Index

A

• actuarial science / Actuarial science
• affinity propagation clustering / Affinity propagation clustering
• aggregate function / Subqueries
• alternative hypothesis / Hypothesis testing
• Amazon Standard Identification Number (AISM) / The Map data structure
• American College Board Scholastic Aptitude Test in mathematics (AP math test) / The standard normal distribution
• Anscombe's quartet / Anscombe's quartet
• Apache Commons
  • download link / The Apache Commons Math Library
• Apache Commons implementation / The Apache Commons implementation
• Apache Commons Math Library
  • about / The Apache Commons Math Library
  • using / The Apache Commons Math Library
• Apache Hadoop
  • about / Apache Hadoop
• Apache Software Foundation
  • about / The Apache Commons Math Library
  • references, for projects / The Apache Commons Math Library
• ARFF filetype / The ARFF filetype for data
• associative array / The Map data structure
• Attribute-Relation File Format (ARFF)
  • about / The ARFF filetype for data
  • reference / The ARFF filetype for data
• attribute-value pairs / Key-value pairs
• attributes / Data points and datasets

B

• B-tree / Table indexes
• backward elimination
  • about / K-Nearest Neighbors
• bar chart
  • about / Bar charts
  • generating / Bar charts
• batch mode / Inserting data into the database
• batch processing / Batch processing
• Bayes' theorem / Bayes' theorem
• Bayesian classifiers
  • about / Bayesian classifiers
  • Java implementation, with Weka / Java implementation with Weka
  • support vector machine algorithms / Support vector machine algorithms
• Binary Search algorithm
  • about / Decision trees
• binomial coefficient / The binomial distribution
• binomial distribution / The binomial distribution
• bins
  • about / Histograms
• BSON object / Java development with MongoDB
• bulk write / The Mongo database system

C

• 95% confidence coefficient / Confidence intervals
• calculated by steam / Calculated by steam
• Canberra metric / Measuring distances
• Cartesian plane / Measuring distances
• Cartesian product / The relation data model
• Cassandra / Other NoSQL database systems
• central limit theorem / The central limit theorem
• Chebyshev metric / Measuring distances
• chessboard metric / Measuring distances
• column data model / Other NoSQL database systems
• column store / The Mongo database system
• comma separated values (CSV)
  • about / File formats
• Commons Math API
  • reference / Descriptive statistics
• complexity analysis / Hierarchical clustering
• compound indexes / Indexing in MongoDB
• conditional probability / Conditional probability
• confidence intervals / Confidence intervals
• content-based recommendation / Utility matrices
• contingency tables / Contingency tables
• continuous distribution / The standard normal distribution
• correlation coefficient / Covariance and correlation
• cosine similarity / Cosine similarity
• covariance / Covariance and correlation
• crosstab tables / Contingency tables
• cumulative distribution function (CDF) / The exponential distribution, Cumulative distributions
• curse of dimensionality / The curse of dimensionality
• curve fitting / Curve fitting

D

• data / Data, information, and knowledge
  • inserting, into database / Inserting data into the database
• data analysis
  • origins / Origins of data analysis
• database
  • creating / Creating a database
  • data, inserting into / Inserting data into the database
• database driver / JDBC
• database query / Database queries
• database schema
  • creating, in MySQL / MySQL Workbench
• database views / Database views
• data cleaning / Data cleaning
• Data Definition Language (DDL) / SQL commands
• data filtering / Data filtering
• Data Manipulation Language (DML) / SQL commands
• data normalization / Data scaling
• data points / Data points and datasets
• data ranking / Data ranking
• data scaling / Data scaling
• data scrubbing / Data cleaning
• datasets / Data points and datasets
• data striping / Scaling, data striping, and sharding
• data types / Data types
• decile
  • about / Descriptive statistics
• decision tree
  • about / Decision trees
• density function / The normal distribution
• descriptive statistic
  • about / Descriptive statistics
• Development Environment (IDE) / Java Integrated Development Environments
• dictionary / The Map data structure
• discrete distribution / The standard normal distribution
• distances
  • measuring / Measuring distances
• divide and conquer / Google's MapReduce framework
• document data model / Other NoSQL database systems
• document store / The Mongo database system
• domain / The relation data model
• dynamic schemas / Java development with MongoDB

E

• Electronic Numerical Integrator and Computer (ENIAC) / ENIAC
• entropy
  • definingTopicnabout / What does entropy have to do with it?
• event
  • about / Random sampling
• Excel
  • linear regression, performing in / Linear regression in Excel
• exemplars / Affinity propagation clustering
• explained variation / Variation statistics
• exponential distribution / The exponential distribution
• Extensible Markup Language (XML) / XML and JSON data

F

• false negative / Bayes' theorem
• false positive / Bayes' theorem
• fields / Data points and datasets, The relation data model
• file formats
  • about / File formats
• foreign key / Foreign keys
• frequency distribution / Frequency distributions
• fuzzy classification algorithms
  • about / Fuzzy classification algorithms

G

• Generalized Markup Language (GML) / XML and JSON data
• GeoJSON object types / The MongoDB extension for geospatial databases
• geospatial databases
  • reference / The MongoDB extension for geospatial databases
• graph data model / Other NoSQL database systems
• graphs / Tables and graphs

H

• Hadoop Common / Apache Hadoop
• Hadoop Distributed File System (HDFS) / Apache Hadoop
• Hadoop MapReduce / Apache Hadoop
  • about / Hadoop MapReduce
  • WordCount program / Hadoop MapReduce
  • reference, for example / Hadoop MapReduce
• Hadoop YARN / Apache Hadoop
• Hamming distance / Similarity measures
• Hamming similarity / Similarity measures
• hash / Hashing
• hash codes / Hashing
• hash function
  • properties / Hashing
• hashing / Hashing
• hash table / Hash tables, Large sparse matrices
• HBase / Other NoSQL database systems
• Herman Hollerith / Herman Hollerith
• hierarchical clustering
  • about / Hierarchical clustering
  • Weka implementation / Weka implementation
  • K-means clustering / K-means clustering
  • k-medoids clustering / K-medoids clustering
  • affinity propagation clustering / Affinity propagation clustering
• histogram
  • about / Histograms
• horizontal scaling / Scaling, data striping, and sharding
• hypothesis testing / Hypothesis testing

I

• ID3 algorithm
  • about / The ID3 algorithm
  • Java implementation / Java Implementation of the ID3 algorithm
  • Java implementation, with Weka / Java implementation with Weka
• indexing
  • in MongoDB / Indexing in MongoDB
• information / Data, information, and knowledge
• instance / The relation data model
• International Business Machines Corporation (IBM) / Herman Hollerith
• International Standard Book Numbers / The Map data structure
• item-based recommendation / Utility matrices
• item-to-item collaborative filtering recommender / Amazon's item-to-item collaborative filtering recommender
• Iterative Dichotomizer 3
  • about / The ID3 algorithm

J

• Java
  • about / Why Java?
  • features / Why Java?
• Java Database Connectivity (JDBC) / JDBC
• Java DB / Creating a database
• Java development
  • with MongoDB / Java development with MongoDB
• Java implementation
  • example / Java implementation
  • of linear regression / Java implementation of linear regression
  • of ID3 algorithm / Java Implementation of the ID3 algorithm
• Java Integrated Development Environments / Java Integrated Development Environments
• JavaScript Object Notation (JSON) / XML and JSON data
• javax.json library
  • about / The javax JSON Library
• JDBC PreparedStatement
  • using / Using a JDBC PreparedStatement
• joint probability function / Multivariate distributions
• JSON (JavaScript Object Notation) / The Mongo database system
• JSON data / XML and JSON data
• JSON event types
  • identifying / XML and JSON data
• JSON files
  • parsing / XML and JSON data

K

• K-Means++ algorithm / K-means clustering
• K-means clustering / K-means clustering
• k-medoids clustering / K-medoids clustering
• K-Nearest Neighbor (KNN) / K-means clustering
• K-Nearest Neighbors
  • about / K-Nearest Neighbors
• key-value data model / Other NoSQL database systems
• key-value pairs (KVP) / Key-value pairs
• key field / Key fields
• key values / Key fields
• knowledge / Data, information, and knowledge
• kurtosis
  • about / Descriptive statistics

L

• large sparse matrices / Large sparse matrices
• least-squares parabola
  • about / Polynomial regression
• level of significance / Hypothesis testing
• lexicographic order / Large sparse matrices
• Library database / The Library database
• linear regression
  • about / Linear regression
  • in Excel / Linear regression in Excel
  • Java implementation / Java implementation of linear regression
  • Anscombe's quartet / Anscombe's quartet
• line graph
  • about / Line graphs
  • generating / Line graphs
• logarithmic time / Table indexes
• logistic function
  • about / Logistic regression
• logistic regression
  • about / Logistic regression
  • example / Logistic regression
  • K-Nearest Neighbors / K-Nearest Neighbors
• logit function / Logistic regression
• LU decomposition
  • about / Polynomial regression

M

• Manhattan metric / Measuring distances
• map / Large sparse matrices
• Map data structure / The Map data structure
• MapReduce
  • matrix multiplication, implementing / Matrix multiplication with MapReduce
  • in MongoDB / MapReduce in MongoDB
• MapReduce applications
  • examples / Some examples of MapReduce applications
• MapReduce framework / Google's MapReduce framework
• marginal probabilities / Multivariate distributions
• Markov chain / Google's PageRank algorithm
• matrix multiplication
  • with MapReduce / Matrix multiplication with MapReduce
• maximum
  • about / Descriptive statistics
• mean average
  • about / Descriptive statistics
• median
  • about / Descriptive statistics
• merging / Merging
• message-passing / Affinity propagation clustering
• metadata / Metadata
• method of least squares
  • about / Polynomial regression
• metric / Measuring distances
• metric space / Measuring distances
• Microsoft Excel
  • moving average, computing / Moving average
• Microsoft Excel data / Microsoft Excel data
• minimal spanning tree (MST) / Some examples of MapReduce applications
• minimum
  • about / Descriptive statistics
• Minkowski metric / Measuring distances
• mode
  • about / Descriptive statistics
• mongo-java-driver JAR files
  • download link / Java development with MongoDB
• Mongo database system / The Mongo database system
• MongoDB
  • download link / The Mongo database system
  • references / The Mongo database system
  • indexing / Indexing in MongoDB
  • need for / Why NoSQL and why MongoDB?
  • about / MongoDB
• MongoDB extension
  • for geospatial databases / The MongoDB extension for geospatial databases
• MongoDB installation file
  • download link / MongoDB
• MongoDB Manual
  • reference / The Mongo database system
• moving average / Moving average
  • computing, in Microsoft Excel / Moving average
• MovingAverage class
  • test program / Moving average
• moving average series / Moving average
• multilinear functions / Multiple linear regression
• multiple linear regression / Multiple linear regression
• multivariate distributions / Multivariate distributions
• multivariate probability distribution function / Multivariate distributions
• MySQL
  • database schema, creating / MySQL Workbench
• MySQL database
  • accessing, from NetBeans / Accessing the MySQL database from NetBeans

N

• naive Bayes classification algorithm
  • about / Bayesian classifiers
• Neoj4 / Other NoSQL database systems
• NetBeans
  • MySQL database, accessing from / Accessing the MySQL database from NetBeans
• Netflix prize / The Netflix prize
• normal distribution
  • about / The normal distribution
  • example / A thought experiment
• normal equations / Computing the regression coefficients
• NoSQL
  • versus SQL / SQL versus NoSQL
  • need for / Why NoSQL and why MongoDB?
• NoSQL database systems
  • reference / Other NoSQL database systems
  • about / Other NoSQL database systems
• null hypothesis / Hypothesis testing
• null values / Null values

O

• offset / Using random access files
• ordinary least squares (OLS)
  • about / The Apache Commons implementation
• outlier / Anscombe's quartet

P

• PageRank algorithm / Google's PageRank algorithm
• parser / XML and JSON data
• parsing / XML and JSON data
• partitioning around medoids (PAM) / K-medoids clustering
• percentile
  • about / Descriptive statistics
• POI open source API library
  • download link / Microsoft Excel data
• polynomial regression
  • about / Polynomial regression
• population
  • about / Random sampling
• primary key / The relation data model
• probabilistic events
  • independence / The independence of probabilistic events
• probabilities
  • facts / Random sampling
• probability density function (PDF) / A thought experiment
• probability distribution function (PDF) / Probability distributions
• probability function
  • about / Random sampling
• probability set function
  • about / Random sampling
• Pythagorean theorem / Measuring distances

Q

• quality control department (QCD) / Confidence intervals
• quartiles
  • about / Descriptive statistics

R

• random access files
  • using / Using random access files
• random experiment
  • about / Random sampling
• random sample
  • about / Random sampling
• random sampling
  • about / Random sampling
• random variable / Random variables
• range
  • about / Descriptive statistics
• red-black tree data structure / Large sparse matrices
• Redis / Other NoSQL database systems
• regression
  • about / Linear regression
• regression coefficients
  • computing / Computing the regression coefficients
• relation / The relation data model
• relational database (Rdb) / Java development with MongoDB
• relational database (RDB) / The relation data model, Relational databases
• relational database design
  • about / Relational database design
  • database, creating / Creating a database
  • SQL commands / SQL commands
  • data, inserting into database / Inserting data into the database
  • database queries / Database queries
  • SQL data types / SQL data types
  • Java Database Connectivity (JDBC) / JDBC
  • JDBC PreparedStatement, using / Using a JDBC PreparedStatement
  • batch processing / Batch processing
  • database views / Database views
  • subqueries / Subqueries
  • table indexes / Table indexes
• relational databases (Rdbs) / The Mongo database system
• relational database system (RDBMS) / Creating a database
• Relational database systems (Rdbs) / Scaling, data striping, and sharding
• relational database tables / Relational database tables
• relation data model / The relation data model
• residual / Linear regression in Excel
• rows / The relation data model
• running average / Moving average

S

• sample / Frequency distributions
• sample correlation coefficient / Linear regression in Excel
• sample space
  • about / Random sampling
• sample variance / Descriptive statistics
• scalability / Scalability
• scaling / Scaling, data striping, and sharding
• scatter plot
  • about / Scatter plots
  • generating / Scatter plots
• schema / The relation data model, Relational databases
• scientific method / The scientific method
• sharding / Scaling, data striping, and sharding
• shards / Scaling, data striping, and sharding
• show collections command
  • collections / The Mongo database system
• sigmoid curve
  • about / Logistic regression
• similarity measure / Utility matrices, Similarity measures
• simple average
  • about / Descriptive statistics
• simple recommender system / A simple recommender system
• skewness
  • about / Descriptive statistics
• SN 1572 / The scientific method
• sorting / Sorting
• sparse matrix / Large sparse matrices, Google's PageRank algorithm
• sparse matrix format / Matrix multiplication with MapReduce
• spectacular example / A spectacular example
• SQL
  • versus NoSQL / SQL versus NoSQL
• SQL (Structured Query Language) / Creating a database
• SQL commands / SQL commands
• SQL data types / SQL data types
• SQL script / SQL commands
• Standard Generalized Markup Language (SGML) / XML and JSON data
• standard normal distribution / The standard normal distribution
• standard normal distribution / The standard normal distribution
• statement object / Using a JDBC PreparedStatement
• statistics
  • descriptive statistics / Descriptive statistics
• subquery / Subqueries
• support vector machine (SVM) / Support vector machine algorithms
• support vector machine algorithms / Support vector machine algorithms

T

• table indexes / Table indexes
• tables / Tables and graphs
• taxicab metric / Measuring distances
• test datasets
  • generating / Generating test datasets
• time series
  • about / Time series
  • simulating / Java example
• TimeSeries class
  • test program / Java implementation
• total variation / Variation statistics
• transition matrix / Google's PageRank algorithm
• triangle inequality / Measuring distances
• tuples / The relation data model
• two-tailed test / Hypothesis testing
• Type I error / Bayes' theorem, Hypothesis testing
• Type II error / Bayes' theorem
• type signature / Data points and datasets

U

• unexplained variation / Variation statistics
• Universal Product Codes (UPCs) / The Map data structure
• user ratings
  • implementing / Implementing user ratings
• utility matrix / Utility matrices

V

• variables / Variables
• variation statistics / Variation statistics
• vehicle identification number (VIN) / The Map data structure
• vertical scaling / Scaling, data striping, and sharding
• virtual table / Database views
• VisiCalc / VisiCalc

W

• weighted mean
  • about / Descriptive statistics
• Weka
  • about / The Weka platform
  • download link / The Weka libraries
• Weka implementation / Weka implementation
• Weka libraries
  • about / The Weka libraries
• Weka Workbench
  • reference / The Weka platform
• WordCount example / The WordCount example
• WordCount problem / Some examples of MapReduce applications

X

• XML data / XML and JSON data