DATA MINING: A TECHNIQUE WITH WIDENING APPLICATIONS AND HAVING SOME ISSUESJournal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.4, No. 1)
Publication Date: 2015-01-30
Authors : Sonal D. Tamaskar; Anjali B. Raut;
Page : 785-790
Keywords : Data mining; Knowledge discovery in databases (KDD); Clustering; Spatial mining; Issues;
Data mining, the extraction of hidden predictive information from large databases, invented as a powerful new technology with great potential to help companies and organizations to focus on the most important information in their data warehouses. Data mining uses machine learning, statistical and visualization techniques to discovery and present knowledge in a form which is easily comprehensible to humans. Various popular data mining tools and techniques are available today for supporting large amount of applications. Data mining tools predict future trends and behaviors, allowing it’s users to make proactive, knowledge-driven decisions. They scour databases for hidden patterns, finding predictive information that experts may miss because it lies outside their expectations. With these large amount of features and applications there are some challenging issues also which are not exclusive and are not ordered in any way. This paper presents an overview of the data mining technique, Some of its vital applications and issues needs to be addressed.
Other Latest Articles
Last modified: 2015-02-09 23:03:10