International Journal of Emerging Trends & Technology in Computer Science
A Motivation for Recent Innovation & Research
ISSN 2278-6856
www.ijettcs.org

Call for Paper, Published Articles, Indexing Infromation A stochastic model for feature extraction in Time Series Data Mining and its Engineering applications using remote sensing technique, Authors : R.K Singh, Sunil Bhaskarn, International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), www.ijettcs.org
Volume & Issue no: Volume 4, Issue 2, March - April 2015

Title:
A stochastic model for feature extraction in Time Series Data Mining and its Engineering applications using remote sensing technique
Author Name:
R.K Singh, Sunil Bhaskarn
Abstract:
Abstract 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. Keywords : Time Series Data ming - TSDM, Internet service provider (ISP), Segmentation, Discrete time series, Neurocomputing. Information Rerival (IR), probabilities reasoning.
Cite this article:
R.K Singh, Sunil Bhaskarn , " A stochastic model for feature extraction in Time Series Data Mining and its Engineering applications using remote sensing technique " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), Volume 4, Issue 2, March - April 2015 , pp. 055-059 , ISSN 2278-6856.
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