Index
A
B
- bar charts
- Bayesian
- Bayesian modeling and classifiers
- Benford's law
- binding command / How it works…
- bootstrapping
- Brown corpus
- buffer operators
- build-in operations
C
- C2
- Cascading
- Cascalog
- URL / Introduction, Aggregating data with Cascalog
- initializing, for distributed processing / Initializing Cascalog and Hadoop for distributed processing, How to do it…, How it works…
- data, querying with / Querying data with Cascalog, Getting ready, How it works…
- CSV files, parsing with / Parsing CSV files with Cascalog, How to do it…, How it works…
- complex queries, executing with / Executing complex queries with Cascalog, How to do it…
- data, aggregating with / Aggregating data with Cascalog, How to do it…
- data, transforming with / Transforming data with Cascalog, How it works…
- Cascalog operators
- charts
- Clojars
- Clojuratica
- Clojure
- clojure.java.jdbc library
- clojure.tools.trace
- Clojure data structures
- Clojure documentation
- ClojureScript
- Clojure wrapper
- Cloudera
- clustering
- Colt library
- columns
- selecting, with $ / Selecting columns with $, How to do it…, How it works…
- deleting, in Weka / Filtering, renaming, and deleting columns in Weka datasets
- renaming, in Weka / Filtering, renaming, and deleting columns in Weka datasets
- filtering, in Weka / Filtering, renaming, and deleting columns in Weka datasets
- renaming / Renaming columns
- removing / Removing columns
- hiding / Hiding columns, How it works…
- comma-separated values (CSV) / Introduction
- commute
- complex queries
- Compojure
- Compojure API documentation
- compute-report function / How it works…
- concurrent programming
- concurrent programs
- consistency
- content words
- correct function / How it works…
- Coursera
- create-chart function / How it works…
- Criterium
- Criterium library
- CSV data
- CSV file
- CSV files
- currencies
- currency data
- custom data formats
- custom error handler
D
- D3
- D3 JavaScript library
- data
- reading, from Excel with Incanter / Reading data from Excel with Incanter, How it works…
- reading, from JDBC databases / Reading data from JDBC databases, How to do it…, How it works…
- scraping, from tables in web pages / Scraping data from tables in web pages, Getting ready, How to do it…, How it works…
- aggregating, from different formats / Aggregating data from different formats, How to do it…
- triple store, creating / Creating the triple store
- exchange rates, scraping / Scraping exchange rates
- currency data, loading / Loading currency data and tying it all together, See also
- cleaning, with regular expressions / Cleaning data with regular expressions, How to do it…, How it works…
- validating, with Valip / Validating data with Valip, How to do it…
- chunking, for pmap / Chunking data for pmap
- querying, with Cascalog / Querying data with Cascalog, How to do it…, How it works…
- distributing, with Apache HDFS / Distributing data with Apache HDFS, Getting ready, How to do it…, How it works…
- aggregating, with Cascalog / Aggregating data with Cascalog, How to do it…, There's more
- transforming, with Cascalog / Transforming data with Cascalog, How it works…
- grouping, with $group-by / Grouping data with $group-by, How to do it…
- saving, as JSON / Saving data as JSON, How it works…
- classifying, with decision trees / Classifying data with decision trees, How to do it…, How it works…
- classifying, with Naive Bayesian classifier / Classifying data with the Naive Bayesian classifier, How to do it…, How it works…
- classifying, with SVMs / Classifying data with support vector machines, Getting ready, How to do it…
- serving, with Ring / Serving data with Ring and Compojure, How to do it…
- serving, with Compojure / Serving data with Ring and Compojure, How to do it…
- serving / Serving data
- data consistency
- data errors
- dataset constructor / How it works…
- datasets
- Clojure data structures, loading into / Loading Clojure data structures into datasets, How to do it…, See also…
- viewing, with view / Viewing datasets interactively with view, How it works…
- converting, to matrices / Converting datasets to matrices, Getting ready, There's more…
- filtering, with $where / Filtering datasets with $where, How it works…
- saving, to CSV / Saving datasets to CSV and JSON, How it works…
- saving, to JSON / Saving datasets to CSV and JSON, How it works…
- URL / How to do it…
- dates
- DBPedia
- decision trees
- delete-char function / How it works…
- Dirichlet distribution
- distributed processing
- document frequencies
- documents
- document size
- domain specific language (DSL)
- duplicate data
- dynamic charts
E
F
- <| function / How it works…
- FASTA data
- FASTA format
- filter operators
- force-directed layouts
- function calls
- function plots
- functions
- function words
- fuzzy-dist
G
- $group-by
- get-corpus-terms function / How to do it…
- get-dataset function / How it works…
- get-idf-cache function / How to do it…
- Google Closure library
- Google Finance
- graphs
- Graphviz
- groups of data
H
I
- ID3 algorithm
- Incanter
- URL / Introduction, Introduction, There's more...
- processing, parallelizing with / Parallelizing processing with Incanter
- infix formulas, using / Using infix formulas in Incanter, How to do it…, How it works…
- SOMs, clustering with / Clustering with SOMs in Incanter, How to do it…
- scatter plots, creating with / Creating scatter plots with Incanter, How to do it..., How it works...
- histograms, creating with / Creating histograms with Incanter, How it works...
- function plots, creating with / Creating function plots with Incanter, How it works...
- dynamic charts, creating with / How it works...
- incanter.core/query-dataset
- Incanter charts
- Incanter datasets
- CSV data, reading into / Reading CSV data into Incanter datasets, Getting ready, How it works…
- JSON data, reading into / Reading JSON data into Incanter datasets, Getting ready, How to do it…
- XML data, reading into / Reading XML data into Incanter datasets, Getting ready, How to do it…, There's more…
- Incanter documentation
- Incanter Zoo
- infix formulas
- Infochimps
- insert-split function / How it works…
- interactive visualizations
- ionosphere dataset
J
- Java data types, R
- Java Development Kit
- JavaDocs
- JavaDocs, for Pattern class
- JavaScript Object Notation (JSON)
- Java tutorial, on regular expressions
- JDBC
- JDBC databases
- Jetty
- JFreeChart
- Joda Java library
- JSON
- JSON data
K
- K-Means clustering
- K-means clustering
- kr Clojure library
- kr library
L
- large data sets
- large inputs
- least squares linear regression
- Leiningen
- lein new command / How to do it...
- LibSVM class
- linear regression
- linear relationships
- lines
- Linux
- Lisp's (List Processing) / How it works…
- load-stopwords function / How to do it…
- load-table-data function / How it works…
- load-xml-data
M
- Mac OS X
- macros
- main function / How it works…
- MALLET
- map concatenation operators
- map operators
- MapReduce algorithm
- Mathematica
- URL / Introduction, Getting ready, There's more…, Getting ready
- setting up, for Mac OS X / Setting up Mathematica to talk to Clojuratica for Mac OS X and Linux, How to do it…, There's more…
- setting up, for Linux / Setting up Mathematica to talk to Clojuratica for Mac OS X and Linux, How to do it…, There's more…
- setting up, for Windows / Setting up Mathematica to talk to Clojuratica for Windows, How to do it..., How it works...
- functions, creating from / Creating functions from Mathematica, How to do it…
- Mathematica functions
- Mathematica scripts
- Mathematica StackExchange
- matrices
- matrixes
- Maven
- metaheuristic
- middleware / How it works…
- Monte Carlo methods
- Monte Carlo simulations
- multinomial Bayesian distributions
- multiple datasets, with $join
- mushroom dataset
N
- NaiveBayes class
- Naive Bayesian classifier
- natural language processing (NLP)
- Natural Language Toolkit
- naïve Bayesian classification
- NER
- people, finding with / Finding people, places, and things with Named Entity Recognition, How to do it…, How it works…
- places, finding with / Finding people, places, and things with Named Entity Recognition, How to do it…, How it works…
- things, finding with / Finding people, places, and things with Named Entity Recognition, How to do it…, How it works…
- non-linear relationships
- non-numeric data
- normalize function / How to do it…
- numbers
- NVD3
- URL / Introduction, There's more…
- scatter plots, creating with / Creating scatter plots with NVD3, How to do it…, How it works…
- bar charts, creating with / Creating bar charts with NVD3, How to do it…, How it works…
- histograms, creating with / Creating histograms with NVD3, How to do it…, How it works…
- NVD3 library
- NVD3 style sheet
O
- online summary statistics
- online tester, RegexPlant
- OpenNLP
- Open Secrets
- optimal partition size
- output-points function / How to do it…
P
- parallel aggregate operators
- Parallel Colt Java library
- parallelism
- parallelization
- parallel programming
- parse-ez library
- people
- Pig / Initializing Cascalog and Hadoop for distributed processing
- pipeline processing
- places
- pmap
- POI Factory
- Political Action Committee (PAC) / Getting ready
- Pretrained models
- processing
- program complexity
- project
- Project Gutenberg
Q
R
- $rollup
- $rollup function / How it works…
- R
- RDF data
- Reduce operation
- reducers
- regular expression
- regular expressions
- relative values
- REPL
- replace-split function / How it works…
- Resource Description Format (RDF) / How it works…
- results
- R files
- R functions
- R gallery
- Ring
- Ring's API documentation
- routes
- rows
- R project
- Rserve
S
- sample datasets, Incanter
- sample statistics
- scatter charts
- scatter plots
- Screen
- screen
- self-organizing maps
- sentences
- seque function / How it works...
- Sequence files
- server
- Sesame
- Sesame data store
- SimpleKMeans class
- simulated annealing
- sine wave function
- sized queues
- Software Transactional Memory (STM)
- SOMs
- source tap
- SpamAssassin website
- SPARQL
- sparql-select-query function / How it works…
- sparse vectors / Mapping documents to a sparse vector space representation
- spelling errors
- split-word function / How it works…
- SQLite database
- standard error
- State of the Union (SOTU)
- statistical tokenizer
- Stat Trek
- STM
- program complexity, managing with / Managing program complexity with STM, Getting ready, How to do it…, How it works…, See also
- and agents, combining / Combining agents and STM, How to do it…, How it works…
- side effects, introducing into / Introducing safe side effects into the STM, How to do it…
- stoplists
- stopwords
- structures
- summary statistics
- SVG
- SVMs
- synonym maps
T
U
V
- validators
- Valip
- values change
- Variable binding
- variable relationships
- variables
- variation
- vectors
- vector space representation
- view
W
- $where
- watchers
- web application
- web pages
- Weka
- URL / Introduction, See also…
- CSV file, loading into / Loading CSV and ARFF files into Weka, How to do it…, There's more…
- ARFF file, loading into / Loading CSV and ARFF files into Weka, How to do it…, See also…
- columns, filtering / Filtering, renaming, and deleting columns in Weka datasets, How to do it…
- columns, renaming / Filtering, renaming, and deleting columns in Weka datasets, How to do it…
- columns, deleting / Filtering, renaming, and deleting columns in Weka datasets, How to do it…
- hierarchical clusters, finding / Finding hierarchical clusters in Weka, How to do it…, How it works…
- Weka datasets
- Weka documentation
- Weka library
- Windows
- within-cluster sum of squared errors (WCSS) / Analyzing the results
- World Bank
X
Z
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