Mining for Information Gold

• Published in: The information management journal Vol. 39; no. 5; pp. 47 - 52
• Main Author: Firestone, Joseph M
• Format: Journal Article
• Language: English
• Published: Lenexa ARMA International 01.09.2005
• Subjects: Automation; Computerized records management; Data mining; Data warehouses; Document management systems; Information technology; Inventory; Knowledge discovery; Knowledge management; Opportunity; Professionals; Records management; Ski equipment; Software; Statistical analysis; Structured Query Language-SQL; United States > US
• ISSN: 1535-2897

During the 1980s and increasingly during the 1990s, data mining technology was becoming available in the form of statistical and artificial intelligence-based models and computing algorithms. There are several sectors interested in data mining: banking, medicine, insurance, retailing, and government. The process context of data mining leads to to the more comprehensive process of knowledge discovery in databases (KDD) within which data mining occurs. Using the results of KDD that rely on data mining can help with very routine decisions almost anywhere in the enterprise. Records and information management (RIM) managers who add data mining to their information technology arsenal are enhancing the KDD process by adding an additional and powerful capability to create information that through interpretation and evaluation can lead to new knowledge -- information of even greater quality and value. Data mining is still a rapidly changing field. The basic structure of the vendor marketplace is unlikely to change over the next few years.