UCD Machine Learning Group - provides the 20 Newsgroup subsets.Google finance - Stocks dataset was compiled from Google Finance.Gene Ontology - provides protein-protein interaction (PPI) dataset.BioGRID - provides protein-protein interaction (PPI) dataset.It supports CPU, GPU, FPGA and ASIC miners and allows users to mine Bitcoin, Litecoin and several other cryptocurrencies. Simple and powerful, it has a wide range of customisation options.
#MACMINER CONFIGURATION FOR MAC#
Have higher classification and predictive power, as compared With multiple attributes, and show that MACs with high correlation information We demonstrate the mining efficiency of MACminer in datasets MACminer to mine MACs with high correlation information fromĭatasets. To discover multi-attribute co-clusters (MACs). The generalized formula enables us to use correlation information In this paper, we introduce a generalization of the mutual informationīetween two attributes into mutual information between two attribute
This co-clustering problem as the multi-attribute co-clustering problem. As such, there is a need to co-cluster multipleĪttributes’ values into pairs of highly correlated clusters. Two groups of diverse entities, each group of entities can be characterizedīy multiple attributes. Kelvin Sim - Institute for Infocomm Research, A*STAR, SingaporeĪbstract In many real-world applications that analyze correlations between This gives the user the flexibility to choose whichever runs faster for their setup, whether theyre CPU, GPU, FPGA or ASIC mining Bitcoin, Litecoin or any.MACs: Multi-Attribute Co-Clusters with High Correlation InformationĪccepted by the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2009), Bled, Slovenia, September 7-11, 2009.