A stochastic model for feature extraction in Time Series Data Mining and its Engineering applications using remote sensing technique

A marketing department of a manufacturing unit will become a vibrant unit when it start using a tracking system which takes queries from its customer and their demands. These industrial units can turn such data, into useful inputs that is proprietary in its functioning. For example the payment pattern made by different class of people belongs to different age group for there monthly data usage to an Internet Service provider (ISP), can is the preparatory data of that particular company. On the basis of the identified data usage and payment patterns the companies can re-structure there products and services, which suites the needs of more users belongs to different classes of age, category, gender etc. It will increase the quantum of there business. Similarly, establishments working in the fields of in insurance, banking, marketing, scientific, and other services are now able to tap direct response databases to help develop strategies for widening customer base, customer retention, and cross-selling of products and services areas. Such data needs to be generated and analysed internally. The telemarketing system and on-line marketing companies lends itself well to market response modeling. Such models have become essential for developing customer response based marketing strategy. Now the marketing managers are considering market response as a strategically important and reliable tool for modeling the business requirements. A typical market response model is a realization of economic time series analysis. We are trying to make an effective information retrieval model based on time series data mining and modeling system based on ETS, which suites many scientific data processing systems including GPS systems.