DATA MINING FIELD

Brand Owner (click to sort) Address Description
NEPTUNE Neptune Digital Assets Corp. 666 Burrard Street Vancouver, BC V6C2Z7 Canada data mining in the field of cryptocurrency data; scientific and technological research in the fields of cryptocurrency, decentralized finance, and blockchain technology; cryptocurrency mining services, namely, providing temporary use of shared online non-downloadable computing infrastructure software for use in running transaction validation nodes for cryptocurrency networks; computer services, namely, pooled cryptocurrency mining services, namely, providing temporary use of online, non-downloadable computing software for shared computational processing and verification in the field of cryptocurrency mining; computer services, namely, cloud mining services in the nature of providing temporary use of online, non-downloadable computing software for providing shared computational processing and verification for cryptocurrency mining; computer data center services, namely, rental of data center facilities consisting of shared computing hardware and software for the purpose of mining cryptocurrency;
PUT TRUTH TO WORK Coin Metrics Inc. 125 High Street, Suite 220 Boston MA 02110 Data mining in the field of cryptocurrency data; Providing on-line non-downloadable software for the development of uniquely derived data sets in the field of cryptocurrency data; Providing technology that enables users to view, edit, and manipulate data in the field of cryptocurrency;
 

Where the owner name is not linked, that owner no longer owns the brand

    
Technical Examples
  1. A system, method, and computer program product for in-database clustering provides the capability to perform cluster analysis and provides improved performance in model building and data mining, good integration with the various databases throughout the enterprise, and flexible specification and adjustment of the models being built, but which provides data mining functionality that is accessible to users having limited data mining expertise and which provides reductions in development times and costs for data mining projects. A database management system for in-database clustering, comprises a first data table and a second data table, each data table including a plurality of rows of data, means for building a clustering model using the first data table, and means for applying the clustering model using the second data table to generate apply output data.