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    • 1. 发明申请
    • SYSTEM AND METHOD FOR PROCESSING LARGE AMOUNTS OF TRANSACTIONAL DATA
    • 用于处理大量交易数据的系统和方法
    • WO2010144225A1
    • 2010-12-16
    • PCT/US2010/035428
    • 2010-05-19
    • BARCLAYS CAPITAL INC.MOND, AmarAGRAWAL, Amit
    • MOND, AmarAGRAWAL, Amit
    • G06Q40/00
    • G06Q10/00G06Q40/00
    • A system including a reference data server, a load balancer, a first stage processing system and a second stage processing system. The first stage processing modules execute at least one process of a first set of processes on the reconfigured data to generate first stage processed data, each of the first processing modules comprising an in-memory cache that stores a second set of data used in the process, and a first stage data storage system that stores the first stage processed transactional data. The second stage processing modules execute a second set of processes on the first stage processed data to generate second stage processed data, each of the second processing modules comprising an in-memory cache that stores a third set of data related to process, and a second stage data storage system that stores the second stage processed data.
    • 一种包括参考数据服务器,负载平衡器,第一级处理系统和第二级处理系统的系统。 所述第一阶段处理模块执行所述重构数据上的第一组进程的至少一个进程以产生第一阶段处理的数据,所述第一处理模块中的每一个包括存储在所述进程中使用的第二组数据的内存中高速缓存 以及存储第一级处理的事务数据的第一级数据存储系统。 第二级处理模块在第一级处理的数据上执行第二组处理以产生第二阶段处理的数据,每个第二处理模块包括存储与处理相关的第三组数据的内存中高速缓存,第二组处理数据 存储第二阶段处理的数据的阶段数据存储系统。
    • 9. 发明申请
    • SYSTEM AND METHOD FOR INFERRING A NETWORK OF ASSOCIATIONS
    • 传播联盟网络的系统和方法
    • WO2008044242A2
    • 2008-04-17
    • PCT/IN2007/000317
    • 2007-07-25
    • PERSISTENT SYSTEMS PRIVATE LIMITEDAGRAWAL, AmitVAISHAMPAYAN, RohitAshutosh
    • AGRAWAL, AmitVAISHAMPAYAN, RohitAshutosh
    • G06N5/022
    • A network association mining algorithm and associated methods are presented which accepts data from biological and other experiments and automatically produces a network and attempts to explain the behavior of the biological or other system underlying the data using evolutionary techniques. The model and associated methods aim to identify the inter-relationships consistent with data and other prior knowledge supplied to the system. The network is represented in terms of coupled dynamical system. These dynamical systems are represented by differential or difference equations to educe these dynamical systems and coupling between them, an evolutionary algorithm is used. The output of the linkage finder could assist scientists to better understand the systems underlying and to guess at surrogate data.
    • 提出了一种网络关联挖掘算法和相关方法,它接受来自生物学和其他实验的数据,并自动产生一个网络,并尝试使用进化技术来解释生物或其他基于数据的系统的行为。 该模型和相关方法旨在确定与提供给系统的数据和其他现有知识一致的相互关系。 网络用耦合动力系统表示。 这些动力学系统由差分方程或差分方程表示,以便对这些动力学系统进行解耦并在它们之间进行耦合,使用了进化算法。 联动查找器的输出可以帮助科学家更好地了解潜在的系统并猜测替代数据。