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StatSoft Data Mining


 
A handy textbook reference with plenty of theory along with workable applications is Handbook of Statistical Analysis and Data Mining Applications (Nisbet).

StatSoft also offers a series of data mining tutorial videos on its YouTube channel.

1.   Session 1  Data Mining with STATISTICA
2.   Session 2  Data Mining Process using CRISP
3.   Session 3  Introduction of Credit Risk Data
4.   Session 4  Data Import and Query
5.   Session 5  Initial Graphical Review
6.   Session 6  Data Cleaning & Outliers
7.   Session 7  Data Cleaning and Missing Data
8.   Session 8  Other Data Cleaning Techniques
9.   Session 9  Graphical Exploration
10.  Session 10  Data Sampling
11.  Session 11  Stratified Random Sampling   (see also text Sampling: Design and Analysis (Lohr))
12.  Session 12  Data Sampling and Case Selection
13.  Session 13  Variable Screening
14.  Session 14  Impact of Too Many Variables
15.  Session 15  Variable Redundancy
16.  Session 16  Introduction to Recursive Partitioning Methods
17.  Session 17  C&RT
18.  Session 18  CHAID for Classification
19.  Session 19  Boosted Trees
20.  Session 20  Random Forest Tools
21.  Session 21  Comparing Performance Across Models
22.  Session 22  Voted Predictions
23.  Session 23  Introduction of Beverage Manufacturing Data
24.  Session 24  C&RT for Regression
25.  Session 25  MARSplines for Regression
26.  Session 26  Neural Networks for Regression
27.  Session 27  Introduction of Marketing Data
28.  Session 28  Cluster Techniques
29.  Session 29  Exploring Model Lift and Gain
30.  Session 30  Model Deployment and Scoring
31.  Session 31  Data Miner Workspace
32.  Session 32  Custom Nodes in Data Miner Workspace
33.  Session 33  Automation and Macros
34.  Session 34  Using and Manipulating Data Miner Projects Via Automation
35.  Session 35  Data Miner Recipes



 

 
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