document: Discovering the set of fundamental rule changes The world around us changes constantly . Knowing what has changed is an important part of our lives . For businesses , recognizing changes is also crucial . It allows businesses to adapt themselves to the changing market needs . In this paper , we study changes of association rules from one time period to another . One approach is to compare the supports and\/or confidences of each rule in the two time periods and report the differences . This technique , however , is too simplistic as it tends to report a huge number of rule changes , and many of them are , in fact , simply the snowball effect of a small subset of fundamental changes . Here , we present a technique to highlight the small subset of fundamental changes . A change is fundamental if it can not be explained by some other changes . The proposed technique has been applied to a number of real-life datasets . Experiments results show that the number of rules whose changes are unexplainable is quite small ( about 20 % of the total number of changes discovered ) , and many of these unexplainable changes reflect some fundamental shifts in the application domain .
doc_bio_tags: O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O