4/29/2023 0 Comments Entryindia exchange ratesOn the other hand, if only twenty or thirty percent of the population living in area A are given the questionnaire, the mode of data collection would be called sampling. For example the population census conducted by the US Census Bureau every ten years. One of the most common examples of data collection done by the government is census. Suppose, data collection is aimed from an area A, then, if all the residents of the data are given the questionnaire, it is called a census or in other words data collection is done from all the individuals of the specified area. To illustrate the point clearly, we shall look into the following example. Having constructed the questionnaire the researcher should identify the target sample. He should have a clear idea about the information sought by the concerned party.īesides, the data collection officer should be able to construct the questionnaire in such a way so as to elicit the responses needed. The researcher conducting the data collection just has to be aware of the process. Forming the right questionnaire is the most important aspect of data collection. On the other hand, primary data collection is the process of data collection through questionnaire by directly asking respondents of their opinions. It basically involves making use of the data already present to build or substantiate a concept. Secondary data collection involves is the information available in books, journals, previous researches or studies and the Internet. ![]() ![]() In this article, we shall give a brief overview of the same.ĭata collection can be done in two ways - secondary data and primary data. Data collection can be done in two ways involving various technicalities. The process of data collection is the third step of the six step market research processes. Internet data-mining tools therefore are effective predictors of the future trends that the business might take.ĭata collection just does not help the companies to launch new products or know about the public reaction to a specific issue, it is a very useful tool for statistical inferences, once the collected data is compiled. Gathering data from anywhere in the web has become as simple as saying 1-2-3. With the help of the data mining tools, screen scraping, web harvesting and web crawling have become very easy and requisite data can be put readily into a usable style and format. Data gathering has never been so easy and one could make use of a variety of tools to gather data and that too in simpler methods. ![]() This is effective in finding out the similarities between various websites.Īlso known as web data_mining, with the aid of the tools and the techniques, one can predict the potential growth in a selective market regarding a specific product. Structure mining focuses on the nature of connection of the websites. This data helps in creating an effective and an efficient website structure. Usage mining focuses on a process where the servers report the aspects accessed by users through the server access logs. Content mining focuses more on the subject matter that is present on a website which includes the video, audio, images and text. There are different types of internet data_mining techniques which include content, usage and structure mining. With the help of internet data-mining it becomes extremely easy to spot a potential competitor, pep up the customer support service on the website and make it more customers oriented. Internet data-mining encompasses various processes of collecting and summarizing different data from various websites or webpage contents or make use of different login procedures so that they could identify various patterns. This has given rise to the employment of different internet data mining tools and strategies so that they could better their main purpose of existence on the internet platform and also increase their customer base manifold. Internet has become an indispensable medium for people to conduct different types of businesses and transactions too.
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