Index
A
- A/B test
- A/B testing
- adjacency list
- alternative hypothesis
- Amazon
- American National Corpus (ANC) / Getting the data
- answers
- Apache POI project
- ArcGIS
- average path length metric, social network graphs / Average path length
B
- base map
- basics, stock data modeling project
- Bayesian inference
- Benford's Law
- between-subjects experiment design
- betweenness centrality
- Big Data
- bigrams / Preparing the data
- Bing Map
- BitTorrent
- Boudewijn F. Roukema
- breadth-first function / Implementing the graphs, Paths
- breadth-first walk
- burglary rates
C
D
- D3
- data
- data, burglary rates
- data analysis
- data classification, hoaxes
- data preparation, hoaxes
- degrees-between function / Degrees of separation
- degrees metric, social network graphs / Degrees
- degrees of separation metric, social network graphs / Degrees of separation
- density metric, social network graphs / Density
- depth-first walk
- description
- Dijkstra's algorithm / Paths
- dis legomena
- double-blind experiments
E
- 0.edges
- 0.egofeat
- Eckert IV projection / Working with map projections
- Edmunds
- Enclog
- enlive/html-resource function / Getting the data
- Enlive library
- error rates
- ESRI
- experiment, A/B test
- experiment, burglary rates
- conducting / Conducting the experiment
- initial hypothesis, formulating / Formulating an initial hypothesis
- alternative hypothesis, stating / Stating the null and alternative hypotheses
- null hypothesis, stating / Stating the null and alternative hypotheses
- statistical assumptions, identifying in sample / Identifying the statistical assumptions in the sample
- tests appropriateness, determining / Determining which tests are appropriate
- significance level, selecting / Selecting the significance level
- critical region, determining / Determining the critical region
- probability, calculating / Calculating the test statistic and its probability
- test statistic, calculating / Calculating the test statistic and its probability
- rejection, deciding for null hypothesis / Deciding whether to reject the null hypothesis or not
- exploration versus exploitation problem
- exploratory data analysis
- extract-text method / Getting the data
F
G
H
- H2 embedded database
- hapax legomena
- heat map
- hive plot
- hoaxes
- Homebrew
- hotel review data
- HTML5 Boilerplate template
- hydrological modeling
I
J
- Johnson's algorithm / Paths
- jQuery
K
- K-fold cross validation
- knowledge-based social networks
- Korma
L
M
N
- naive Bayesian classifiers
- network diameter metric, social network graphs / Network diameter
- networking-oriented social networks
- neural nets
- news articles
- noir
- NUFORC
- NUFORC comments
- null-hypothesis test
- null hypothesis
- null hypothesis process
- null hypothesis testing
O
- online-controlled experiments
- Open ANC (OANC)
- OpenNLP library
- OpinRank Review dataset
P
Q
- Quantum GIS
- quintiles
- Quora
R
- 80/20 rule
- random-controlled experiments
- ranks, combining
- raw data, burglary rates
- read-eval-print loop (REPL) / Loading the data
- reducers / Reading the data
- results, A/B test
- results, burglary rates
- results, hotel review data
S
- scaffolded site
- select-keys function
- Selmer
- sentiment analysis
- server
- Simple Logging Facade for Java library
- Sina Weibo
- single-blind experiments
- Six Degrees of Kevin Bacon game
- Slate
- social data participation analysis project
- about / Setting up the project
- analyses, understanding / Understanding the analyses
- social network data, understanding / Understanding social network data
- knowledge-based social networks, understanding / Understanding knowledge-based social networks
- 80/20 rule, introducing / Introducing the 80/20 rule
- 80/20 rule, matching / Matching the 80/20 rule
- looking, for 20 percent of questioners / Looking for the 20 percent of questioners
- looking, for 20 percent who answer questions / Looking for the 20 percent of respondents
- ranks, combining / Combining ranks
- up-voted answers, finding / Finding the up-voted answers
- answers, processing / Processing the answers
- setting up / Setting up
- InstanceList object, creating / Creating the InstanceList object
- training sets / Training sets and Test sets, Training
- test sets / Training sets and Test sets, Testing
- outcome, evaluating / Evaluating the outcome
- social network graphs
- social networks
- SOTU
- SOTU address
- Spearman's rank correlation coefficient
- StackExchange
- StackOverflow
- Stanford Large Network Dataset Collection
- statistics, A/B test
- stock data
- stock data modeling
- stock data modeling project
- stock features
- stock prices
- stop lists / Stop lists
- subdirectories, Luminus project
- sum of squared errors (SSE)
T
- ?Torrent
- t-test
- t-test function
- tab-separated values (TSV)
- test-on utility
- test page / Planning the experiment
- tests appropriateness, flipping coins
- test site, A/B test
- text
- text, and stock features
- text, stock data modeling project
- text analysis, stock data modeling project
- tf-idf
- TF-IDF
- tf-idf-freqs function / TF-IDF
- tokenizing / Tokenizing
- TokenSequence2FeatureSequence / Loading the data into MALLET
- TokenSequenceLowercase / Loading the data into MALLET
- TokenSequenceRemoveStopwords / Loading the data into MALLET
- tools, for GIS specialists
- topic 26
- topic 42
- topic 43
- topic model
- topic modeling
- topic modeling descriptions
- topics
- topological modeling
- trigrams / Preparing the data
- TripAdvisor
- TSV file
- Twitter
- type one error
U
V
- view-shed analysis
- visualizations
- vocabulary
W
- Weka, and cross validation
- Weka machine learning library
- when-is-over function
- World Bank land area
- World DataBank
- world population data
Y
Z
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