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Interactive visual exploration of association rules with rule-focusing methodology
On account of the enormous amounts of rules that can be produced by data mining
algorithms, knowledge post-processing is a difficult stage in an association rule discovery …
algorithms, knowledge post-processing is a difficult stage in an association rule discovery …
A UML 2.0 profile to design Association Rule mining models in the multidimensional conceptual modeling of data warehouses
By using data mining techniques, the data stored in a Data Warehouse (DW) can be
analyzed for the purpose of uncovering and predicting hidden patterns within the data. So …
analyzed for the purpose of uncovering and predicting hidden patterns within the data. So …
IMine: Index support for item set mining
This paper presents the IMine index, a general and compact structure which provides tight
integration of itemset extraction in a relational DBMS. Since no constraint is enforced during …
integration of itemset extraction in a relational DBMS. Since no constraint is enforced during …
Index support for frequent itemset mining in a relational DBMS
Many efforts have been devoted to couple data mining activities with relational DBMSs, but a
true integration into the relational DBMS kernel has been rarely achieved. This paper …
true integration into the relational DBMS kernel has been rarely achieved. This paper …
Constraint-based discovery and inductive queries: Application to association rule mining
Recently inductive databases (IDBs) have been proposed to afford the problem of
knowledge discovery from huge databases. Querying these databases needs for primitives …
knowledge discovery from huge databases. Querying these databases needs for primitives …
Inductive Databases and Multiple Uses of Frequent Itemsets: The cInQ Approach
Inductive databases (IDBs) have been proposed to afford the problem of knowledge
discovery from huge databases. With an IDB the user/analyst performs a set of very different …
discovery from huge databases. With an IDB the user/analyst performs a set of very different …
Un système de visualisation pour l'extraction, l'évaluation, et l'exploration interactives des règles d'association.
J Blanchard - 2005 - theses.hal.science
De nombreuses méthodes d'Extraction de Connaissances dans les Données (ECD)
produisent des résultats sous forme de règles. Les règles ont l'avantage de représenter les …
produisent des résultats sous forme de règles. Les règles ont l'avantage de représenter les …
A 2D–3D visualization support for human-centered rule mining
On account of the enormous amounts of rules that can be produced by data mining
algorithms, knowledge post-processing is a difficult stage in an association rule discovery …
algorithms, knowledge post-processing is a difficult stage in an association rule discovery …
[PDF][PDF] DMSL: The Data Mining Specification Language
P Kotásek - 2000 - Citeseer
In 1997, when I was in my fourth year at the Department of Computer Science and
Engineering at the Brno University of Technology, Jaroslav Zendulka, my future supervisor …
Engineering at the Brno University of Technology, Jaroslav Zendulka, my future supervisor …
Extraire et valider les relations complexes en sciences humaines: statistiques, motifs et règles d'association
M Cadot - 2006 - theses.hal.science
Cette thèse concerne la fouille de données en sciences humaines. Cette branche récente
de l'intelligence artificielle consiste en un ensemble de méthodes visant à extraire de la …
de l'intelligence artificielle consiste en un ensemble de méthodes visant à extraire de la …