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Parallelizing data mining algorithms has become a necessity as we try to mine ever increasing volumes of data. Spatial data mining algorithms like Dbscan, Optics, Slink, etc. have been parallelized to exploit a cluster infrastructure. The efficiency achieved by existing algorithms can be attributed to spatial locality preservation using spatial indexing structures like k-d-tree, quad-tree, grid files,...
Data Cleaning is a very important part of the data warehouse management process. It is not a very easy process as many different types of unclean data (bad data, incomplete data, typos, etc) can be present. Also, whether a data is clean or dirty is highly dependent on the nature and source of the raw data. Many attempts have been made to clean the data using blocking algorithms, phonetic algorithms,...
Software quality is the measure of appropriateness of the design of the software and how well it adheres to that design. There are some metrics and measurements to determine the software quality. Software quality measurement is possible only by quantifying the characteristics affecting the software quality. For measuring the quality, the parameters or quality factors are considered that vary over...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.