CS3465 Business Intelligence and Data Warehousing 1 3/1/3
... data warehouse. Students learn the reasons why data warehousing is a compelling decision support solution, and study implementation approaches using proven methodologies and technologies. ...
... data warehouse. Students learn the reasons why data warehousing is a compelling decision support solution, and study implementation approaches using proven methodologies and technologies. ...
External Memory Value Iteration
... polynomial approximations or linear combinations of basis functions to represent the value function [BKK63, TR96], or more complex approximations such as those based on neural networks [Tes95, BT96]. Recently, there have been methods based on LP and constraint sampling in order to solve the resultin ...
... polynomial approximations or linear combinations of basis functions to represent the value function [BKK63, TR96], or more complex approximations such as those based on neural networks [Tes95, BT96]. Recently, there have been methods based on LP and constraint sampling in order to solve the resultin ...
Data mining in bioinformatics using Weka
... may be needed for very large datasets.) Then the data can be pre-processed using one of Weka’s filtering tools. For example, one can delete all instances (i.e. rows) in the data for which a certain attribute (i.e. column) has a particular value. An undo facility is provided to revert to an earlier s ...
... may be needed for very large datasets.) Then the data can be pre-processed using one of Weka’s filtering tools. For example, one can delete all instances (i.e. rows) in the data for which a certain attribute (i.e. column) has a particular value. An undo facility is provided to revert to an earlier s ...
Oracle Data Sheet
... SVM can build a profile of one class and when applied, flag cases that are somehow different from that profile (that is, “abnormal” or “suspicious”). This allows for the detection of rare cases not necessarily related to each other that are nearly impossible to identify using Classification. Automat ...
... SVM can build a profile of one class and when applied, flag cases that are somehow different from that profile (that is, “abnormal” or “suspicious”). This allows for the detection of rare cases not necessarily related to each other that are nearly impossible to identify using Classification. Automat ...
