Kalpesh H. Vandra

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This paper commences with the introduction of multi relational data mining, which is an area widely explored nowadays because of its fruitfulness across a wide spectrum of applications. Data mining algorithms look for patterns in data. While most existing data mining approaches look for patterns in a single data table(propositionalisation), multi-relational(More)
As an important task of relational database, relational classification can directly classify the data that involve multiple relations from a relational database and have more advantages than propositional data mining approaches. The information age has provided us with huge data repositories which cannot longer be analyzed manually. Most available existing(More)
As an important task of relational database, relational classification can directly classify the data that involve multiple relations from a relational database and have more advantages than propositional data mining approaches. The information age has provided us with huge data repositories which cannot longer be analyzed manually. Most available existing(More)
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