数据挖掘的并行和分布式计算

Albert Y. Zomaya, T. El-Ghazawi, O. Frieder
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引用次数: 19

摘要

其他领域也会出现类似的情况:随着互联网和电子商务的不断发展,我们将看到医院产生大量的放射图像,以及庞大的产品和客户数据库从这些数据中探索有用的信息需要在具有强大并行I/O功能的高性能计算系统上运行高效的并行算法。如果没有这样的系统和技术,宝贵的数据和信息就不会被发现。我们还需要量化检索相关信息所需的时间,用于时间要求严格的应用程序,如信用卡欺诈检测。2-9个你应该知道的术语
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Parallel and distributed computing for data mining
Similar scenarios will occur in other areas: we will see large numbers of radiological images generated in hospitals and immense product and customer databases as the Internet and e-commerce continue to expand.1 Exploring useful information from such data will require efficient parallel algorithms running on high-performance computing systems with powerful parallel I/O capabilities. Without such systems and techniques, invaluable data and information will remain undiscovered. We also need to quantify the time it takes to retrieve pertinent information, for time-critical applications such as credit card fraud detection.2–9 Terms you should know
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