Journal international d'intelligence d'essaim et de calcul évolutif

Abstrait

Data Mining Issues and Artificial Intelligence for Modern world Problem

Sakura Yua

The data mining is refers to extracting or “mining” knowledgefrom huge amount of knowledge. The team is really a misnomer.That the mining of gold from rocks or sand is verified to as goldmining instead of rock or sand mining. Thus the info mininghas been highly appropriately named “knowledge mining fromdata,” which is unfortunately somewhat long. It’s a term mightnot reflect the stress on mining from high amount of knowledge.The info mining process breaks down into five steps. First,organizations collect data and cargo it into their datawarehouses. Next, they store and manage the info, either on in-house servers or the cloud. Business analysts, management teamsand knowledge technology professionals access the info anddetermine how they need to arrange it. Then, applicationsoftware sorts the info supported the user's results, andeventually, the end-user presents the info in an easy-to-shareformat, like a graph or table.