Titlebook: Knowledge Discovery in Inductive Databases; 4th International Wo Francesco Bonchi,Jean-Fran?ois Boulicaut Conference proceedings 2006 Sprin

WAIL

0302-9743 on with the 16th European Conference on Machine Learning and the 9th European Conference on Principles and Practice of Knowledge Discovery in Databases. Ever since the start of the ?eld of data mining, it has been realized that the integration of the database technology into knowledge discovery proc

逃避現(xiàn)實(shí)

biosphere

MAIZE

novelty

Transaction Databases, Frequent Itemsets, and Their Condensed Representationsmbinatorial and computational complexity, and describe their relationship to other important concepts in combinatorial data analysis, such as Vapnik-Chervonenkis dimension and hypergraph transversals.

吹牛大王

Shaping SQL-Based Frequent Pattern Mining Algorithmsthat our method performs better in many cases, but still has severe limitations compared to the traditional stand-alone pattern-growth method implementations. We identify the bottlenecks of our SQL-based pattern-growth methods and investigate the applicability of tightly coupled algorithms in practice.