导语

  

内容提要

  

    数据分析是包含检查、清洗、转化和建模的整个过程，旨在发现有用的信息。Java是实现数据分析任务的最流行语言之一。
    约翰·R.哈伯德著的这本《Java数据分析(影印版)(英文版)》将提供数据科学和相关流程步骤的快速概览。你将从中学到统计数据分析技巧，并通过流行的Java API和类库把它们实现。你还能在实际案例中学到诸如分类和回归之类的机器学习概念。
    在这个过程中，你将熟悉RapidMinet和Weka等工具，了解这些Java工具如何更有效地用于分析。还会学到如何与关系型、NoSQL和时间序列数据打交道。本书也将介绍如何利用不同的Java类库创建富有洞见又容易理解的图表。
    学完本书，你将对多种数据分析技巧和相应的Java实现拥有扎实的基础知识。

Preface
Chapter 1: Introduction to Data Analysis
  Origins of data analysis
  The scientific method
  Actuarial science
  Calculated by steam
  A spectacular example
  Herman Hollerith
  ENIAC
  VisiCalc
  Data, information, and knowledge
  Why Java?
  Java Integrated Development Environments
  Summary
Chapter 2: Data Pre_processing
  Data types
  Variables
  Data points and datasets
  Null values
  Relational database tables
  Key fields
  Key-value pairs
  Hash tables
  File formats
  Microsoft Excel data
  XML and JSON data
  Generating test datasets
  Metadata
  Data cleaning
  Data scaling
  Data filtering
  Sorting
  Merging
  Hashing
  Summary
Chapter 3: Data Visualization
  Tables and graphs
  Scatter plots
  Line graphs
  Bar charts
  Histograms
  Time series
  Java implementation
  Moving average
  Data ranking
  Frequency distributions
  The normal distribution
  A thought experiment
  The exponential distribution
  Java example
  Summary
Chapter 4: Statistics
  Descriptive statistics
  Random sampling
  Random variables
  Probability distributions
  Cumulative distributions
  The binomial distribution
  Multivariate distributions
  Conditional probability
  The independence of probabilistic events
  Contingency tables
  Bayes' theorem
  Covariance and correlation
  The standard normal distribution
  The central limit theorem
  Confidence intervals
  Hypothesis testing
  Summary
Chapter 5: Relational Databases
  The relation data model
  Relational databases
  Foreign keys
  Relational database design
  Creating a database
  SQL commands
  Inserting data into the database
  Database queries
  SQL data types
  JDBC
  Using a JDBC PreparedStatement
  Batch processing
  Database views
  Subqueries
  Table indexes
  Summary
Chapter 6: Regression Analysis
  Linear regression
  Linear regression in Excel
  Computing the regression coefficients
  Variation statistics
  Java implementation of linear regression
  Anscombe's quartet
  Polynomial regression
  Multiple linear regression
  The Apache Commons implementation
  Curve fitting
  Summary
Chapter 7: Classification Analysis
  Decision trees
  What does entropy have to do with it?
  The ID3 algorithm
  Java Implementation of the ID3 algorithm
  The Weka platform
  The ARFF filetype for data
  Java implementation with Weka
  Bayesian classifiers
  Java implementation with Weka
  Support vector machine algorithms
  Logistic regression
  K-Nearest Neighbors
  Fuzzy classification algorithms
  Summary
Chapter 8: Cluster Analysis
  Measuring distances
  The curse of dimensionality
  Hierarchical clustering
  Weka implementation
  K-means clustering
  K-mecloids clustering
  Affinity propagation clustering
  Summary
Chapter 9: Recommender Systems
  Utility matrices
  Similarity measures
  Cosine similarity
  A simple recommender system
  Amazon's item-to-item collaborative filtering recommender
  Implementing user ratings
  Large sparse matrices
  Using random access files
  The Netflix prize
  Summary
Chapter 10: NoSQL Databases
  The Map data structure
  SQL versus NoSQL
  The Mongo database system
  The Library database
  Java development with MongoDB
  The MongoDB extension for geospatial databases
  Indexing in MongoDB
  Why NoSQL and why MongoDB?
  Other NoSQL database systems
  Summary
Chapter 11：Data Analysis with Java
  Scaling, data striping, and sharding
  Google's PageRank algorithm
  Google's MapReduce framework
  Some examples of MapReduce applications
  The WordCount example
  Scalability
  Matrix multiplication with MapReduce
  MapReduce in MongoDB
  Apache Hadoop
  Hadoop MapReduce
  Summary
  Appendix: Java Tools
  The command line
  Java
  NetBeans
  MySQL
  MySQL Workbench
  Accessing the MySQL database from NetBeans
  The Apache Commons Math Library
  The javax JSON Library
  The Weka libraries
  MongoDB
Index