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Java Data Science Cookbook.pdf

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    Java Data Science Cookbook
    Credits
    About the Author
    About the Reviewer
    www.PacktPub.com
    Why subscribe?
    Customer Feedback
    Preface
    What this book covers
    What you need for this book
    Who this book is for
    Sections
    Getting ready
    How to do it...
    How it works...
    There's more...
    See also
    Conventions
    Reader feedback
    Customer support
    Downloading the example code
    Downloading the color images of this book
    Errata
    Piracy
    Questions
    1. Obtaining and Cleaning Data
    Introduction
    Retrieving all filenames from hierarchical directories using Java
    Getting ready
    How to do it...
    Retrieving all filenames from hierarchical directories using Apache Commons IO
    Getting ready
    How to do it...
    Reading contents from text files all at once using Java 8
    How to do it...
    Reading contents from text files all at once using Apache Commons IO
    Getting ready
    How to do it...
    Extracting PDF text using Apache Tika
    Getting ready
    How to do it...
    Cleaning ASCII text files using Regular Expressions
    How to do it...
    Parsing Comma Separated Value (CSV) Files using Univocity
    Getting ready
    How to do it...
    Parsing Tab Separated Value (TSV) file using Univocity
    Getting ready
    How to do it...
    Parsing XML files using JDOM
    Getting ready
    How to do it...
    Writing JSON files using JSON.simple
    Getting ready
    How to do it...
    Reading JSON files using JSON.simple
    Getting ready
    How to do it ...
    Extracting web data from a URL using JSoup
    Getting ready
    How to do it...
    Extracting web data from a website using Selenium Webdriver
    Getting ready
    How to do it...
    Reading table data from a MySQL database
    Getting ready
    How to do it...
    2. Indexing and Searching Data
    Introduction
    Indexing data with Apache Lucene
    Getting ready
    How to do it...
    How it works...
    Searching indexed data with Apache Lucene
    Getting ready
    How to do it...
    3. Analyzing Data Statistically
    Introduction
    Generating descriptive statistics
    How to do it...
    Generating summary statistics
    How to do it...
    Generating summary statistics from multiple distributions
    How to do it...
    There's more...
    Computing frequency distribution
    How to do it...
    Counting word frequency in a string
    How to do it...
    How it works...
    Counting word frequency in a string using Java 8
    How to do it...
    Computing simple regression
    How to do it...
    Computing ordinary least squares regression
    How to do it...
    Computing generalized least squares regression
    How to do it...
    Calculating covariance of two sets of data points
    How to do it...
    Calculating Pearson's correlation of two sets of data points
    How to do it...
    Conducting a paired t-test
    How to do it...
    Conducting a Chi-square test
    How to do it...
    Conducting the one-way ANOVA test
    How to do it...
    Conducting a Kolmogorov-Smirnov test
    How to do it...
    4. Learning from Data - Part 1
    Introduction
    Creating and saving an Attribute-Relation File Format (ARFF) file
    How to do it...
    Cross-validating a machine learning model
    How to do it...
    Classifying unseen test data
    Getting ready
    How to do it...
    Classifying unseen test data with a filtered classifier
    How to do it...
    Generating linear regression models
    How to do it...
    Generating logistic regression models
    How to do it...
    Clustering data points using the KMeans algorithm
    How to do it...
    Clustering data from classes
    How to do it...
    Learning association rules from data
    Getting ready
    How to do it...
    Selecting features/attributes using the low-level method, the filtering method, and the meta-classifier method
    Getting ready
    How to do it...
    5. Learning from Data - Part 2
    Introduction
    Applying machine learning on data using Java Machine Learning (Java-ML) library
    Getting ready
    How to do it...
    Classifying data points using the Stanford classifier
    Getting ready
    How to do it...
    How it works...
    Classifying data points using Massive Online Analysis (MOA)
    Getting ready
    How to do it...
    Classifying multilabeled data points using Mulan
    Getting ready
    How to do it...
    6. Retrieving Information from Text Data
    Introduction
    Detecting tokens (words) using Java
    Getting ready
    How to do it...
    Detecting sentences using Java
    Getting ready
    How to do it...
    Detecting tokens (words) and sentences using OpenNLP
    Getting ready
    How to do it...
    Retrieving lemma, part-of-speech, and recognizing named entities from tokens using Stanford CoreNLP
    Getting ready
    How to do it...
    Measuring text similarity with Cosine Similarity measure using Java 8
    Getting ready
    How to do it...
    Extracting topics from text documents using Mallet
    Getting ready
    How to do it...
    Classifying text documents using Mallet
    Getting ready
    How to do it...
    Classifying text documents using Weka
    Getting ready
    How to do it...
    7. Handling Big Data
    Introduction
    Training an online logistic regression model using Apache Mahout
    Getting ready
    How to do it...
    Applying an online logistic regression model using Apache Mahout
    Getting ready
    How to do it...
    Solving simple text mining problems with Apache Spark
    Getting ready
    How to do it...
    Clustering using KMeans algorithm with MLib
    Getting ready
    How to do it...
    Creating a linear regression model with MLib
    Getting ready
    How to do it...
    Classifying data points with Random Forest model using MLib
    Getting ready
    How to do it...
    8. Learn Deeply from Data
    Introduction
    Creating a Word2vec neural net using Deep Learning for Java (DL4j)
    How to do it...
    How it works...
    There's more
    Creating a Deep Belief neural net using Deep Learning for Java (DL4j)
    How to do it...
    How it works...
    Creating a deep autoencoder using Deep Learning for Java (DL4j)
    How to do it...
    How it works...
    9. Visualizing Data
    Introduction
    Plotting a 2D sine graph
    Getting ready
    How to do it...
    Plotting histograms
    Getting ready
    How to do it...
    Plotting a bar chart
    Getting ready
    How to do it...
    Plotting box plots or whisker diagrams
    Getting ready
    How to do it...
    Plotting scatter plots
    Getting ready
    How to do it...
    Plotting donut plots
    Getting ready
    How to do it...
    Plotting area graphs
    Getting ready
    How to do it...
    Java Data Science Cookbook
    Table of Contents Java Data Science Cookbook Credits About the Author About the Reviewer www.PacktPub.com Why subscribe? Customer Feedback Preface What this book covers What you need for this book Who this book is for Sections Getting ready How to do it… How it works… There’s more… See also Conventions Reader feedback Customer support Downloading the example code Downloading the color images of this book Errata Piracy Questions 1. Obtaining and Cleaning Data Introduction Retrieving all filenames from hierarchical directories using Java
    Getting ready How to do it… Retrieving all filenames from hierarchical directories using Apache Commons IO Getting ready How to do it… Reading contents from text files all at once using Java 8 How to do it… Reading contents from text files all at once using Apache Commons IO Getting ready How to do it… Extracting PDF text using Apache Tika Getting ready How to do it… Cleaning ASCII text files using Regular Expressions How to do it… Parsing Comma Separated Value (CSV) Files using Univocity Getting ready How to do it… Parsing Tab Separated Value (TSV) file using Univocity Getting ready How to do it… Parsing XML files using JDOM Getting ready How to do it… Writing JSON files using JSON.simple Getting ready How to do it… Reading JSON files using JSON.simple Getting ready How to do it … Extracting web data from a URL using JSoup
    Getting ready How to do it… Extracting web data from a website using Selenium Webdriver Getting ready How to do it… Reading table data from a MySQL database Getting ready How to do it… 2. Indexing and Searching Data Introduction Indexing data with Apache Lucene Getting ready How to do it… How it works… Searching indexed data with Apache Lucene Getting ready How to do it… 3. Analyzing Data Statistically Introduction Generating descriptive statistics How to do it… Generating summary statistics How to do it… Generating summary statistics from multiple distributions How to do it… There’s more… Computing frequency distribution How to do it… Counting word frequency in a string How to do it… How it works…
    Counting word frequency in a string using Java 8 How to do it… Computing simple regression How to do it… Computing ordinary least squares regression How to do it… Computing generalized least squares regression How to do it… Calculating covariance of two sets of data points How to do it… Calculating Pearson’s correlation of two sets of data points How to do it… Conducting a paired t-test How to do it… Conducting a Chi-square test How to do it… Conducting the one-way ANOVA test How to do it… Conducting a Kolmogorov-Smirnov test How to do it… 4. Learning from Data - Part 1 Introduction Creating and saving an Attribute-Relation File Format (ARFF) file How to do it… Cross-validating a machine learning model How to do it… Classifying unseen test data Getting ready How to do it… Classifying unseen test data with a filtered classifier How to do it…
    Generating linear regression models How to do it… Generating logistic regression models How to do it… Clustering data points using the KMeans algorithm How to do it… Clustering data from classes How to do it… Learning association rules from data Getting ready How to do it… Selecting features/attributes using the low-level method, the filtering method, and the meta-classifier method Getting ready How to do it… 5. Learning from Data - Part 2 Introduction Applying machine learning on data using Java Machine Learning (Java-ML) library Getting ready How to do it… Classifying data points using the Stanford classifier Getting ready How to do it… How it works… Classifying data points using Massive Online Analysis (MOA) Getting ready How to do it… Classifying multilabeled data points using Mulan Getting ready How to do it… 6. Retrieving Information from Text Data Introduction
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