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20062022
most citedCase Base Mining for Adaptation Knowledge Acquisition

44 citations · 94 across the 18 of their papers we have counts for

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6 papers · 1 filter

cs.AI2020★ 4 cited

Knowledge-Based Matching of -ary Tuples

Pierre Monnin, Miguel Couceiro, Amedeo Napoli +1

An increasing number of data and knowledge sources are accessible by human and software agents in the expanding Semantic Web. Sources may differ in granularity or completeness, and…

cs.AI2017

Mining Best Closed Itemsets for Projection-antimonotonic Constraints in Polynomial Time

Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli

The exponential explosion of the set of patterns is one of the main challenges in pattern mining. This challenge is approached by introducing a constraint for pattern selection. On…

cs.AI2015★ 8 cited

Fast Generation of Best Interval Patterns for Nonmonotonic Constraints

Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli

In pattern mining, the main challenge is the exponential explosion of the set of patterns. Typically, to solve this problem, a constraint for pattern selection is introduced. One o…

cs.AI2015★ 2 cited

On mining complex sequential data by means of FCA and pattern structures

Aleksey Buzmakov, Elias Egho, Nicolas Jay +3

Nowadays data sets are available in very complex and heterogeneous ways. Mining of such data collections is essential to support many real-world applications ranging from healthcar…

cs.AI2007★ 44 cited

Case Base Mining for Adaptation Knowledge Acquisition

Mathieu D'Aquin, Fadi Badra, Sandrine Lafrogne +3

In case-based reasoning, the adaptation of a source case in order to solve the target problem is at the same time crucial and difficult to implement. The reason for this difficulty…

cs.AI2006★ 6 cited

Adaptation Knowledge Discovery from a Case Base

Mathieu D'Aquin, Fadi Badra, Sandrine Lafrogne +3

In case-based reasoning, the adaptation step depends in general on domain-dependent knowledge, which motivates studies on adaptation knowledge acquisition (AKA). CABAMAKA is an AKA…