The Hows, Whys, and Whens of Constraints in Itemset and Rule Discovery | |||||
|
1 | (13) | |||
A Relational Query Primitive for Constraint-Based Pattern Mining | |||||
|
14 | (24) | |||
To See the Wood for the Trees: Mining Frequent Tree Patterns | |||||
|
38 | (26) | |||
A Survey on Condensed Representations for Frequent Sets | |||||
|
64 | (17) | |||
Adaptive Strategies for Mining the Positive Border of Interesting Patterns: Application to Inclusion Dependencies in Databases | |||||
|
81 | (21) | |||
Computation of Mining Queries: An Algebraic Approach | |||||
|
102 | (25) | |||
Inductive Queries on Polynomial Equations | |||||
|
127 | (28) | |||
Mining Constrained Graphs: The Case of Workflow Systems | |||||
|
155 | (17) | |||
CrossMine: Efficient Classification Across Multiple Database Relations | |||||
|
172 | (24) | |||
Remarks on the Industrial Application of Inductive Database Technologies | |||||
|
196 | (20) | |||
How to Quickly Find a Witness | |||||
|
216 | (27) | |||
Relevancy in Constraint-Based Subgroup Discovery | |||||
|
243 | (24) | |||
A Novel Incremental Approach to Association Rules Mining in Inductive Databases | |||||
|
267 | (28) | |||
Employing Inductive Databases in Concrete Applications | |||||
|
295 | (33) | |||
Contribution to Gene Expression Data Analysis by Means of Set Pattern Mining | |||||
|
328 | (20) | |||
Boolean Formulas and Frequent Sets | |||||
|
348 | (14) | |||
Generic Pattern Mining Via Data Mining Template Library | |||||
|
362 | (18) | |||
Inductive Querying for Discovering Subgroups and Clusters | |||||
|
380 | (21) | |||
Author Index | 401 |
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