By Guozhu Dong, James Bailey
ISBN-10: 1439854327
ISBN-13: 9781439854327
''Preface Contrasting is without doubt one of the most elementary forms of research. Contrasting established research is repeatedly hired, usually subconsciously, through every kind of individuals. humans use contrasting to higher comprehend the area round them and the tough difficulties they wish to unravel. humans use contrasting to thoroughly verify the desirability of vital events, and to assist them greater keep away from possibly harmful Read more...
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Extra resources for Contrast data mining : concepts, algorithms, and applications
Sample text
Tree Based Contrast Pattern Mining with Equivalence Classes . Summary and Conclusion . . . . . . . . . . . . . . . . . . . . 1 Introduction 23 24 25 27 28 29 In this chapter we consider the challenge of mining emerging patterns. In particular, we overview three approaches that can be used for mining a specific type of emerging pattern, known as a jumping emerging pattern. All approaches employ a tree structure to generate the patterns. The idea to employ a tree for emerging pattern mining is natural, given the popularity and success of frequent pattern trees [180] for mining frequent patterns.
Using a supportdelta threshold implies a minimum support threshold in the home dataset. Both growth rate and support delta are example interestingness measures on contrast patterns. Other interestingness measures such as relative risk ratio, odds ratio, and risk difference [247, 255] have been studied in the literature. Chapter 2 presents various measures on contrast patterns. There are two ways to generalize to the case with more than two datasets. We can either replace supp(X, Di ) by maxi=j supp(X, Di ), or replace it by supp(X, ∪i=j Di ), in the definitions for gr(X, Dj ) and suppδ (X, Dj ).
1 Introduction 23 24 25 27 28 29 In this chapter we consider the challenge of mining emerging patterns. In particular, we overview three approaches that can be used for mining a specific type of emerging pattern, known as a jumping emerging pattern. All approaches employ a tree structure to generate the patterns. The idea to employ a tree for emerging pattern mining is natural, given the popularity and success of frequent pattern trees [180] for mining frequent patterns.
Contrast data mining : concepts, algorithms, and applications by Guozhu Dong, James Bailey
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