In The increasing craze of internet has geared a number of modern firms for using web technology in their day to day lives. A remarkable ability to analyze web log data is provided to them by the web mining technology, that are putatively full of information, but frequently lacking with meaningful information. This signifies the need to the development of an inference mechanism which is advanced and that draws out richer implication from mining's output. This paper presents a web mining algorithm that aims at amending the interpretations of the draft's output of association rule mining. This algorithm is being tremendously used in web mining. The results obtained prove robustness of the algorithm proposed in this paper.

Climate observing has critical influence on mankind. Gathering of the various data of fleeting elements of the climate variations is extremely noteworthy. The essential point of this paper is to build up an installed framework to outline a climate observing framework which empowers the checking of climate parameters. This type of frame work includes various sensors involving temperature, Humidity, wind speed, wind bearing information can be signed into cloud so that any one (validated individual) from wherever can watch the particular information. If there should be an occurrence of any catastrophes like flame, substantial downpour, overwhelming wind, temperature or moistness might be wild, in these cases the moment data can be passed on all through the world utilizing cloud to the verified people, regardless of the fact that his equipment is wrecked in crisis.