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French version |
The issues from 1 to 148 are also available on line at NUMDAM and at Revues.org for the following issues |
- Results for criterions:
- Author: MEPHU NGUIFO Engelbert
2 matches
| Title | Efficient construction of the lattice of frequent closed patterns and simultaneous extraction of generic bases of rules |
| Author | MEPHU NGUIFO Engelbert, HAMROUNI Tarek, BEN YAHIA Sadok |
| Keywords | Closed pattern, Formal concept analysis, Lattice, Minimal generator, Rule |
| Topic | None |
| Abstract | In the last few years, the amount of collected data, in various computer science applications, has grown considerably. These large volumes of data need to be analyzed in order to extract useful hidden knowledge. This work focuses on association rule extraction. This technique is one of the most popular in data mining. Nevertheless, the number of extracted association rules is often very high, and many of them are redundant. In this paper, we propose a new algorithm, called PRINCE. Its main feature is the construction of a partially ordered structure for extracting subsets of association rules, called generic bases. Without loss of information these subsets form representation of the whole association rule set. To reduce the cost of such a construction, the partially ordered structure is built thanks to the minimal generators associated to fréquent closed patterns. The closed ones are simultaneously derived with generic bases thanks to a simple bottom up traversal of the obtained structure. The experimentations we carried out in benchmark and « worst case » contexts showed the efficiency of the proposed algorithm, compared to algorithms like CLOSE, A-CLOSE and TITANIC. |
| Number | 195, Fall 2011 |
| Language | French |
| Title | A new approach base on Galois lattice for concept learning |
| Author | MEPHU NGUIFO Engelbert |
| Keywords | None |
| Topics | Algorithms - Algorithmic Theory, Cognitive Sciences, Logic, Orders and preorders, Software |
| Abstract | |
| Number | 124, Winter 1993 |
| Language | French |
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