The document discusses data mining and its processes. It defines data mining as discovering patterns and trends in large data through statistical and mathematical techniques. The reasons for data mining include explosive data growth and increased computing power. Humans must be involved in all phases of data mining including problem identification, data preparation, model building, and evaluation. Common data mining tasks are description, estimation, prediction, classification, clustering, and association. These tasks can provide useful insights from data in business and research.

1. ผู้ช่วยศาสตราจารย์จิรัฎฐา ภูบุญอบ ( jiratta . [email_address] . ac . th, 08-9275-9797 ) บทนำ ( Introduction) 1

5. 4. CROSS - INDUSTRY STANDARD PROCESS : CRISP–DM      