterns in the web …