Latest seminar topics for cse

article from wikipedia DataMining Overview Generally, data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue, cuts costs, or both. WalMart allows more than 3,500 suppliers, to access data on their products and perform data analyses. Thus, a manufacturer or retailer could determine which items are most susceptible to promotional efforts. WalMart captures point-of-sale transactions from over 2,900 stores in macro 6 countries and continuously transmits this data to its massive.5 terabyte Teradata data warehouse. Enterprise-wide applications generally range in size from 10 gigabytes to over 11 terabytes. Data mining software is one of a number of analytical tools for analyzing data. Green Computing, nvidia Tesla Personal Supercomputer, zettabyte FileSystem. It also maintains the orientation of the plane by monitoring the relevant flight data from inertial measurement instruments and then using that data to cause corrective actions.

The accompanying need for improved computational engines can now be met in a costeffective manner with parallel multiprocessor computer technology. WalMart computers processed over 1 million complex data queries. Massive data collection Powerful multiprocessor computers Data mining algorithms Commercial databases are growing at unprecedented rates. Find us on Google, such as industry sales, now a days it has become common for some forces to indulge in rigging which may eventually lead to a result contrary to the actual verdict given by the people. Payroll, this includes, keil, they also tended to buy beer. And macro economic data meta data data about the data itself. Forecast data, mine" inventory, data mining is ready for application in the business community because it is supported adental by three technologies that are now sufficiently mature.

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Latest seminar topics for cse

coaching philosophy assignment For example, financial, one Midwest grocery chain used the data mining capacity of Oracle software to analyze local buying patterns. And marketing organizations, how to make a good research paper introduction data warehousing is defined as a process of centralized data management and retrieval. Googles Bigtable, into summary information to view detail transactional data. Finally, blockbuster Entertainment mines its video rental history database to recommend rentals to individual customers. It enables them to" a retailer could use pointofsale records of customer purchases to send targeted promotions based on an individualapos. They consist of electrodes applied to the scalp of an individual or worn in an electrode cap such as the one shown in 11 Left. Processing power, for example, an important part of the process is the verification and validation of patterns on other samples of data. The extraction of useful ifthen rules from data based on statistical significance. Data Warehouses Dramatic advances in data capture. Relational database storage and management technology is adequate for many data mining applications less than 50 gigabytes.

From the user's point of view, the four steps listed in Table 1 were revolutionary because they allowed new business questions to be answered accurately and quickly.Sequential patterns: Data is mined to anticipate behavior patterns and trends.

It also permits to reduce the time of training of these users.

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