Josef Küng,
"Knowledge Discovery with the Associative Memory Model Neunet"
: DEXA 1999 - 10th International Conference on Database and Expert Systems Applications, Serie Lecture Notes in Computer Science (LNCS), 8-1999, ISBN: 3-540-66448-3, ISSN: 0302-9743, Josef Küng, Sylvia Hagmüller, Horst Hagmüller: Knowledge Discovery with the Associative Memory Model Neunet, DEXA 1999 - 10th International Conference on Database and Expert Systems Applications, LNCS, Springer Verlag Berlin Heidelberg New York, Florenz, 30. Aug.-3. Sept. 1999 [ISBN 3-540-66448-3], [ISSN 0302-9743] // Series ISSN: 0302-9743
Original Titel:
Knowledge Discovery with the Associative Memory Model Neunet
Sprache des Titels:
Englisch
Original Buchtitel:
DEXA 1999 - 10th International Conference on Database and Expert Systems Applications
Original Kurzfassung:
At the University of Linz a remarkable associative memory model has been developed. A neural network analogous
self learning system with the capability of parallel and serial association. But, for data mining tasks it
has one shortcoming. It can not reproduce how often
it has seen a part of a pattern in its past - it is not able to compute frequencies. In this contribution we
introduce an extension of the model with which frequencies, support and confidence are feasible.
Besides, all advantages of the model could be retained. Short examples and a comparison with a common data mining
tool complete the paper.
Sprache der Kurzfassung:
Englisch
Serie:
Lecture Notes in Computer Science (LNCS)
Erscheinungsmonat:
8
Erscheinungsjahr:
1999
Notiz zum Zitat:
Josef Küng, Sylvia Hagmüller, Horst Hagmüller: Knowledge Discovery with the Associative Memory Model Neunet, DEXA 1999 - 10th International Conference on Database and Expert Systems Applications, LNCS, Springer Verlag Berlin Heidelberg New York, Florenz, 30. Aug.-3. Sept. 1999 [ISBN 3-540-66448-3], [ISSN 0302-9743] // Series ISSN: 0302-9743
Forschungs-