The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Data mining, or Knowledge Discovery in Databases (KDD), is of little benefit to commercial enterprises unless it can be carried out efficiently on realistic volumes of data. Operational factors also dictate that KDD should be performed within the context of standard DBMS. Fortunately, relational DBMS have a declarative query interface (SQL) that has allowed designers of parallel hardware to exploit...
Most of the KDD (Knowledge Discovery in Databases) algorithms proposed in the literature have been applied to relatively small datasets and do not permit any integration with a DBMS. Hence, the application of these algorithms to the huge amounts of data found in current databases and data warehouses faces serious scalability problems, particularly the problem of excessive learning time. This paper...
A multicomputer system is described incorporating an exchange which can connect up to 12 units. A description of the overall architecture is followed by a detailed discussion of the exchange design. This includes a storage transfer unit which has a maximum throughput of 89 Mbytes/s. A review of the timing and technology, and error analysis conclude the paper.
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.