Add to ORKGAbstract This paper presents a proposal for the extraction of association rules called G3PARM (Gram-mar Guided Genetic Programming for Association Rule Mining) which makes the knowledge extracted more expressive and flexible. This algorithm allows a context-free grammar to be adapted and applied to each specific problem or domain and eliminates the problems raised by discretization. This proposal keeps the best individuals (those that exceed a certain threshold of support and confidence) obtained with the passing of generations in an auxiliary population of fixed size n. G3PARM obtains solutions within speci-fied time limits and does not require the large amounts of memory that the exhaustive search algorithms in the field of association ru...
Abstract. Data Mining is most commonly used in attempts to induce association rules from transac-tio...
Rule induction is a data mining technique used to extract classification rules of the form IF (condi...
Abstract Association rules [4] usually found out the relationship between different data entities in...
The extraction of useful information for decision making is a challenge in many different domains. A...
Real-world data usually comprise features whose interpretation depends on some contextual informatio...
Real-world data usually comprise features whose interpretation depends on some contextual informatio...
Real-world data usually comprise features whose interpretation depends on some contextual informatio...
\u3cp\u3eReal-world data usually comprise features whose interpretation depends on some contextual i...
Abstract-- Association Rule Mining for profit patterns focuses the important issues related with bus...
We formulate a general Association rule mining model for extracting useful information from very lar...
Association rule mining problem (ARM) is a struc-tured mechanism for unearthing hidden facts in larg...
Data Mining is most commonly used in attempts to induce association rules from transac- tion data w...
Data Mining is most commonly used in attempts to induce association rules from transac- tion data w...
Data Mining is most commonly used in attempts to induce association rules from transac- tion data w...
Data Mining is most commonly used in attempts to induce association rules from transac- tion data w...
Abstract. Data Mining is most commonly used in attempts to induce association rules from transac-tio...
Rule induction is a data mining technique used to extract classification rules of the form IF (condi...
Abstract Association rules [4] usually found out the relationship between different data entities in...
The extraction of useful information for decision making is a challenge in many different domains. A...
Real-world data usually comprise features whose interpretation depends on some contextual informatio...
Real-world data usually comprise features whose interpretation depends on some contextual informatio...
Real-world data usually comprise features whose interpretation depends on some contextual informatio...
\u3cp\u3eReal-world data usually comprise features whose interpretation depends on some contextual i...
Abstract-- Association Rule Mining for profit patterns focuses the important issues related with bus...
We formulate a general Association rule mining model for extracting useful information from very lar...
Association rule mining problem (ARM) is a struc-tured mechanism for unearthing hidden facts in larg...
Data Mining is most commonly used in attempts to induce association rules from transac- tion data w...
Data Mining is most commonly used in attempts to induce association rules from transac- tion data w...
Data Mining is most commonly used in attempts to induce association rules from transac- tion data w...
Data Mining is most commonly used in attempts to induce association rules from transac- tion data w...
Abstract. Data Mining is most commonly used in attempts to induce association rules from transac-tio...
Rule induction is a data mining technique used to extract classification rules of the form IF (condi...
Abstract Association rules [4] usually found out the relationship between different data entities in...