DM STAT
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1
DIGEST
I
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Data
Mining
and
Its
Aplications
1.
Data Mining Paradigm
2.
Data Mining 101
3.
Genetic Data Mining Method for the Proper Use of the Correlation Coefficient
4.
A Genetic Jackknife Method: 3-in-1 Tool for Variable Selection, Data Mining and Model Building
5.
Perhaps the Easiest Method of Building a Database Response Model
6.
The GenIQ Model: A Unique Data Mining Tool
7.
High Performance Computing for Discovering Interesting and Previously Unknown Information in Direct Marketing Data
8.
A New Data Mining Method for Identifying Extreme Response Segments
9.
Data Mining for Predictive Value of Discarded Individuals with Missing Data
10.
Visualization of Database Models
11.
A Simple Data Mining Method for Variable Assessment
12.
Profile Curves: A Method of Multivariate Comparison of Groups
13.
A Phat Example of the GenIQ Model's Predictive Power
14.
A Unique Data Mining Tool for Direct Marketing
15.
A New Method for Including Qualitative Information in Database Models
16.
Fraud Detection: Beyond the Rules-Based Approach
17.
CHAID for Uncovering Relationships: A Data Mining Tool
18.
A Variable Selection Method that Provides a Unique Ranking of Variable Importance
19.
Tukey's Bulging Rule for Straightening Data
20.
Tukey's Bulging Rule: Why Use It, and What to Do When It Fails
21.
Gain of a Predictive Information Advantage: Data Mining via Evolution
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For more information about this article, call Bruce Ratner at 516.791.3544 or 1 800 DM STAT-1; or e-mail at
br@dmstat1.com
.
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