Making Sense of Data
Glenn J. MyattGlenn J. Myatt has a bachelor’s degree in computing, a master's degree in knowledge based systems and a Ph.D. in informatics. He has held a number of academic and industrial positions with experience in teaching and deploying data mining methodologies.
From summarizing and interpreting data, to identifying
non-trivial facts, patterns, and relationships in the data,
to making predictions from the data, Making Sense of Data
addresses the many issues that need to be considered as
well as the steps that need to be taken to make decisions
from data.
  • Practical, hands-on books for learning data mining
  • A simple and comprehensive book that describes how to apply statistical methods
  • Outlines the process of data analysis
Making Sense Of Data
 
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Highlights    
Process
Definition
Preparation
      Searching
      Characterizing
      Cleaning
      Transforming
      Segmenting

 
Tables and graphs
      Contingency tables
      Summary tables
      Frequency polygrams
      Histograms | Scatterplots
      Box plots | Multiple graphs
Statistics
      Descriptive statistics
      Inferential Statistics
      Comparative statistics


 
Grouping
      Clustering
      Associative rules
      Decision trees
Prediction
      Regression
      k-nearest neighbors
      Classification trees
      Regression trees
      Neural networks
Deployment
Case studies
 
Making Sense of Data Making Sense of Data The BookMaking Sense of Data : SoftwareMaking Sense of Data: Data SetsMaking Sense of Data: TutorialsContact Glenn J. Myatt