[算法与数据结构] Granular Computing based Machine Learning. A Big Data Processing Approach

说明： The ideas introduced in this book explore the relationships among big data, machine learning and granular computing. In many studies, machine learning has been considered as a powerful tool of big data processing. The relationship between big data a
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[算法与数据结构] Data Science Foundations. Geometry and Topology of Complex Hierarchic Systems

说明： This book describes solid and supportive foundations for the data science of our times, with many illustrative cases. Core to these foundations are mathematics and computational science. Our thinking and decision-making in regard to data can follow
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[spark] Internet of things and big data analytics toward next-generation intelligence

说明： This book highlights state-of-the-art research on big data and the Internet of Things (IoT), along with related areas to ensure efficient and Internet-compatible IoT systems. It not only discusses big data security and privacy challenges, but also e
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[spark] Guide to Big Data Applications

说明： This handbook brings together a variety of approaches to the uses of big data in multiple fields, primarily science, medicine, and business. This single resource features contributions from researchers around the world from a variety of fields, wher
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[spark] Big Data Processing Using Spark in Cloud

说明： The book describes the emergence of big data technologies and the role of Spark in the entire big data stack. It compares Spark and Hadoop and identifies the shortcomings of Hadoop that have been overcome by Spark. The book mainly focuses on the in-
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[算法与数据结构] Introduction to data mining

说明： 作者：Pang-Ning Tan,Michael Steinbach, Vpin Kumar Data mining is a technology that blends traditional data analysis methods with sophisticated algorithms for processing large volumes of data. It has also opened up exciting opport unities for exploring
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[spark] spark性能调优（参数设置）

说明： 要做好调优，前期相关的规划设计也非常重要。如： HBase 的表设计， Region 分区； Spark 的数据来源等；本章节主要阐述与性能调优强相关的部分设计约束。本文主要描 述相关的要点，具体的设计请参考相关的二次开发文档指导。
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[kafka] kafka安装配置详解

说明： jdk1.8，zookeeper，kafka的安装配置，下再，解压，更改配置，测试是否安装成功
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[spark] Spark大数据分析核心概念技术及实践OCR

说明： Spark大数据分析，核心概念、技术及实践。本书是大数据和 Spark 方面的一本简明易懂的手册。
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[算法与数据结构] spss modeler软件使用

说明： 数据挖掘可视化工具，可以提供数据抓取，过滤，分类，排序，存储，分析等功能。
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[算法与数据结构] High Dimension Similarity Search

说明： 1、支持高维向量的相似度计算 2、有前端界面，对用户友好。
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[算法与数据结构] Elements of Computational Statistics(Springer)

说明： Computational statistics shares two hallmarks with other “computational” sciences, such as computational physics, computational biology, and so on. One is a characteristic of the methodology: it is computationally intensive. The other is the nature
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