Analyzing Stock Market on Small Devices through Web Services

This paper basically deals with theavailability of client programs on mobile devicesthat can invoke the remote execution of datamining task. By implementing mobile WebServices, remote users are allowed to execute datamining tasks from a mobile device and receive theresults of a data analysis task on devices. In datamining task presented in this paper, the stock datafrom different companies are categorized based onlow growth, normal growth and high growth usingK-Means algorithm. In client program, mobileusers can periodically visualize the result clustersgenerated from the mining server either in textualor visual form and can periodically check apreferred company whether the company is in low,normal or high group and then the detailinformation of the company can be seen ascommunications. The objective in this paper is toidentify the stock market from the viewpoint ofinvestors from their personal devices withbenefited services i.e. speed increases and savesmemory. So the investors can efficiently investtheir shares in the appropriate companies basedon low growth, normal growth and high growth