Symbiotic Data Miner

Most experts agree (Piatetsky-Shapiro, 2000; Thearling, 2007) that data mining began in the 1960s with the advent of computers that could store and process large amounts of data. In the 1980s, data mining became more common and widespread with the distribution of relational databases and SQL. In the 1990s, business saw a boom in data mining as desktop computers and powerful server-class computers became affordable and powerful enough to process large amounts of data in data warehouses (Havenstein, 2007) as well as real-time data via online analytical processing (OLAP). Today we see an increasing use of advanced processing of data with the help of artificial intelligence technology tools such as fuzzy logic, decision trees, neural networks, and genetic algorithms (Brachman, et al., 1996; Gargano & Raggad, 1999). Moreover, current trends are moving organizations to reclassify data mining as business intelligence using such tools as Cognos (Cognos, 2007).