Download presentation
Presentation is loading. Please wait.
1
Mining data with PolyAnalyst © 1999 Megaputer intelligence, Inc. learn to profit from data
2
Outline Why data mining?Why data mining? PolyAnalyst solution overviewPolyAnalyst solution overview Learning algorithmsLearning algorithms Data handling and result reportingData handling and result reporting Customer casesCustomer cases Future developmentsFuture developments
3
Here is a business information chain: Consider a fragment of the chain: Problem Problem: How to get Knowledge from data? Data - is what we can capture and store Data Knowledge - is what provides for informed decisions Knowledge DataKnowledgeDecisionAction
4
PolyAnalyst PolyAnalyst is the most comprehensive and user-friendly data mining solution for PC Solution Computers can be taught to learn from data DataKnowledge Data mining is a process of discovering new and valuable knowledge hidden in data
5
PolyAnalyst overview
6
What is PolyAnalyst ? PolyAnalyst multi-strategy data mining suite utilizing the latest achievements in knowledge discovery in databases powerful data manipulation and visualization tools
7
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
8
Tasks solved Modeling Predicting Clustering Classifying Explaining
9
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
10
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
11
Fields of application
12
PolyAnalyst machine learning algorithms
13
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)
14
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)
15
Sample customer cases
16
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.”
17
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.”
18
PolyAnalyst Future Developments
19
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
20
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.
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.