Identifying Appropriate Methodologies and Strategies for Vertical Mining with Incomplete Data
Many data mining methods are dependent on recognizing frequent patterns. Frequent patterns lead to the discovery of association rules, strong rules, sequential episodes, and multi-dimensional patterns. All can play a critical role in helping corporate and scientific institutions to understand and analyze their data. Patterns should be discovered in time and space efficient manner. Discovered patterns have authentic value when they accurately describe data trends; and, do not exclusively reflect noise or chance encounters. Vertical data mining algorithms key advantage is that they can outperform their horizontal counterparts in terms of both time and space efficiency.