Rcpp is an R add-on package which facilitates extending R with C++ functions. It is being used for anything from small and quickly constructed add-on functions written either to fluidly experiment with something new or to accelerate computing by replacing an R function with its C++ equivalent to large-scale bindings for existing libraries, or as a building block in entirely new research computing environments. While still relatively new as a project, Rcpp has already become widely deployed among users and developers in the R community. Rcpp is now the most popular language extension for the R system and used by over 100 CRAN packages as well as ten BioConductor packages. This books aims to provide a solid introduction to Rcpp

Spring Integration Essentials 英文epub 本资源转载自网络，如有侵权，请联系上传者或csdn删除 查看此书详细信息请在美国亚马逊官网搜索此书

Spring Integration is a Java-based enterprise integration framework that provides a lightweight alternative to more traditional ESBs. By merging the 'Enterprise Integration Patterns' outlined by Hohpe and Woolf (Addison Wesley, 2003) with the programming model of the Spring framework, Spring Integration is remarkably powerful and yet easy to use., , Spring Integration in Action is a hands-on guide to Spring-based messaging and integration. After addressing the core messaging patterns, the book turns to the adapters that enable integration with external systems. Readers will explore real-world enterprise integration scenarios using JMS, Web Services, file systems, and email. The book concludes with a practical guide to advanced topics such as concurrency, performance, system-management, and monitoring.

ISO 20140 Series Automation systems and integration — Evaluating energy efficiency and other factors of manufacturing systems that influence the environment.7z

IEC 62264 Series Enterprise-control system integration.7z

VLDB2021最新《数据增强机器学习》教程，194页ppt阐述知识库的完整性、召回与否定 VLDB会议全称International Conference on Very Large Date Bases，是数据库领域的顶级学术会议和另外两大数据库会议SIGMOD、ICD共同构成了数据库领域的三大顶级会议。本教程讲述数据增强机器学习相关主题。 近年来，我们看到了新的数据增强(DA)技术的发展，用于创建基于机器学习的解决方案所需的额外训练数据。在本教程中，我们将全面概述由数据管理社区开发的用于数据准备和数据集成的技术。除了调查利用规则、转换和外部知识创建额外训练数据的特定任务DA操作符之外，我们还探索了高级DA技术，如插值、条件生成和DA策略学习。最后，我们描述了数据挖掘与其他机器学习范式(如主动学习、预训练和弱监督学习)之间的联系。我们希望这一讨论能够为高质量数据集创建的整体数据增强框架的未来研究方向提供启示。

SQL Server Integration Services 是用于生成企业级数据集成和数据转换解决方案的平台

阿帕奇骆驼 是一个强大的开源集成框架，基于流行的Enterprise Integration Patterns和功能强大的bean集成。 介绍 Camel支持创建Enterprise Integration Patterns，以通过基于Spring或Blueprint的Xml Configuration文件，或者通过Scala DSL，以基于Java的特定于域的语言（或Fluent API）实现路由和中介规则。 这意味着无论是在Java，Scala还是XML编辑器中，您都可以在IDE中巧妙地完成路由规则。 Apache Camel使用URI来实现与各种传输或消息传递模型（包括HTTP，Ac

AN-IMC-1-001_Integration_of the_Vector_CCP_Driver

《Enterprise Integration Patterns --企业集成模式:设计、构建及部署消息传递解决方案》 英文版，全本 非扫描。搞企业应用集成的，值得参考。