yisimonsz的专栏

近年来，组织中的数据有了巨大的增长。这些数据已经成为竞争、生产力、增长和创新的基础。通过互联网、社交媒体和多媒体的数据量的增加为利用信息的力量增加了新的挑战和机遇。今天有很多关于使用组织结构的讨论 数据导出值。随着企业应对需要高质量数据的战略和运营挑战，数据治理正在成为企业信息管理的一个重要领域。

Microsoft 的编程语言 VC++2017， VC++2015， 2013, 2012，2010，2008 等各个版本，

大数据与数据仓库 Data Warehousing in the Age of Big Data 大数据时代的数据仓库技术，大数据处理技术，案例分析

比较专业和全面的大数据著作。大数据原理，介绍大数据定义，结构与非结构数据，辨识，本体和语义，数据集成与互操作，大数据工具，频率分布，均值-标准差等等。

系统与控制方面的经典，值得读。 包括线性系统、非线性系统等

概率推理、智能系统，贝叶斯网、马尔科夫网方面的经典书

本书是一本经典的人工智能教材。全面系统地阐述了人工智能的基础理论，有效结合了求解智能问题的数据结构以及实现的算法，把人工智能的应用程序应用于实际环境中，并从社会和哲学、心理学以及神经生理学角度对人工智能进行了独特的讨论。新版中增加了对“随机方法”的介绍，提出了自然语言理解中的一些问题。 　　本书适合作为高等院校计算机教学中的人工智能教材，也可供人工智能领域的研究者及相关工程技术人员参考。

XML数据库利用XML标准存储管理和发布数据，在网络环境、云计算和电子商务中有重要应用。本书共分6章，分别介绍了有关的基础知识，包括XML、DTD、XML模式、XPath和XQuery等；介绍了XML数据库的存储结构、索引技术和事务管理进行了综述；讨论了基于关系的XML数据库技术，包括各种映射XML数据到关系存储的方法。

Ontologies: Silver Bullet for Knowledge Management and Electronic Commerce Currently computers are changing from single isolated devices to entry points into a world wide network of information exchange and business transactions called the World Wide Web (WWW). Therefore support in the exchange of data, information, and knowledge exchange is becoming the key issue in current computer technology. Ontologies provide a shared and common understanding of a domain that can be communicated between people and application systems. Therefore, they may play a major role in supporting information exchange processes in various areas. This book discusses the role ontologies will play in knowledge management and in electronic commerce. In addition, I show how arising web standards such as RDF and XML can be used as an underlying representation languages for ontologies.

主要的计算智能方法，包括遗传编程、遗传策略和遗传算法。Evolutionary programming (EP), evolution strategies (ESs), and genetic algorithms (GAs),

Handbook of Research on Business Process Modeling, including business process, modeling, modeling process, workflow, web process, semantic business process,business process engineering

Handbook of Research on Business Process Modeling, including business process, modeling, modeling process, workflow, web process, semantic business process,business process engineering

This book provides a definition and study of a knowledge representation and reasoning formalism stemming from conceptual graphs, while focusing on the computational properties of this formalism. Knowledge can be symbolically represented in many ways. The knowledge representation and reasoning formalism presented here is a graph formalism – knowledge is represented by labeled graphs, in the graph theory sense, and reasoning mechanisms are based on graph operations, with graph homomorphism at the core.

This book provides relevant background on GIS that is useful in understanding its advanced applications in water resources engineering. The book has been developed with two primary sections. For the first part of the book (Chapters 1–4), the emphasis is on developing an understanding of the nature of GIS, recognizing how a GIS is used to develop and analyze geographic data, differentiating between the various types of geographic data and GISs, and summarizing data development and database concepts. Primary field-data collection and methods of interpretation and analysis are also introduced. The second part of the book (Chapters 5–12) focuses on the various subdomains of water resources engineering, the data involved, linkage of GIS data with water resource analysis models, and management applications. Applications include watershed hydrologic and groundwater modeling, water and wastewater demand forecasting, pipe network modeling, nonpoint sources of water pollution, floodplain delineation, facilities management, water resources monitoring and forecasting, and river-basin management decision-support systems. The applications include descriptions of GIS database development, analysis background theory, and model integration with the GIS.