Skip to Main Content
Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, 2nd Edition
book

Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, 2nd Edition

by Glenn J. Myatt, Wayne P. Johnson
August 2014
Beginner to intermediate content levelBeginner to intermediate
248 pages
5h 54m
English
Wiley
Content preview from Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, 2nd Edition

INDEX

 

  • Accuracy
  • Agglomerative hierarchical clustering
  • Alternative hypothesis. See also Hypothesis testing
  • Analysis of data, see Data analysis
  • Analysis of variance, see One-way analysis of variance
  • Antecedent in decision tree rule. See also Association rules
  • Artificial neural network, see Neural network
  • Association rules
    • antecedent part of
    • confidence measure of
    • consequence part of
    • extraction of
    • grouping of
    • lift measure of
    • support measure of
  • Assumptions, linear regression
    • homoscedasticity of errors
    • independence
    • linearity
    • normality of error distribution
  • Average, see Mean

 

  • Bar chart. See also Graphs
  • Bimodal distribution. See also Distributions
  • Binary, see Variables, binary
  • Black-box, see Model, transparency
  • Box-and-whisker plots, see Box plots
  • Box plots. See also Graphs
  • Brushing

 

  • Central limit theorem
  • Central tendency
    • mean
    • median
    • mode
  • Charts, see Graphs
  • Chi-square. See also Hypothesis tests
  • Classification
    • models. See also Model
    • and regression trees (CART), see Decision trees
    • trees
  • Cleaning data
  • Clustering. See also Grouping
    • agglomerative hierarchical
    • k-means
  • Coefficient of determination
  • Concordance
  • Confidence. See also Association rules
  • Confidence interval
  • Consequence. See also Association rules
  • Constant
  • Contingency tables
    • in Traceis software
    • for validating models
    • for visualizing relationships
  • Correlation coefficient (r)
  • CRISP-DM
  • Cross-classification tables. See also Contingency tables
  • Cross-disciplinary teams
  • Cross-validation
    • k-fold
  • leave-one-out ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining

Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining

Glenn J. Myatt
Data Mining, 4th Edition

Data Mining, 4th Edition

Ian H. Witten, Eibe Frank, Mark A. Hall, Christopher J. Pal

Publisher Resources

ISBN: 9781118422106Purchase book