Discovering association rules by identifying relationships among sets of items in a transaction database is an important problem in Data Mining. Finding frequent itemsets is compu...
Web2.0 has revolutionized the way we use the Web by opening the doors of collaborative learning and direct communication and making the web an open source for learning and exchangi...
In this paper, we first analyze and classify the empty categories in a Hindi dependency treebank and then identify various discovery procedures to automatically detect the existe...
Chaitanya G. S. K., Samar Husain, Prashanth Mannem
The ability to efficiently discover information using partial knowledge (for example keywords, attributes or ranges) is important in large, decentralized, resource sharing distri...
Complexity of post-genomic data and multiplicity of mining strategies are two limits to Knowledge Discovery in Databases (KDD) in life sciences. Because they provide a semantic fr...