Data Mining refers to the computational methods for discovering how simple base pairs can be combined in different ways , many of which are unknown, to provide the form and function of the larger building blocks of life. This method is also used to predict the secondary structure of proteins.
Some of the methods that are patented are given below.
Patent no : 7,139,764 titled ‘Dynamic learning and knowledge representation for data mining’ with the abstract : An integrated human and computer interactive data mining method receives an input database. A learning, modeling, and analysis method uses the database to create an initial knowledge model. A query of the initial knowledge model is performed using a query request. The initial knowledge model is processed to create a knowledge presentation output for visualization. It further comprises a feedback and update request step that updates the initial knowledge model.A multiple level integrated human and computer interactive data mining method facilitates overview interactive data mining and dynamic learning and knowledge representation by using the initial knowledge model and the database to create and update a presentable knowledge model. It facilitates zoom and filter interactive data mining and dynamic learning and knowledge representation by using the presentable knowledge model and the database to create and update the presentable knowledge model. It further facilitates details-on-demand interactive data mining and dynamic learning and knowledge representation by using the presentable knowledge model and the database to create and update the presentable knowledge model.The integrated human and computer interactive data mining method allows rule viewing by a parallel coordinate visualization technique that maps a multiple dimensional space onto two display dimensions with data items presented as polygonal lines.
Patent no: 7,099,880 titled ‘System and method of using data mining prediction methodology’ with the abstract: A system and associated method for data mining prediction is presented according to which the user selects a database table by means of a graphical user interface. Some records in the table are complete, while other records are incomplete. A subset of records of the database table is determined wherein each record of the subset contains a data value in the column selected for prediction. This subset of records is used to generate a model by means of a data mining algorithm, such as linear regression, radial basis function, decision tree or neural network methods. The resulting model is then utilized to predict the empty data fields in the column. After completing the prediction, the predicted values are entered into the column for display to the user.
Patent no: 7,099,880 titled ‘System and method of using data mining prediction methodology’ with the abstract: A system and associated method for data mining prediction is presented according to which the user selects a database table by means of a graphical user interface. Some records in the table are complete, while other records are incomplete. A subset of records of the database table is determined wherein each record of the subset contains a data value in the column selected for prediction. This subset of records is used to generate a model by means of a data mining algorithm, such as linear regression, radial basis function, decision tree or neural network methods. The resulting model is then utilized to predict the empty data fields in the column. After completing the prediction, the predicted values are entered into the column for display to the user.