Data Mining Techniques For Concisely Representing Patterns Sets
für 71.10€ kaufen ··· 9783844333916 ··· 10361116135 ··· This book focuses on mining frequent itemsets and association rules. A detailed study we carry out shows that closed itemsets and minimal generators play a key role in concisely representing patterns sets. However, an intra-class combinatorial redundancy would logically results from the inherent absence of a unique minimal generator associated to a given closed itemset. In this respect, we propose lossless reductions of the minimal generator set thanks to a new substitution- based process. Our theoretical results will then be extended to the association rule framework. We also lead a thorough exploration of the disjunctive search space, where itemsets are characterized by their respective disjunctive supports, instead of the conjunctive ones. In order to obtain a redundancy-free representation of the disjunctive search space, an interesting solution consists in selecting a unique element to represent itemsets covering the same set of data. We then introduce a new operator dedicated to this task. This operator is at the roots of new concise representations of frequent itemsets and is used for the derivation of generalized association rules. Hersteller: LAP Lambert Academic Publishing Marke: LAP Lambert Academic Publishing EAN: 9783844333916 Kat: Hardcover/Naturwissenschaften, Medizin, Informatik, Technik/Informatik, EDV Lieferzeit: Sofort lieferbar Versandkosten: Ab 20¤ Versandkostenfrei in Deutschland Icon: https://www.inforius-bilder.de/bild/?I=tKeQeVFASm19A1PI1yTOwgFp8UaIOczP%2By0X0Iavx5k%3D Bild:
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