Machine Learning and Natural Language Processing Lab

Diskriminatives... |--| Logische Markov... |--| SeqLog und Theo... |--| Logical Decisio... |--| Implementierung... |--| Learning from G... |--| Learning Patter... |--| SCGEM - A Fast ... |--| Informationsext... |--| Tranformation-B... |--| EM and Gradient... |--| KDD Cup 2002 - ... |--| Analysis of Res... |--| Objektorientier... |--|

Student's Project

Objektorientiertes Design einer induktiven Datenbank und eine Anwendung des Levelwise Version Space Algorithmus auf die Sekundärstruktur von Proteinen

Johannes Fischer, 2001

Inductive databases store both data and patterns for the specific data. This paper shows how to implement an inductive database in an object-oriented language. In the real implementation, Java was used. By choosing an "open" design of the system, it is applicable to a wide range of different domains. All the programmer has to do is to extend the data- and pattern-dependent classes according to her needs. Here, the secondary structure of proteins was used for demonstration. Furthermore, the system implements de Raedt's levelwise version space algorithm, a tight integration of Mitchell's version space algorithm with Agrawal et al.'s Apriori algorithm.