Post by account_disabled on Feb 21, 2024 22:58:50 GMT -7
Data mining: what is it Data mining , which we have dealt with on other occasions, is a process that allows us to understand the data stored in corporate databases and warehouses before brushing them, that is, in their raw state, in order to detect which ones will best fulfill their mission when it comes to providing relevant information for the organization and generating adequate knowledge to support correct decision making. Different areas and applications converge in data mining processes, all of them united in the purpose of detecting the most relevant data and extracting sensitive knowledge from corporate data warehouses . Therefore, its applications can be as different as the types and business models that may require a process of this nature, applications that in recent times have been greatly expanded in light of the expansion of Business Intelligence tools beyond the limits. of business activities. Among them , web mining stands out , a transversal application that is of interest to all types of organizations, especially those that support their activities primarily in the field of networks and the Internet. Data mining Web mining, a universally interesting extension of data mining.
There is no doubt that online activities are inexhaustible sources of data , with much greater importance than other sources of origin in terms of quantity and variety of data (and, of course, in terms of the speed with which they are processed). generate). As ICT continues to develop and open new channels, discovering new applications and betting on new web-based solutions, the need to have systems and processes that guarantee adequate management of the data contained in Chinese Student Phone Number List the data grows in the same proportion . corporate warehouse _ Proof of this are the advances in technologies such as the Internet of Things, or the proliferation of social networks suitable for carrying out business activities. But we do not need to go that far to present one of the extensions with the most universal application in the field of business, web mining, which only in the strict and traditional space of the world wide web already finds enough reasons to become a especially key and relevant issue . The data collected through a website, a blog or any portal includes IP addresses, cookies of all types, information about searches, queries and browsing preferences, software used.
A practically infinite universe of possibilities that require adequate treatment to extract, from them, the necessary knowledge to support decision-making that affects, directly or indirectly, the activities carried out in the web space (in addition to those that determine the overall course of the strategy). corporate, of course). Web mining, broadly speaking, focuses on 3 main areas of data extraction : The content , use and structure , with the immediate purpose of detecting which of all the possible contents, uses and structures are best perceived and received by the target audience. That said, we should not confuse data mining with other processes associated with what is known as Big Data Analytics (on the issue, we can find extensive information in the free guide The process and challenges of obtaining reliable data for business analytics ); Data mining fulfills, as we have mentioned, a very specific function: detecting patterns and regularities in the data contained in a data warehouse, in order to characterize it and arrange it appropriately for the correct application of data analysis tools. A process that, applied to areas such as the web (and as noted here) has universal, transversal and unappealable interest for organizations and companies in any sector that rely on the network of networks to carry out their business activities.