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Transcript
Mining data with
PolyAnalyst
learn to profit from data
© 1999 Megaputer intelligence, Inc.
Outline
 Why data mining?
 PolyAnalyst solution overview
 Learning algorithms
 Data handling and result reporting
 Customer cases
 Future developments
Problem
Here is aabusiness
chain:
Consider
fragmentinformation
of the chain:
Data
Knowledge
Decision
Action
 Data - is what we can capture and store
 Knowledge - is what provides for informed decisions
 Problem: How to get Knowledge from data?
Data
Knowledge
Solution
 Computers can be taught to learn from data
 Data mining is a process of discovering new
and valuable knowledge hidden in data
 PolyAnalyst is the most comprehensive and
user-friendly data mining solution for PC
PolyAnalyst
Data
Knowledge
PolyAnalyst
overview
What is PolyAnalyst?
PolyAnalyst
 multi-strategy data mining suite
 utilizing the latest achievements in
knowledge discovery in databases
 powerful data manipulation and
visualization tools
Data Access
 PolyAnalyst works with ODBC-compliant
databases:
Oracle, DB2, Informix, Sybase, MS SQL Server, etc.
 Data and exploration results can be exchanged
with MS Excel
 CSV format files
Tasks solved
 Modeling
 Predicting
 Clustering
 Classifying
 Explaining
PolyAnalyst provides
 Reliable access to data held in a
database or data warehouse (works with
numerical, categorical, and yes/no variables)
 Comprehensive functions for data
manipulation and visualization
 Multiple machine learning algorithms
 Convenient result reporting, printing,
and incorporating in a decision support
system
PolyAnalyst workplace
Multiple machine learning algorithms can be accessed through
pull-down and pop-up menus, or control buttons
The project data, charts, discovered rules, and system reports are
represented by icons held in separate containers
Fields of application
Database
marketers



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Insurance and
HMO
companies
Securities and
currency traders
Hospitals and
physicians







Response prediction;
market segmentation;
customer valuation;
cross selling analysis
Customer retention;
head-cost reduction;
premium sensitivity testing
Forecasting market behavior;
trading strategy optimization
Medical diagnostics;
selecting medical interference
PolyAnalyst
machine learning
algorithms
Learning algorithms
 Find Laws (SKAT algorithm)
 Cluster (Localization of anomalies)
 Find Dependencies (n-dimensional distributions)
 Classify (Fuzzy logic modeling)
 PolyNet Predictor (GMDH-Neural Net hybrid)
 Linear Regression (Stepwise and rule-enriched)
And available in the new PolyAnalyst COM:
 Memory Based Reasoning (k-Nearest Neighbor)
PolyAnalyst
Customer base: 100+ installations
PolyAnalyst key customers:
 Boeing (USA)
 3M (USA)
 Alka Insurance (Denmark)
 Carlson Marketing (USA)
 France Telecom (France)
 Allstate Insurance (USA)
 University of Ulm (Germany)
 Pioneer Securities (Russia)
Sample
customer cases
PolyAnalyst supports medical
projects at 3M
Timothy Nagle
Consulting Scientist
3M Corporation
St. Paul, MN, USA
“. I found the user interface
both intuitive and easy to
use.
Megaputer support is
outstanding. The inevitable
problems one expects with a
complex system are dealt
with immediately.”
PolyAnalyst helps improving flight
control system at Boeing
James Farkas
Senior Navigation Engineer
The Boeing Company
Kent, WA, USA
“PolyAnalyst provides
quick and easy access
for inexperienced users
to powerful modeling
tools. Interfaces to
spreadsheet tools provide
flexibility needed to work
solutions as a team.”
PolyAnalyst
Future
Developments
Future developments
 New machine learning algorithms:
– Memory Based Reasoning
– Weighted variable Clustering and Classification
 PolyAnalyst COM built on the basis of
Component Object Model - an integrated
kit for simple development of decision support
applications utilizing advanced PolyAnalyst
algorithms (see PCAI Magazine, March 99, p. 16-19)
 Enhanced graphics (Snake and Boxplot charts)
and data import and manipulation
PolyAnalyst evaluation
We invite you to download an evaluation copy
of PolyAnalyst from
www.megaputer.com
and enjoy using it hands-on following provided
step-by-step lessons, or using your own data.
Megaputer team looks forward to helping
you with your project!
© 1999 Megaputer intelligence, Inc.